booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images-
[pdf]
[bibtex]@InProceedings{Cui_2019_CVPR,
author = {Cui, Zhiming and Li, Changjian and Wang, Wenping},
title = {ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Modularized Textual Grounding for Counterfactual Resilience-
[pdf]
[bibtex]@InProceedings{Fang_2019_CVPR,
author = {Fang, Zhiyuan and Kong, Shu and Fowlkes, Charless and Yang, Yezhou},
title = {Modularized Textual Grounding for Counterfactual Resilience},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving-
[pdf]
[bibtex]@InProceedings{Lu_2019_CVPR,
author = {Lu, Weixin and Zhou, Yao and Wan, Guowei and Hou, Shenhua and Song, Shiyu},
title = {L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Panoptic Feature Pyramid Networks-
[pdf]
[bibtex]@InProceedings{Kirillov_2019_CVPR,
author = {Kirillov, Alexander and Girshick, Ross and He, Kaiming and Dollar, Piotr},
title = {Panoptic Feature Pyramid Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mask Scoring R-CNN-
[pdf]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Zhaojin and Huang, Lichao and Gong, Yongchao and Huang, Chang and Wang, Xinggang},
title = {Mask Scoring R-CNN},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Hang and Jiang, Chenhan and Liang, Xiaodan and Lin, Liang and Li, Zhenguo},
title = {Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Modality Personalization for Retrieval-
[pdf]
[bibtex]@InProceedings{Murrugarra-Llerena_2019_CVPR,
author = {Murrugarra-Llerena, Nils and Kovashka, Adriana},
title = {Cross-Modality Personalization for Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Composing Text and Image for Image Retrieval - an Empirical Odyssey-
[pdf]
[bibtex]@InProceedings{Vo_2019_CVPR,
author = {Vo, Nam and Jiang, Lu and Sun, Chen and Murphy, Kevin and Li, Li-Jia and Fei-Fei, Li and Hays, James},
title = {Composing Text and Image for Image Retrieval - an Empirical Odyssey},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xiaobing and Jiang, Yingying and Luo, Zhenbo and Liu, Cheng-Lin and Choi, Hyunsoo and Kim, Sungjin},
title = {Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive NMS: Refining Pedestrian Detection in a Crowd-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Songtao and Huang, Di and Wang, Yunhong},
title = {Adaptive NMS: Refining Pedestrian Detection in a Crowd},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Point in, Box Out: Beyond Counting Persons in Crowds-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yuting and Shi, Miaojing and Zhao, Qijun and Wang, Xiaofang},
title = {Point in, Box Out: Beyond Counting Persons in Crowds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Locating Objects Without Bounding Boxes-
[pdf]
[bibtex]@InProceedings{Ribera_2019_CVPR,
author = {Ribera, Javier and Guera, David and Chen, Yuhao and Delp, Edward J.},
title = {Locating Objects Without Bounding Boxes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery-
[pdf]
[bibtex]@InProceedings{Singh_2019_CVPR,
author = {Kumar Singh, Krishna and Ojha, Utkarsh and Jae Lee, Yong},
title = {FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification-
[pdf]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Si and Li, Jichang and Liu, Cheng and Yu, Zhiwen and Wong, Hau-San},
title = {Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects-
[pdf]
[bibtex]@InProceedings{Niitani_2019_CVPR,
author = {Niitani, Yusuke and Akiba, Takuya and Kerola, Tommi and Ogawa, Toru and Sano, Shotaro and Suzuki, Shuji},
title = {Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Curls & Whey: Boosting Black-Box Adversarial Attacks-
[pdf]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Yucheng and Wang, Siyu and Han, Yahong},
title = {Curls & Whey: Boosting Black-Box Adversarial Attacks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Barrage of Random Transforms for Adversarially Robust Defense-
[pdf]
[bibtex]@InProceedings{Raff_2019_CVPR,
author = {Raff, Edward and Sylvester, Jared and Forsyth, Steven and McLean, Mark},
title = {Barrage of Random Transforms for Adversarially Robust Defense},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Aggregation Cross-Entropy for Sequence Recognition-
[pdf]
[bibtex]@InProceedings{Xie_2019_CVPR,
author = {Xie, Zecheng and Huang, Yaoxiong and Zhu, Yuanzhi and Jin, Lianwen and Liu, Yuliang and Xie, Lele},
title = {Aggregation Cross-Entropy for Sequence Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Alfassy_2019_CVPR,
author = {Alfassy, Amit and Karlinsky, Leonid and Aides, Amit and Shtok, Joseph and Harary, Sivan and Feris, Rogerio and Giryes, Raja and Bronstein, Alex M.},
title = {LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Few-Shot Learning With Localization in Realistic Settings-
[pdf]
[bibtex]@InProceedings{Wertheimer_2019_CVPR,
author = {Wertheimer, Davis and Hariharan, Bharath},
title = {Few-Shot Learning With Localization in Realistic Settings},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs-
[pdf]
[bibtex]@InProceedings{Mancini_2019_CVPR,
author = {Mancini, Massimiliano and Rota Bulo, Samuel and Caputo, Barbara and Ricci, Elisa},
title = {AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Grounded Video Description-
[pdf]
[bibtex]@InProceedings{Zhou_2019_CVPR,
author = {Zhou, Luowei and Kalantidis, Yannis and Chen, Xinlei and Corso, Jason J. and Rohrbach, Marcus},
title = {Grounded Video Description},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Streamlined Dense Video Captioning-
[pdf]
[bibtex]@InProceedings{Mun_2019_CVPR,
author = {Mun, Jonghwan and Yang, Linjie and Ren, Zhou and Xu, Ning and Han, Bohyung},
title = {Streamlined Dense Video Captioning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adversarial Inference for Multi-Sentence Video Description-
[pdf]
[bibtex]@InProceedings{Park_2019_CVPR,
author = {Sung Park, Jae and Rohrbach, Marcus and Darrell, Trevor and Rohrbach, Anna},
title = {Adversarial Inference for Multi-Sentence Video Description},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations-
[pdf]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Hao and Mao, Jiayuan and Zhang, Yufeng and Jiang, Yuning and Li, Lei and Sun, Weiwei and Ma, Wei-Ying},
title = {Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Compose Dynamic Tree Structures for Visual Contexts-
[pdf]
[bibtex]@InProceedings{Tang_2019_CVPR,
author = {Tang, Kaihua and Zhang, Hanwang and Wu, Baoyuan and Luo, Wenhan and Liu, Wei},
title = {Learning to Compose Dynamic Tree Structures for Visual Contexts},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xin and Huang, Qiuyuan and Celikyilmaz, Asli and Gao, Jianfeng and Shen, Dinghan and Wang, Yuan-Fang and Yang Wang, William and Zhang, Lei},
title = {Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Gao_2019_CVPR,
author = {Gao, Peng and Jiang, Zhengkai and You, Haoxuan and Lu, Pan and Hoi, Steven C. H. and Wang, Xiaogang and Li, Hongsheng},
title = {Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cycle-Consistency for Robust Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Shah_2019_CVPR,
author = {Shah, Meet and Chen, Xinlei and Rohrbach, Marcus and Parikh, Devi},
title = {Cycle-Consistency for Robust Visual Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception-
[pdf]
[bibtex]@InProceedings{Wijmans_2019_CVPR,
author = {Wijmans, Erik and Datta, Samyak and Maksymets, Oleksandr and Das, Abhishek and Gkioxari, Georgia and Lee, Stefan and Essa, Irfan and Parikh, Devi and Batra, Dhruv},
title = {Embodied Question Answering in Photorealistic Environments With Point Cloud Perception},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reasoning Visual Dialogs With Structural and Partial Observations-
[pdf]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Zilong and Wang, Wenguan and Qi, Siyuan and Zhu, Song-Chun},
title = {Reasoning Visual Dialogs With Structural and Partial Observations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recursive Visual Attention in Visual Dialog-
[pdf]
[bibtex]@InProceedings{Niu_2019_CVPR,
author = {Niu, Yulei and Zhang, Hanwang and Zhang, Manli and Zhang, Jianhong and Lu, Zhiwu and Wen, Ji-Rong},
title = {Recursive Visual Attention in Visual Dialog},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Two Body Problem: Collaborative Visual Task Completion-
[pdf]
[bibtex]@InProceedings{Jain_2019_CVPR,
author = {Jain, Unnat and Weihs, Luca and Kolve, Eric and Rastegari, Mohammad and Lazebnik, Svetlana and Farhadi, Ali and Schwing, Alexander G. and Kembhavi, Aniruddha},
title = {Two Body Problem: Collaborative Visual Task Completion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering-
[pdf]
[bibtex]@InProceedings{Hudson_2019_CVPR,
author = {Hudson, Drew A. and Manning, Christopher D.},
title = {GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Text2Scene: Generating Compositional Scenes From Textual Descriptions-
[pdf]
[bibtex]@InProceedings{Tan_2019_CVPR,
author = {Tan, Fuwen and Feng, Song and Ordonez, Vicente},
title = {Text2Scene: Generating Compositional Scenes From Textual Descriptions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
From Recognition to Cognition: Visual Commonsense Reasoning-
[pdf]
[bibtex]@InProceedings{Zellers_2019_CVPR,
author = {Zellers, Rowan and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
title = {From Recognition to Cognition: Visual Commonsense Reasoning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation-
[pdf]
[bibtex]@InProceedings{Ma_2019_CVPR,
author = {Ma, Chih-Yao and Wu, Zuxuan and AlRegib, Ghassan and Xiong, Caiming and Kira, Zsolt},
title = {The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation-
[pdf]
[bibtex]@InProceedings{Ke_2019_CVPR,
author = {Ke, Liyiming and Li, Xiujun and Bisk, Yonatan and Holtzman, Ari and Gan, Zhe and Liu, Jingjing and Gao, Jianfeng and Choi, Yejin and Srinivasa, Siddhartha},
title = {Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning-
[pdf]
[bibtex]@InProceedings{Wortsman_2019_CVPR,
author = {Wortsman, Mitchell and Ehsani, Kiana and Rastegari, Mohammad and Farhadi, Ali and Mottaghi, Roozbeh},
title = {Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
High Flux Passive Imaging With Single-Photon Sensors-
[pdf]
[bibtex]@InProceedings{Ingle_2019_CVPR,
author = {Ingle, Atul and Velten, Andreas and Gupta, Mohit},
title = {High Flux Passive Imaging With Single-Photon Sensors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Photon-Flooded Single-Photon 3D Cameras-
[pdf]
[bibtex]@InProceedings{Gupta_2019_CVPR,
author = {Gupta, Anant and Ingle, Atul and Velten, Andreas and Gupta, Mohit},
title = {Photon-Flooded Single-Photon 3D Cameras},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Acoustic Non-Line-Of-Sight Imaging-
[pdf]
[bibtex]@InProceedings{Lindell_2019_CVPR,
author = {Lindell, David B. and Wetzstein, Gordon and Koltun, Vladlen},
title = {Acoustic Non-Line-Of-Sight Imaging},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Steady-State Non-Line-Of-Sight Imaging-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Wenzheng and Daneau, Simon and Mannan, Fahim and Heide, Felix},
title = {Steady-State Non-Line-Of-Sight Imaging},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction-
[pdf]
[bibtex]@InProceedings{Xin_2019_CVPR,
author = {Xin, Shumian and Nousias, Sotiris and Kutulakos, Kiriakos N. and Sankaranarayanan, Aswin C. and Narasimhan, Srinivasa G. and Gkioulekas, Ioannis},
title = {A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Projector Photometric Compensation-
[pdf]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Bingyao and Ling, Haibin},
title = {End-To-End Projector Photometric Compensation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera-
[pdf]
[bibtex]@InProceedings{Pan_2019_CVPR,
author = {Pan, Liyuan and Scheerlinck, Cedric and Yu, Xin and Hartley, Richard and Liu, Miaomiao and Dai, Yuchao},
title = {Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bringing Alive Blurred Moments-
[pdf]
[bibtex]@InProceedings{Purohit_2019_CVPR,
author = {Purohit, Kuldeep and Shah, Anshul and Rajagopalan, A. N.},
title = {Bringing Alive Blurred Moments},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Synthesize Motion Blur-
[pdf]
[bibtex]@InProceedings{Brooks_2019_CVPR,
author = {Brooks, Tim and Barron, Jonathan T.},
title = {Learning to Synthesize Motion Blur},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Underexposed Photo Enhancement Using Deep Illumination Estimation-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Ruixing and Zhang, Qing and Fu, Chi-Wing and Shen, Xiaoyong and Zheng, Wei-Shi and Jia, Jiaya},
title = {Underexposed Photo Enhancement Using Deep Illumination Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Blind Visual Motif Removal From a Single Image-
[pdf]
[bibtex]@InProceedings{Hertz_2019_CVPR,
author = {Hertz, Amir and Fogel, Sharon and Hanocka, Rana and Giryes, Raja and Cohen-Or, Daniel},
title = {Blind Visual Motif Removal From a Single Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising-
[pdf]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Wei and Yao, Quanming and Li, Chao and Yokoya, Naoto and Zhao, Qibin},
title = {Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Rerendering in the Wild-
[pdf]
[bibtex]@InProceedings{Meshry_2019_CVPR,
author = {Meshry, Moustafa and Goldman, Dan B. and Khamis, Sameh and Hoppe, Hugues and Pandey, Rohit and Snavely, Noah and Martin-Brualla, Ricardo},
title = {Neural Rerendering in the Wild},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GeoNet: Deep Geodesic Networks for Point Cloud Analysis-
[pdf]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Tong and Huang, Haibin and Yi, Li and Zhou, Yuqian and Wu, Chihao and Wang, Jue and Soatto, Stefano},
title = {GeoNet: Deep Geodesic Networks for Point Cloud Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MeshAdv: Adversarial Meshes for Visual Recognition-
[pdf]
[bibtex]@InProceedings{Xiao_2019_CVPR,
author = {Xiao, Chaowei and Yang, Dawei and Li, Bo and Deng, Jia and Liu, Mingyan},
title = {MeshAdv: Adversarial Meshes for Visual Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Spatially-Varying Indoor Lighting Estimation-
[pdf]
[bibtex]@InProceedings{Garon_2019_CVPR,
author = {Garon, Mathieu and Sunkavalli, Kalyan and Hadap, Sunil and Carr, Nathan and Lalonde, Jean-Francois},
title = {Fast Spatially-Varying Indoor Lighting Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Illumination: Lighting Prediction for Indoor Environments-
[pdf]
[bibtex]@InProceedings{Song_2019_CVPR,
author = {Song, Shuran and Funkhouser, Thomas},
title = {Neural Illumination: Lighting Prediction for Indoor Environments},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Sky Modeling for Single Image Outdoor Lighting Estimation-
[pdf]
[bibtex]@InProceedings{Hold-Geoffroy_2019_CVPR,
author = {Hold-Geoffroy, Yannick and Athawale, Akshaya and Lalonde, Jean-Francois},
title = {Deep Sky Modeling for Single Image Outdoor Lighting Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bidirectional Learning for Domain Adaptation of Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Yunsheng and Yuan, Lu and Vasconcelos, Nuno},
title = {Bidirectional Learning for Domain Adaptation of Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Enhanced Bayesian Compression via Deep Reinforcement Learning-
[pdf]
[bibtex]@InProceedings{Yuan_2019_CVPR,
author = {Yuan, Xin and Ren, Liangliang and Lu, Jiwen and Zhou, Jie},
title = {Enhanced Bayesian Compression via Deep Reinforcement Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Strong-Weak Distribution Alignment for Adaptive Object Detection-
[pdf]
[bibtex]@InProceedings{Saito_2019_CVPR,
author = {Saito, Kuniaki and Ushiku, Yoshitaka and Harada, Tatsuya and Saenko, Kate},
title = {Strong-Weak Distribution Alignment for Adaptive Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MFAS: Multimodal Fusion Architecture Search-
[pdf]
[bibtex]@InProceedings{Perez-Rua_2019_CVPR,
author = {Perez-Rua, Juan-Manuel and Vielzeuf, Valentin and Pateux, Stephane and Baccouche, Moez and Jurie, Frederic},
title = {MFAS: Multimodal Fusion Architecture Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Disentangling Adversarial Robustness and Generalization-
[pdf]
[bibtex]@InProceedings{Stutz_2019_CVPR,
author = {Stutz, David and Hein, Matthias and Schiele, Bernt},
title = {Disentangling Adversarial Robustness and Generalization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness-
[pdf]
[bibtex]@InProceedings{Theagarajan_2019_CVPR,
author = {Theagarajan, Rajkumar and Chen, Ming and Bhanu, Bir and Zhang, Jing},
title = {ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deeply-Supervised Knowledge Synergy-
[pdf]
[bibtex]@InProceedings{Sun_2019_CVPR,
author = {Sun, Dawei and Yao, Anbang and Zhou, Aojun and Zhao, Hao},
title = {Deeply-Supervised Knowledge Synergy},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Xing and Suganuma, Masanori and Sun, Zhun and Okatani, Takayuki},
title = {Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels-
[pdf]
[bibtex]@InProceedings{Yi_2019_CVPR,
author = {Yi, Kun and Wu, Jianxin},
title = {Probabilistic End-To-End Noise Correction for Learning With Noisy Labels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention-Guided Unified Network for Panoptic Segmentation-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Yanwei and Chen, Xinze and Zhu, Zheng and Xie, Lingxi and Huang, Guan and Du, Dalong and Wang, Xingang},
title = {Attention-Guided Unified Network for Panoptic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection-
[pdf]
[bibtex]@InProceedings{Ghiasi_2019_CVPR,
author = {Ghiasi, Golnaz and Lin, Tsung-Yi and Le, Quoc V.},
title = {NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jiashi and Qi, Qi and Wang, Jingyu and Ge, Ce and Li, Yujian and Yue, Zhangzhang and Sun, Haifeng},
title = {OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantically Aligned Bias Reducing Zero Shot Learning-
[pdf]
[bibtex]@InProceedings{Paul_2019_CVPR,
author = {Paul, Akanksha and Krishnan, Narayanan C. and Munjal, Prateek},
title = {Semantically Aligned Bias Reducing Zero Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Feature Space Perturbations Yield More Transferable Adversarial Examples-
[pdf]
[bibtex]@InProceedings{Inkawhich_2019_CVPR,
author = {Inkawhich, Nathan and Wen, Wei and (Helen) Li, Hai and Chen, Yiran},
title = {Feature Space Perturbations Yield More Transferable Adversarial Examples},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction-
[pdf]
[bibtex]@InProceedings{Jack_2019_CVPR,
author = {Jack, Dominic and Maire, Frederic and Shirazi, Sareh and Eriksson, Anders},
title = {IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Accelerating Convolutional Neural Networks via Activation Map Compression-
[pdf]
[bibtex]@InProceedings{Georgiadis_2019_CVPR,
author = {Georgiadis, Georgios},
title = {Accelerating Convolutional Neural Networks via Activation Map Compression},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Knowledge Distillation via Instance Relationship Graph-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yufan and Cao, Jiajiong and Li, Bing and Yuan, Chunfeng and Hu, Weiming and Li, Yangxi and Duan, Yunqiang},
title = {Knowledge Distillation via Instance Relationship Graph},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PPGNet: Learning Point-Pair Graph for Line Segment Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Ziheng and Li, Zhengxin and Bi, Ning and Zheng, Jia and Wang, Jinlei and Huang, Kun and Luo, Weixin and Xu, Yanyu and Gao, Shenghua},
title = {PPGNet: Learning Point-Pair Graph for Line Segment Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling-
[pdf]
[bibtex]@InProceedings{Wei_2019_CVPR,
author = {Wei, Zhen and Zhang, Jingyi and Liu, Li and Zhu, Fan and Shen, Fumin and Zhou, Yi and Liu, Si and Sun, Yao and Shao, Ling},
title = {Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Bayesian Dropout With a Hierarchical Prior-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yuhang and Dong, Wenyong and Zhang, Lei and Gong, Dong and Shi, Qinfeng},
title = {Variational Bayesian Dropout With a Hierarchical Prior},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
AANet: Attribute Attention Network for Person Re-Identifications-
[pdf]
[bibtex]@InProceedings{Tay_2019_CVPR,
author = {Tay, Chiat-Pin and Roy, Sharmili and Yap, Kim-Hui},
title = {AANet: Attribute Attention Network for Person Re-Identifications},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction-
[pdf]
[bibtex]@InProceedings{Makansi_2019_CVPR,
author = {Makansi, Osama and Ilg, Eddy and Cicek, Ozgun and Brox, Thomas},
title = {Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Yinghao and Dong, Xin and Li, Yudian and Su, Hao},
title = {A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet-
[pdf]
[bibtex]@InProceedings{Aoki_2019_CVPR,
author = {Aoki, Yasuhiro and Goforth, Hunter and Arun Srivatsan, Rangaprasad and Lucey, Simon},
title = {PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Few-Shot Adaptive Faster R-CNN-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Tao and Zhang, Xiaopeng and Yuan, Li and Feng, Jiashi},
title = {Few-Shot Adaptive Faster R-CNN},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
VRSTC: Occlusion-Free Video Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Hou_2019_CVPR,
author = {Hou, Ruibing and Ma, Bingpeng and Chang, Hong and Gu, Xinqian and Shan, Shiguang and Chen, Xilin},
title = {VRSTC: Occlusion-Free Video Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Compact Feature Learning for Multi-Domain Image Classification-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yajing and Tian, Xinmei and Li, Ya and Xiong, Zhiwei and Wu, Feng},
title = {Compact Feature Learning for Multi-Domain Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive Transfer Network for Cross-Domain Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Jiawei and Zha, Zheng-Jun and Chen, Di and Hong, Richang and Wang, Meng},
title = {Adaptive Transfer Network for Cross-Domain Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Aoxue and Luo, Tiange and Lu, Zhiwu and Xiang, Tao and Wang, Liwei},
title = {Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition-
[pdf]
[bibtex]@InProceedings{Shakeri_2019_CVPR,
author = {Shakeri, Moein and Zhang, Hong},
title = {Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pedestrian Detection With Autoregressive Network Phases-
[pdf]
[bibtex]@InProceedings{Brazil_2019_CVPR,
author = {Brazil, Garrick and Liu, Xiaoming},
title = {Pedestrian Detection With Autoregressive Network Phases},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Weijie and Xie, Di and Zhang, Yuan and Pu, Shiliang},
title = {All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Stochastic Class-Based Hard Example Mining for Deep Metric Learning-
[pdf]
[bibtex]@InProceedings{Suh_2019_CVPR,
author = {Suh, Yumin and Han, Bohyung and Kim, Wonsik and Mu Lee, Kyoung},
title = {Stochastic Class-Based Hard Example Mining for Deep Metric Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Wenbin and Wang, Lei and Xu, Jinglin and Huo, Jing and Gao, Yang and Luo, Jiebo},
title = {Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Robust Curve Text Detection With Conditional Spatial Expansion-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Zichuan and Lin, Guosheng and Yang, Sheng and Liu, Fayao and Lin, Weisi and Ling Goh, Wang},
title = {Towards Robust Curve Text Detection With Conditional Spatial Expansion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Revisiting Perspective Information for Efficient Crowd Counting-
[pdf]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Miaojing and Yang, Zhaohui and Xu, Chao and Chen, Qijun},
title = {Revisiting Perspective Information for Efficient Crowd Counting},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards Universal Object Detection by Domain Attention-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xudong and Cai, Zhaowei and Gao, Dashan and Vasconcelos, Nuno},
title = {Towards Universal Object Detection by Domain Attention},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Ensemble Deep Manifold Similarity Learning Using Hard Proxies-
[pdf]
[bibtex]@InProceedings{Aziere_2019_CVPR,
author = {Aziere, Nicolas and Todorovic, Sinisa},
title = {Ensemble Deep Manifold Similarity Learning Using Hard Proxies},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Quantization Networks-
[pdf]
[bibtex]@InProceedings{Yang_2019_CVPR,
author = {Yang, Jiwei and Shen, Xu and Xing, Jun and Tian, Xinmei and Li, Houqiang and Deng, Bing and Huang, Jianqiang and Hua, Xian-sheng},
title = {Quantization Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices-
[pdf]
[bibtex]@InProceedings{Peng_2019_CVPR,
author = {Peng, Chong and Chen, Chenglizhao and Kang, Zhao and Li, Jianbo and Cheng, Qiang},
title = {RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks-
[pdf]
[bibtex]@InProceedings{Reddy_2019_CVPR,
author = {Dinesh Reddy, N. and Vo, Minh and Narasimhan, Srinivasa G.},
title = {Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Featurized Image Pyramid Network for Single Shot Detector-
[pdf]
[bibtex]@InProceedings{Pang_2019_CVPR,
author = {Pang, Yanwei and Wang, Tiancai and Muhammad Anwer, Rao and Shahbaz Khan, Fahad and Shao, Ling},
title = {Efficient Featurized Image Pyramid Network for Single Shot Detector},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multi-Task Multi-Sensor Fusion for 3D Object Detection-
[pdf]
[bibtex]@InProceedings{Liang_2019_CVPR,
author = {Liang, Ming and Yang, Bin and Chen, Yun and Hu, Rui and Urtasun, Raquel},
title = {Multi-Task Multi-Sensor Fusion for 3D Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Chang_2019_CVPR,
author = {Chang, Woong-Gi and You, Tackgeun and Seo, Seonguk and Kwak, Suha and Han, Bohyung},
title = {Domain-Specific Batch Normalization for Unsupervised Domain Adaptation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Grid R-CNN-
[pdf]
[bibtex]@InProceedings{Lu_2019_CVPR,
author = {Lu, Xin and Li, Buyu and Yue, Yuxin and Li, Quanquan and Yan, Junjie},
title = {Grid R-CNN},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Weihe and Wang, Yali and Qiao, Yu},
title = {MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map-
[pdf]
[bibtex]@InProceedings{Thoma_2019_CVPR,
author = {Thoma, Janine and Pani Paudel, Danda and Chhatkuli, Ajad and Probst, Thomas and Van Gool, Luc},
title = {Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Triply Supervised Decoder Networks for Joint Detection and Segmentation-
[pdf]
[bibtex]@InProceedings{Cao_2019_CVPR,
author = {Cao, Jiale and Pang, Yanwei and Li, Xuelong},
title = {Triply Supervised Decoder Networks for Joint Detection and Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Leveraging the Invariant Side of Generative Zero-Shot Learning-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jingjing and Jing, Mengmeng and Lu, Ke and Ding, Zhengming and Zhu, Lei and Huang, Zi},
title = {Leveraging the Invariant Side of Generative Zero-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploring the Bounds of the Utility of Context for Object Detection-
[pdf]
[bibtex]@InProceedings{Barnea_2019_CVPR,
author = {Barnea, Ehud and Ben-Shahar, Ohad},
title = {Exploring the Bounds of the Utility of Context for Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A-CNN: Annularly Convolutional Neural Networks on Point Clouds-
[pdf]
[bibtex]@InProceedings{Komarichev_2019_CVPR,
author = {Komarichev, Artem and Zhong, Zichun and Hua, Jing},
title = {A-CNN: Annularly Convolutional Neural Networks on Point Clouds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DARNet: Deep Active Ray Network for Building Segmentation-
[pdf]
[bibtex]@InProceedings{Cheng_2019_CVPR,
author = {Cheng, Dominic and Liao, Renjie and Fidler, Sanja and Urtasun, Raquel},
title = {DARNet: Deep Active Ray Network for Building Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning-
[pdf]
[bibtex]@InProceedings{Landrieu_2019_CVPR,
author = {Landrieu, Loic and Boussaha, Mohamed},
title = {Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Graphonomy: Universal Human Parsing via Graph Transfer Learning-
[pdf]
[bibtex]@InProceedings{Gong_2019_CVPR,
author = {Gong, Ke and Gao, Yiming and Liang, Xiaodan and Shen, Xiaohui and Wang, Meng and Lin, Liang},
title = {Graphonomy: Universal Human Parsing via Graph Transfer Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage-
[pdf]
[bibtex]@InProceedings{Magri_2019_CVPR,
author = {Magri, Luca and Fusiello, Andrea},
title = {Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Late Fusion CNN for Digital Matting-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Yunke and Gong, Lixue and Fan, Lubin and Ren, Peiran and Huang, Qixing and Bao, Hujun and Xu, Weiwei},
title = {A Late Fusion CNN for Digital Matting},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
BASNet: Boundary-Aware Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Qin_2019_CVPR,
author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Gao, Chao and Dehghan, Masood and Jagersand, Martin},
title = {BASNet: Boundary-Aware Salient Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation-
[pdf]
[bibtex]@InProceedings{Lin_2019_CVPR,
author = {Lin, Di and Shen, Dingguo and Shen, Siting and Ji, Yuanfeng and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui},
title = {ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object Instance Annotation With Deep Extreme Level Set Evolution-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Zian and Acuna, David and Ling, Huan and Kar, Amlan and Fidler, Sanja},
title = {Object Instance Annotation With Deep Extreme Level Set Evolution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery-
[pdf]
[bibtex]@InProceedings{Sun_2019_CVPR,
author = {Sun, Tao and Di, Zonglin and Che, Pengyu and Liu, Chun and Wang, Yin},
title = {Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Adaptive Pyramid Context Network for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{He_2019_CVPR,
author = {He, Junjun and Deng, Zhongying and Zhou, Lei and Wang, Yali and Qiao, Yu},
title = {Adaptive Pyramid Context Network for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Isospectralization, or How to Hear Shape, Style, and Correspondence-
[pdf]
[bibtex]@InProceedings{Cosmo_2019_CVPR,
author = {Cosmo, Luca and Panine, Mikhail and Rampini, Arianna and Ovsjanikov, Maks and Bronstein, Michael M. and Rodola, Emanuele},
title = {Isospectralization, or How to Hear Shape, Style, and Correspondence},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Speech2Face: Learning the Face Behind a Voice-
[pdf]
[bibtex]@InProceedings{Oh_2019_CVPR,
author = {Oh, Tae-Hyun and Dekel, Tali and Kim, Changil and Mosseri, Inbar and Freeman, William T. and Rubinstein, Michael and Matusik, Wojciech},
title = {Speech2Face: Learning the Face Behind a Voice},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {In Kim, Kwang and Jin Chang, Hyung},
title = {Joint Manifold Diffusion for Combining Predictions on Decoupled Observations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Audio Visual Scene-Aware Dialog-
[pdf]
[bibtex]@InProceedings{Alamri_2019_CVPR,
author = {Alamri, Huda and Cartillier, Vincent and Das, Abhishek and Wang, Jue and Cherian, Anoop and Essa, Irfan and Batra, Dhruv and Marks, Tim K. and Hori, Chiori and Anderson, Peter and Lee, Stefan and Parikh, Devi},
title = {Audio Visual Scene-Aware Dialog},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Minify Photometric Stereo-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Junxuan and Robles-Kelly, Antonio and You, Shaodi and Matsushita, Yasuyuki},
title = {Learning to Minify Photometric Stereo},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Reflective and Fluorescent Separation Under Narrow-Band Illumination-
[pdf]
[bibtex]@InProceedings{Koyamatsu_2019_CVPR,
author = {Koyamatsu, Koji and Hidaka, Daichi and Okabe, Takahiro and Lensch, Hendrik P. A.},
title = {Reflective and Fluorescent Separation Under Narrow-Band Illumination},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Depth From a Polarisation + RGB Stereo Pair-
[pdf]
[bibtex]@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Dizhong and Smith, William A. P.},
title = {Depth From a Polarisation + RGB Stereo Pair},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rethinking the Evaluation of Video Summaries-
[pdf]
[bibtex]@InProceedings{Otani_2019_CVPR,
author = {Otani, Mayu and Nakashima, Yuta and Rahtu, Esa and Heikkila, Janne},
title = {Rethinking the Evaluation of Video Summaries},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What Object Should I Use? - Task Driven Object Detection-
[pdf]
[bibtex]@InProceedings{Sawatzky_2019_CVPR,
author = {Sawatzky, Johann and Souri, Yaser and Grund, Christian and Gall, Jurgen},
title = {What Object Should I Use? - Task Driven Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Triangulation Learning Network: From Monocular to Stereo 3D Object Detection-
[pdf]
[bibtex]@InProceedings{Qin_2019_CVPR,
author = {Qin, Zengyi and Wang, Jinglu and Lu, Yan},
title = {Triangulation Learning Network: From Monocular to Stereo 3D Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation-
[pdf]
[bibtex]@InProceedings{Riegler_2019_CVPR,
author = {Riegler, Gernot and Liao, Yiyi and Donne, Simon and Koltun, Vladlen and Geiger, Andreas},
title = {Connecting the Dots: Learning Representations for Active Monocular Depth Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Non-Volumetric Depth Fusion Using Successive Reprojections-
[pdf]
[bibtex]@InProceedings{Donne_2019_CVPR,
author = {Donne, Simon and Geiger, Andreas},
title = {Learning Non-Volumetric Depth Fusion Using Successive Reprojections},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Stereo R-CNN Based 3D Object Detection for Autonomous Driving-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Peiliang and Chen, Xiaozhi and Shen, Shaojie},
title = {Stereo R-CNN Based 3D Object Detection for Autonomous Driving},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hybrid Scene Compression for Visual Localization-
[pdf]
[bibtex]@InProceedings{Camposeco_2019_CVPR,
author = {Camposeco, Federico and Cohen, Andrea and Pollefeys, Marc and Sattler, Torsten},
title = {Hybrid Scene Compression for Visual Localization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction-
[pdf]
[bibtex]@InProceedings{Yi_2019_CVPR,
author = {Yi, Hongwei and Li, Chen and Cao, Qiong and Shen, Xiaoyong and Li, Sheng and Wang, Guoping and Tai, Yu-Wing},
title = {MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis-
[pdf]
[bibtex]@InProceedings{Qi_2019_CVPR,
author = {Qi, Xiaojuan and Liu, Zhengzhe and Chen, Qifeng and Jia, Jiaya},
title = {3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single Image Depth Estimation Trained via Depth From Defocus Cues-
[pdf]
[bibtex]@InProceedings{Gur_2019_CVPR,
author = {Gur, Shir and Wolf, Lior},
title = {Single Image Depth Estimation Trained via Depth From Defocus Cues},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Jie and Liu, Yu and Gong, Dong and Shi, Qinfeng and Yuan, Xia and Zhao, Chunxia and Reid, Ian},
title = {RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Scene Decomposition for Multi-Person Motion Capture-
[pdf]
[bibtex]@InProceedings{Rhodin_2019_CVPR,
author = {Rhodin, Helge and Constantin, Victor and Katircioglu, Isinsu and Salzmann, Mathieu and Fua, Pascal},
title = {Neural Scene Decomposition for Multi-Person Motion Capture},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition-
[pdf]
[bibtex]@InProceedings{Dong_2019_CVPR,
author = {Dong, Yinpeng and Su, Hang and Wu, Baoyuan and Li, Zhifeng and Liu, Wei and Zhang, Tong and Zhu, Jun},
title = {Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FA-RPN: Floating Region Proposals for Face Detection-
[pdf]
[bibtex]@InProceedings{Najibi_2019_CVPR,
author = {Najibi, Mahyar and Singh, Bharat and Davis, Larry S.},
title = {FA-RPN: Floating Region Proposals for Face Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Bayesian Hierarchical Dynamic Model for Human Action Recognition-
[pdf]
[bibtex]@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Rui and Xu, Wanru and Su, Hui and Ji, Qiang},
title = {Bayesian Hierarchical Dynamic Model for Human Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation-
[pdf]
[bibtex]@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Yunyang and Kim, Hyunwoo J. and Singh, Vikas},
title = {Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training-
[pdf]
[bibtex]@InProceedings{Pavllo_2019_CVPR,
author = {Pavllo, Dario and Feichtenhofer, Christoph and Grangier, David and Auli, Michael},
title = {3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision-
[pdf]
[bibtex]@InProceedings{Sanyal_2019_CVPR,
author = {Sanyal, Soubhik and Bolkart, Timo and Feng, Haiwen and Black, Michael J.},
title = {Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PoseFix: Model-Agnostic General Human Pose Refinement Network-
[pdf]
[bibtex]@InProceedings{Moon_2019_CVPR,
author = {Moon, Gyeongsik and Yong Chang, Ju and Mu Lee, Kyoung},
title = {PoseFix: Model-Agnostic General Human Pose Refinement Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Wandt_2019_CVPR,
author = {Wandt, Bastian and Rosenhahn, Bodo},
title = {RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views-
[pdf]
[bibtex]@InProceedings{Dong_2019_CVPR,
author = {Dong, Junting and Jiang, Wen and Huang, Qixing and Bao, Hujun and Zhou, Xiaowei},
title = {Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Face-Focused Cross-Stream Network for Deception Detection in Videos-
[pdf]
[bibtex]@InProceedings{Ding_2019_CVPR,
author = {Ding, Mingyu and Zhao, An and Lu, Zhiwu and Xiang, Tao and Wen, Ji-Rong},
title = {Face-Focused Cross-Stream Network for Deception Detection in Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data-
[pdf]
[bibtex]@InProceedings{Zhong_2019_CVPR,
author = {Zhong, Yaoyao and Deng, Weihong and Wang, Mei and Hu, Jiani and Peng, Jianteng and Tao, Xunqiang and Huang, Yaohai},
title = {Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor-
[pdf]
[bibtex]@InProceedings{Kossaifi_2019_CVPR,
author = {Kossaifi, Jean and Bulat, Adrian and Tzimiropoulos, Georgios and Pantic, Maja},
title = {T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Lele and Maddox, Ross K. and Duan, Zhiyao and Xu, Chenliang},
title = {Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video-
[pdf]
[bibtex]@InProceedings{Ionescu_2019_CVPR,
author = {Tudor Ionescu, Radu and Shahbaz Khan, Fahad and Georgescu, Mariana-Iuliana and Shao, Ling},
title = {Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition-
[pdf]
[bibtex]@InProceedings{Perrett_2019_CVPR,
author = {Perrett, Toby and Damen, Dima},
title = {DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos-
[pdf]
[bibtex]@InProceedings{Doughty_2019_CVPR,
author = {Doughty, Hazel and Mayol-Cuevas, Walterio and Damen, Dima},
title = {The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Collaborative Spatiotemporal Feature Learning for Video Action Recognition-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Chao and Zhong, Qiaoyong and Xie, Di and Pu, Shiliang},
title = {Collaborative Spatiotemporal Feature Learning for Video Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MARS: Motion-Augmented RGB Stream for Action Recognition-
[pdf]
[bibtex]@InProceedings{Crasto_2019_CVPR,
author = {Crasto, Nieves and Weinzaepfel, Philippe and Alahari, Karteek and Schmid, Cordelia},
title = {MARS: Motion-Augmented RGB Stream for Action Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Convolutional Relational Machine for Group Activity Recognition-
[pdf]
[bibtex]@InProceedings{Azar_2019_CVPR,
author = {Mokhtarzadeh Azar, Sina and Ghadimi Atigh, Mina and Nickabadi, Ahmad and Alahi, Alexandre},
title = {Convolutional Relational Machine for Group Activity Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Video Summarization by Learning From Unpaired Data-
[pdf]
[bibtex]@InProceedings{Rochan_2019_CVPR,
author = {Rochan, Mrigank and Wang, Yang},
title = {Video Summarization by Learning From Unpaired Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Skeleton-Based Action Recognition With Directed Graph Neural Networks-
[pdf]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Lei and Zhang, Yifan and Cheng, Jian and Lu, Hanqing},
title = {Skeleton-Based Action Recognition With Directed Graph Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PA3D: Pose-Action 3D Machine for Video Recognition-
[pdf]
[bibtex]@InProceedings{Yan_2019_CVPR,
author = {Yan, An and Wang, Yali and Li, Zhifeng and Qiao, Yu},
title = {PA3D: Pose-Action 3D Machine for Video Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Dual Relation Modeling for Egocentric Interaction Recognition-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Haoxin and Cai, Yijun and Zheng, Wei-Shi},
title = {Deep Dual Relation Modeling for Egocentric Interaction Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MOTS: Multi-Object Tracking and Segmentation-
[pdf]
[bibtex]@InProceedings{Voigtlaender_2019_CVPR,
author = {Voigtlaender, Paul and Krause, Michael and Osep, Aljosa and Luiten, Jonathon and Balachandar Gnana Sekar, Berin and Geiger, Andreas and Leibe, Bastian},
title = {MOTS: Multi-Object Tracking and Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking-
[pdf]
[bibtex]@InProceedings{Fan_2019_CVPR,
author = {Fan, Heng and Ling, Haibin},
title = {Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds-
[pdf]
[bibtex]@InProceedings{Behl_2019_CVPR,
author = {Behl, Aseem and Paschalidou, Despoina and Donne, Simon and Geiger, Andreas},
title = {PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Listen to the Image-
[pdf]
[bibtex]@InProceedings{Hu_2019_CVPR,
author = {Hu, Di and Wang, Dong and Li, Xuelong and Nie, Feiping and Wang, Qi},
title = {Listen to the Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image Super-Resolution by Neural Texture Transfer-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Zhifei and Wang, Zhaowen and Lin, Zhe and Qi, Hairong},
title = {Image Super-Resolution by Neural Texture Transfer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Conditional Adversarial Generative Flow for Controllable Image Synthesis-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Rui and Liu, Yu and Gong, Xinyu and Wang, Xiaogang and Li, Hongsheng},
title = {Conditional Adversarial Generative Flow for Controllable Image Synthesis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model-
[pdf]
[bibtex]@InProceedings{Papadopoulos_2019_CVPR,
author = {Papadopoulos, Dim P. and Tamaazousti, Youssef and Ofli, Ferda and Weber, Ingmar and Torralba, Antonio},
title = {How to Make a Pizza: Learning a Compositional Layer-Based GAN Model},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation-
[pdf]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Wayne and Cao, Kaidi and Li, Cheng and Qian, Chen and Change Loy, Chen},
title = {TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Depth-Attentional Features for Single-Image Rain Removal-
[pdf]
[bibtex]@InProceedings{Hu_2019_CVPR,
author = {Hu, Xiaowei and Fu, Chi-Wing and Zhu, Lei and Heng, Pheng-Ann},
title = {Depth-Attentional Features for Single-Image Rain Removal},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Lizhi and Sun, Chen and Fu, Ying and Kim, Min H. and Huang, Hua},
title = {Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LiFF: Light Field Features in Scale and Depth-
[pdf]
[bibtex]@InProceedings{Dansereau_2019_CVPR,
author = {Dansereau, Donald G. and Girod, Bernd and Wetzstein, Gordon},
title = {LiFF: Light Field Features in Scale and Depth},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Exemplar-Based Video Colorization-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Bo and He, Mingming and Liao, Jing and Sander, Pedro V. and Yuan, Lu and Bermak, Amine and Chen, Dong},
title = {Deep Exemplar-Based Video Colorization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
On Finding Gray Pixels-
[pdf]
[bibtex]@InProceedings{Qian_2019_CVPR,
author = {Qian, Yanlin and Kamarainen, Joni-Kristian and Nikkanen, Jarno and Matas, Jiri},
title = {On Finding Gray Pixels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yang and Wang, Peng and Yang, Zhenheng and Luo, Chenxu and Yang, Yi and Xu, Wei},
title = {UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Transformation Synchronization-
[pdf]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, Xiangru and Liang, Zhenxiao and Zhou, Xiaowei and Xie, Yao and Guibas, Leonidas J. and Huang, Qixing},
title = {Learning Transformation Synchronization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features-
[pdf]
[bibtex]@InProceedings{Dusmanu_2019_CVPR,
author = {Dusmanu, Mihai and Rocco, Ignacio and Pajdla, Tomas and Pollefeys, Marc and Sivic, Josef and Torii, Akihiko and Sattler, Torsten},
title = {D2-Net: A Trainable CNN for Joint Description and Detection of Local Features},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring-
[pdf]
[bibtex]@InProceedings{Nah_2019_CVPR,
author = {Nah, Seungjun and Son, Sanghyun and Mu Lee, Kyoung},
title = {Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Extract Flawless Slow Motion From Blurry Videos-
[pdf]
[bibtex]@InProceedings{Jin_2019_CVPR,
author = {Jin, Meiguang and Hu, Zhe and Favaro, Paolo},
title = {Learning to Extract Flawless Slow Motion From Blurry Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination-
[pdf]
[bibtex]@InProceedings{Soh_2019_CVPR,
author = {Woong Soh, Jae and Yong Park, Gu and Jo, Junho and Ik Cho, Nam},
title = {Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
RF-Net: An End-To-End Image Matching Network Based on Receptive Field-
[pdf]
[bibtex]@InProceedings{Shen_2019_CVPR,
author = {Shen, Xuelun and Wang, Cheng and Li, Xin and Yu, Zenglei and Li, Jonathan and Wen, Chenglu and Cheng, Ming and He, Zijian},
title = {RF-Net: An End-To-End Image Matching Network Based on Receptive Field},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Single Image Reflection Suppression via Convex Optimization-
[pdf]
[bibtex]@InProceedings{Yang_2019_CVPR,
author = {Yang, Yang and Ma, Wenye and Zheng, Yin and Cai, Jian-Feng and Xu, Weiyu},
title = {Fast Single Image Reflection Suppression via Convex Optimization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision-
[pdf]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Runmin and Feng, Mengyang and Guan, Wenlong and Wang, Dong and Lu, Huchuan and Ding, Errui},
title = {A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Enhanced Pix2pix Dehazing Network-
[pdf]
[bibtex]@InProceedings{Qu_2019_CVPR,
author = {Qu, Yanyun and Chen, Yizi and Huang, Jingying and Xie, Yuan},
title = {Enhanced Pix2pix Dehazing Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering-
[pdf]
[bibtex]@InProceedings{Korhonen_2019_CVPR,
author = {Korhonen, Jari},
title = {Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements-
[pdf]
[bibtex]@InProceedings{Wei_2019_CVPR,
author = {Wei, Kaixuan and Yang, Jiaolong and Fu, Ying and Wipf, David and Huang, Hua},
title = {Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenbin and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Exploring Context and Visual Pattern of Relationship for Scene Graph Generation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning From Synthetic Data for Crowd Counting in the Wild-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Qi and Gao, Junyu and Lin, Wei and Yuan, Yuan},
title = {Learning From Synthetic Data for Crowd Counting in the Wild},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Local Block Coordinate Descent Algorithm for the CSC Model-
[pdf]
[bibtex]@InProceedings{Zisselman_2019_CVPR,
author = {Zisselman, Ev and Sulam, Jeremias and Elad, Michael},
title = {A Local Block Coordinate Descent Algorithm for the CSC Model},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation-
[pdf]
[bibtex]@InProceedings{Shetty_2019_CVPR,
author = {Shetty, Rakshith and Schiele, Bernt and Fritz, Mario},
title = {Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Discovering Fair Representations in the Data Domain-
[pdf]
[bibtex]@InProceedings{Quadrianto_2019_CVPR,
author = {Quadrianto, Novi and Sharmanska, Viktoriia and Thomas, Oliver},
title = {Discovering Fair Representations in the Data Domain},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Actor-Critic Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Araslanov_2019_CVPR,
author = {Araslanov, Nikita and Rothkopf, Constantin A. and Roth, Stefan},
title = {Actor-Critic Instance Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders-
[pdf]
[bibtex]@InProceedings{Schonfeld_2019_CVPR,
author = {Schonfeld, Edgar and Ebrahimi, Sayna and Sinha, Samarth and Darrell, Trevor and Akata, Zeynep},
title = {Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Xian_2019_CVPR,
author = {Xian, Yongqin and Choudhury, Subhabrata and He, Yang and Schiele, Bernt and Akata, Zeynep},
title = {Semantic Projection Network for Zero- and Few-Label Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Ma_2019_CVPR,
author = {Ma, Xinhong and Zhang, Tianzhu and Xu, Changsheng},
title = {GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Seamless Scene Segmentation-
[pdf]
[bibtex]@InProceedings{Porzi_2019_CVPR,
author = {Porzi, Lorenzo and Rota Bulo, Samuel and Colovic, Aleksander and Kontschieder, Peter},
title = {Seamless Scene Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Image Matching and Object Discovery as Optimization-
[pdf]
[bibtex]@InProceedings{Vo_2019_CVPR,
author = {Vo, Huy V. and Bach, Francis and Cho, Minsu and Han, Kai and LeCun, Yann and Perez, Patrick and Ponce, Jean},
title = {Unsupervised Image Matching and Object Discovery as Optimization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Qi and Chan, Antoni B.},
title = {Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions-
[pdf]
[bibtex]@InProceedings{Cornia_2019_CVPR,
author = {Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita},
title = {Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Towards VQA Models That Can Read-
[pdf]
[bibtex]@InProceedings{Singh_2019_CVPR,
author = {Singh, Amanpreet and Natarajan, Vivek and Shah, Meet and Jiang, Yu and Chen, Xinlei and Batra, Dhruv and Parikh, Devi and Rohrbach, Marcus},
title = {Towards VQA Models That Can Read},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Junchao and Peng, Yuxin},
title = {Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Progressive Attention Memory Network for Movie Story Question Answering-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Junyeong and Ma, Minuk and Kim, Kyungsu and Kim, Sungjin and Yoo, Chang D.},
title = {Progressive Attention Memory Network for Movie Story Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Memory-Attended Recurrent Network for Video Captioning-
[pdf]
[bibtex]@InProceedings{Pei_2019_CVPR,
author = {Pei, Wenjie and Zhang, Jiyuan and Wang, Xiangrong and Ke, Lei and Shen, Xiaoyong and Tai, Yu-Wing},
title = {Memory-Attended Recurrent Network for Video Captioning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning-
[pdf]
[bibtex]@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Peixi and Zhan, Huayi and Wang, Xin and Sinha, Baivab and Wu, Ying},
title = {Visual Query Answering by Entity-Attribute Graph Matching and Reasoning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Look Back and Predict Forward in Image Captioning-
[pdf]
[bibtex]@InProceedings{Qin_2019_CVPR,
author = {Qin, Yu and Du, Jiajun and Zhang, Yonghua and Lu, Hongtao},
title = {Look Back and Predict Forward in Image Captioning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explainable and Explicit Visual Reasoning Over Scene Graphs-
[pdf]
[bibtex]@InProceedings{Shi_2019_CVPR,
author = {Shi, Jiaxin and Zhang, Hanwang and Li, Juanzi},
title = {Explainable and Explicit Visual Reasoning Over Scene Graphs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Noh_2019_CVPR,
author = {Noh, Hyeonwoo and Kim, Taehoon and Mun, Jonghwan and Han, Bohyung},
title = {Transfer Learning via Unsupervised Task Discovery for Visual Question Answering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Intention Oriented Image Captions With Guiding Objects-
[pdf]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Yue and Li, Yali and Wang, Shengjin},
title = {Intention Oriented Image Captions With Guiding Objects},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining-
[pdf]
[bibtex]@InProceedings{Yasarla_2019_CVPR,
author = {Yasarla, Rajeev and Patel, Vishal M.},
title = {Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Toward Realistic Image Compositing With Adversarial Learning-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Bor-Chun and Kae, Andrew},
title = {Toward Realistic Image Compositing With Adversarial Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics-
[pdf]
[bibtex]@InProceedings{Meirovitch_2019_CVPR,
author = {Meirovitch, Yaron and Mi, Lu and Saribekyan, Hayk and Matveev, Alexander and Rolnick, David and Shavit, Nir},
title = {Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep ChArUco: Dark ChArUco Marker Pose Estimation-
[pdf]
[bibtex]@InProceedings{Hu_2019_CVPR,
author = {Hu, Danying and DeTone, Daniel and Malisiewicz, Tomasz},
title = {Deep ChArUco: Dark ChArUco Marker Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yan and Chao, Wei-Lun and Garg, Divyansh and Hariharan, Bharath and Campbell, Mark and Weinberger, Kilian Q.},
title = {Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions-
[pdf]
[bibtex]@InProceedings{Hong_2019_CVPR,
author = {Hong, Joey and Sapp, Benjamin and Philbin, James},
title = {Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Metric Learning for Image Registration-
[pdf]
[bibtex]@InProceedings{Niethammer_2019_CVPR,
author = {Niethammer, Marc and Kwitt, Roland and Vialard, Francois-Xavier},
title = {Metric Learning for Image Registration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
LO-Net: Deep Real-Time Lidar Odometry-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Qing and Chen, Shaoyang and Wang, Cheng and Li, Xin and Wen, Chenglu and Cheng, Ming and Li, Jonathan},
title = {LO-Net: Deep Real-Time Lidar Odometry},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions-
[pdf]
[bibtex]@InProceedings{Chandra_2019_CVPR,
author = {Chandra, Rohan and Bhattacharya, Uttaran and Bera, Aniket and Manocha, Dinesh},
title = {TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
World From Blur-
[pdf]
[bibtex]@InProceedings{Qiu_2019_CVPR,
author = {Qiu, Jiayan and Wang, Xinchao and Maybank, Stephen J. and Tao, Dacheng},
title = {World From Blur},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering-
[pdf]
[bibtex]@InProceedings{Xie_2019_CVPR,
author = {Xie, Jianyang and Zhao, Yitian and Liu, Yonghuai and Su, Pan and Zhao, Yifan and Cheng, Jun and Zheng, Yalin and Liu, Jiang},
title = {Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training-
[pdf]
[bibtex]@InProceedings{Zheng_2019_CVPR,
author = {Zheng, Feng and Deng, Cheng and Sun, Xing and Jiang, Xinyang and Guo, Xiaowei and Yu, Zongqiao and Huang, Feiyue and Ji, Rongrong},
title = {Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology-
[pdf]
[bibtex]@InProceedings{Yan_2019_CVPR,
author = {Yan, Ke and Peng, Yifan and Sandfort, Veit and Bagheri, Mohammadhadi and Lu, Zhiyong and Summers, Ronald M.},
title = {Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robust Histopathology Image Analysis: To Label or to Synthesize?-
[pdf]
[bibtex]@InProceedings{Hou_2019_CVPR,
author = {Hou, Le and Agarwal, Ayush and Samaras, Dimitris and Kurc, Tahsin M. and Gupta, Rajarsi R. and Saltz, Joel H.},
title = {Robust Histopathology Image Analysis: To Label or to Synthesize?},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation-
[pdf]
[bibtex]@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Amy and Balakrishnan, Guha and Durand, Fredo and Guttag, John V. and Dalca, Adrian V.},
title = {Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shifting More Attention to Video Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Fan_2019_CVPR,
author = {Fan, Deng-Ping and Wang, Wenguan and Cheng, Ming-Ming and Shen, Jianbing},
title = {Shifting More Attention to Video Salient Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration-
[pdf]
[bibtex]@InProceedings{Huang_2019_CVPR,
author = {Huang, De-An and Nair, Suraj and Xu, Danfei and Zhu, Yuke and Garg, Animesh and Fei-Fei, Li and Savarese, Silvio and Carlos Niebles, Juan},
title = {Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry-
[pdf]
[bibtex]@InProceedings{Xue_2019_CVPR,
author = {Xue, Fei and Wang, Xin and Li, Shunkai and Wang, Qiuyuan and Wang, Junqiu and Zha, Hongbin},
title = {Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image Generation From Layout-
[pdf]
[bibtex]@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Bo and Meng, Lili and Yin, Weidong and Sigal, Leonid},
title = {Image Generation From Layout},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multimodal Explanations by Predicting Counterfactuality in Videos-
[pdf]
[bibtex]@InProceedings{Kanehira_2019_CVPR,
author = {Kanehira, Atsushi and Takemoto, Kentaro and Inayoshi, Sho and Harada, Tatsuya},
title = {Multimodal Explanations by Predicting Counterfactuality in Videos},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning to Explain With Complemental Examples-
[pdf]
[bibtex]@InProceedings{Kanehira_2019_CVPR,
author = {Kanehira, Atsushi and Harada, Tatsuya},
title = {Learning to Explain With Complemental Examples},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
HAQ: Hardware-Aware Automated Quantization With Mixed Precision-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Kuan and Liu, Zhijian and Lin, Yujun and Lin, Ji and Han, Song},
title = {HAQ: Hardware-Aware Automated Quantization With Mixed Precision},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels-
[pdf]
[bibtex]@InProceedings{Korus_2019_CVPR,
author = {Korus, Pawel and Memon, Nasir},
title = {Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Inverse Procedural Modeling of Knitwear-
[pdf]
[bibtex]@InProceedings{Trunz_2019_CVPR,
author = {Trunz, Elena and Merzbach, Sebastian and Klein, Jonathan and Schulze, Thomas and Weinmann, Michael and Klein, Reinhard},
title = {Inverse Procedural Modeling of Knitwear},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Zongmian and Sedlar, Jiri and Carpentier, Justin and Laptev, Ivan and Mansard, Nicolas and Sivic, Josef},
title = {Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds-
[pdf]
[bibtex]@InProceedings{Ding_2019_CVPR,
author = {Ding, Li and Feng, Chen},
title = {DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
End-To-End Interpretable Neural Motion Planner-
[pdf]
[bibtex]@InProceedings{Zeng_2019_CVPR,
author = {Zeng, Wenyuan and Luo, Wenjie and Suo, Simon and Sadat, Abbas and Yang, Bin and Casas, Sergio and Urtasun, Raquel},
title = {End-To-End Interpretable Neural Motion Planner},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model-
[pdf]
[bibtex]@InProceedings{Han_2019_CVPR,
author = {Han, Tian and Nijkamp, Erik and Fang, Xiaolin and Hill, Mitch and Zhu, Song-Chun and Nian Wu, Ying},
title = {Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Image Deformation Meta-Networks for One-Shot Learning-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Zitian and Fu, Yanwei and Wang, Yu-Xiong and Ma, Lin and Liu, Wei and Hebert, Martial},
title = {Image Deformation Meta-Networks for One-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Online High Rank Matrix Completion-
[pdf]
[bibtex]@InProceedings{Fan_2019_CVPR,
author = {Fan, Jicong and Udell, Madeleine},
title = {Online High Rank Matrix Completion},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds-
[pdf]
[bibtex]@InProceedings{Zhi_2019_CVPR,
author = {Zhi, Tiancheng and Pires, Bernardo R. and Hebert, Martial and Narasimhan, Srinivasa G.},
title = {Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging-
[pdf]
[bibtex]@InProceedings{Brahmbhatt_2019_CVPR,
author = {Brahmbhatt, Samarth and Ham, Cusuh and Kemp, Charles C. and Hays, James},
title = {ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Yuanman and Zhou, Jiantao and Zheng, Xianwei and Tian, Jinyu and Yan Tang, Yuan},
title = {Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
What Correspondences Reveal About Unknown Camera and Motion Models?-
[pdf]
[bibtex]@InProceedings{Probst_2019_CVPR,
author = {Probst, Thomas and Chhatkuli, Ajad and Pani Paudel, Danda and Van Gool, Luc},
title = {What Correspondences Reveal About Unknown Camera and Motion Models?},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Self-Calibrating Deep Photometric Stereo Networks-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Guanying and Han, Kai and Shi, Boxin and Matsushita, Yasuyuki and Wong, Kwan-Yee K.},
title = {Self-Calibrating Deep Photometric Stereo Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Argoverse: 3D Tracking and Forecasting With Rich Maps-
[pdf]
[bibtex]@InProceedings{Chang_2019_CVPR,
author = {Chang, Ming-Fang and Lambert, John and Sangkloy, Patsorn and Singh, Jagjeet and Bak, Slawomir and Hartnett, Andrew and Wang, De and Carr, Peter and Lucey, Simon and Ramanan, Deva and Hays, James},
title = {Argoverse: 3D Tracking and Forecasting With Rich Maps},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Side Window Filtering-
[pdf]
[bibtex]@InProceedings{Yin_2019_CVPR,
author = {Yin, Hui and Gong, Yuanhao and Qiu, Guoping},
title = {Side Window Filtering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search-
[pdf]
[bibtex]@InProceedings{Dubey_2019_CVPR,
author = {Dubey, Abhimanyu and van der Maaten, Laurens and Yalniz, Zeki and Li, Yixuan and Mahajan, Dhruv},
title = {Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Incremental Object Learning From Contiguous Views-
[pdf]
[bibtex]@InProceedings{Stojanov_2019_CVPR,
author = {Stojanov, Stefan and Mishra, Samarth and Anh Thai, Ngoc and Dhanda, Nikhil and Humayun, Ahmad and Yu, Chen and Smith, Linda B. and Rehg, James M.},
title = {Incremental Object Learning From Contiguous Views},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition-
[pdf]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Xiaoping and Zhan, Chi and Lai, Yu-Kun and Cheng, Ming-Ming and Yang, Jufeng},
title = {IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification-
[pdf]
[bibtex]@InProceedings{Tang_2019_CVPR,
author = {Tang, Zheng and Naphade, Milind and Liu, Ming-Yu and Yang, Xiaodong and Birchfield, Stan and Wang, Shuo and Kumar, Ratnesh and Anastasiu, David and Hwang, Jenq-Neng},
title = {CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence-
[pdf]
[bibtex]@InProceedings{Zadeh_2019_CVPR,
author = {Zadeh, Amir and Chan, Michael and Pu Liang, Paul and Tong, Edmund and Morency, Louis-Philippe},
title = {Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
UPSNet: A Unified Panoptic Segmentation Network-
[pdf]
[bibtex]@InProceedings{Xiong_2019_CVPR,
author = {Xiong, Yuwen and Liao, Renjie and Zhao, Hengshuang and Hu, Rui and Bai, Min and Yumer, Ersin and Urtasun, Raquel},
title = {UPSNet: A Unified Panoptic Segmentation Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields-
[pdf]
[bibtex]@InProceedings{Pham_2019_CVPR,
author = {Pham, Quang-Hieu and Nguyen, Thanh and Hua, Binh-Son and Roig, Gemma and Yeung, Sai-Kit},
title = {JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth-
[pdf]
[bibtex]@InProceedings{Neven_2019_CVPR,
author = {Neven, Davy and De Brabandere, Bert and Proesmans, Marc and Van Gool, Luc},
title = {Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection-
[pdf]
[bibtex]@InProceedings{Hsu_2019_CVPR,
author = {Hsu, Kuang-Jui and Lin, Yen-Yu and Chuang, Yung-Yu},
title = {DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Improving Semantic Segmentation via Video Propagation and Label Relaxation-
[pdf]
[bibtex]@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Yi and Sapra, Karan and Reda, Fitsum A. and Shih, Kevin J. and Newsam, Shawn and Tao, Andrew and Catanzaro, Bryan},
title = {Improving Semantic Segmentation via Video Propagation and Label Relaxation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video-
[pdf]
[bibtex]@InProceedings{Jain_2019_CVPR,
author = {Jain, Samvit and Wang, Xin and Gonzalez, Joseph E.},
title = {Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xiaogang and Zhou, Bin and Shi, Yahao and Chen, Xiaowu and Zhao, Qinping and Xu, Kai},
title = {Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Semantic Correlation Promoted Shape-Variant Context for Segmentation-
[pdf]
[bibtex]@InProceedings{Ding_2019_CVPR,
author = {Ding, Henghui and Jiang, Xudong and Shuai, Bing and Qun Liu, Ai and Wang, Gang},
title = {Semantic Correlation Promoted Shape-Variant Context for Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Relation-Shape Convolutional Neural Network for Point Cloud Analysis-
[pdf]
[bibtex]@InProceedings{Liu_2019_CVPR,
author = {Liu, Yongcheng and Fan, Bin and Xiang, Shiming and Pan, Chunhong},
title = {Relation-Shape Convolutional Neural Network for Point Cloud Analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network-
[pdf]
[bibtex]@InProceedings{Zhao_2019_CVPR,
author = {Zhao, Wenda and Zheng, Bowen and Lin, Qiuhua and Lu, Huchuan},
title = {Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames-
[pdf]
[bibtex]@InProceedings{Griffin_2019_CVPR,
author = {Griffin, Brent A. and Corso, Jason J.},
title = {BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Wuyang and Jiang, Ziyu and Wang, Zhangyang and Cui, Kexin and Qian, Xiaoning},
title = {Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Efficient Parameter-Free Clustering Using First Neighbor Relations-
[pdf]
[bibtex]@InProceedings{Sarfraz_2019_CVPR,
author = {Sarfraz, Saquib and Sharma, Vivek and Stiefelhagen, Rainer},
title = {Efficient Parameter-Free Clustering Using First Neighbor Relations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Personalized Modular Network Guided by Structured Knowledge-
[pdf]
[bibtex]@InProceedings{Liang_2019_CVPR,
author = {Liang, Xiaodan},
title = {Learning Personalized Modular Network Guided by Structured Knowledge},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Generative Appearance Model for End-To-End Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Johnander_2019_CVPR,
author = {Johnander, Joakim and Danelljan, Martin and Brissman, Emil and Shahbaz Khan, Fahad and Felsberg, Michael},
title = {A Generative Appearance Model for End-To-End Video Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
A Flexible Convolutional Solver for Fast Style Transfers-
[pdf]
[bibtex]@InProceedings{Puy_2019_CVPR,
author = {Puy, Gilles and Perez, Patrick},
title = {A Flexible Convolutional Solver for Fast Style Transfers},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Cross Domain Model Compression by Structurally Weight Sharing-
[pdf]
[bibtex]@InProceedings{Gao_2019_CVPR,
author = {Gao, Shangqian and Deng, Cheng and Huang, Heng},
title = {Cross Domain Model Compression by Structurally Weight Sharing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning-
[pdf]
[bibtex]@InProceedings{Amodio_2019_CVPR,
author = {Amodio, Matthew and Krishnaswamy, Smita},
title = {TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Robust Subjective Visual Property Prediction in Crowdsourcing-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Qianqian and Yang, Zhiyong and Jiang, Yangbangyan and Cao, Xiaochun and Huang, Qingming and Yao, Yuan},
title = {Deep Robust Subjective Visual Property Prediction in Crowdsourcing},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Transferable AutoML by Model Sharing Over Grouped Datasets-
[pdf]
[bibtex]@InProceedings{Xue_2019_CVPR,
author = {Xue, Chao and Yan, Junchi and Yan, Rong and Chu, Stephen M. and Hu, Yonggang and Lin, Yonghua},
title = {Transferable AutoML by Model Sharing Over Grouped Datasets},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Not to Learn: Training Deep Neural Networks With Biased Data-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Byungju and Kim, Hyunwoo and Kim, Kyungsu and Kim, Sungjin and Kim, Junmo},
title = {Learning Not to Learn: Training Deep Neural Networks With Biased Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
IRLAS: Inverse Reinforcement Learning for Architecture Search-
[pdf]
[bibtex]@InProceedings{Guo_2019_CVPR,
author = {Guo, Minghao and Zhong, Zhao and Wu, Wei and Lin, Dahua and Yan, Junjie},
title = {IRLAS: Inverse Reinforcement Learning for Architecture Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences-
[pdf]
[bibtex]@InProceedings{Seo_2019_CVPR,
author = {Seo, Seonguk and Hongsuck Seo, Paul and Han, Bohyung},
title = {Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions-
[pdf]
[bibtex]@InProceedings{Suganuma_2019_CVPR,
author = {Suganuma, Masanori and Liu, Xing and Okatani, Takayuki},
title = {Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Xijun and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Fully Learnable Group Convolution for Acceleration of Deep Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch-
[pdf]
[bibtex]@InProceedings{Ren_2019_CVPR,
author = {Ren, Jian and Li, Zhe and Yang, Jianchao and Xu, Ning and Yang, Tianbao and Foran, David J.},
title = {EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Incremental Hashing Network for Efficient Image Retrieval-
[pdf]
[bibtex]@InProceedings{Wu_2019_CVPR,
author = {Wu, Dayan and Dai, Qi and Liu, Jing and Li, Bo and Wang, Weiping},
title = {Deep Incremental Hashing Network for Efficient Image Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Robustness via Curvature Regularization, and Vice Versa-
[pdf]
[bibtex]@InProceedings{Moosavi-Dezfooli_2019_CVPR,
author = {Moosavi-Dezfooli, Seyed-Mohsen and Fawzi, Alhussein and Uesato, Jonathan and Frossard, Pascal},
title = {Robustness via Curvature Regularization, and Vice Versa},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SparseFool: A Few Pixels Make a Big Difference-
[pdf]
[bibtex]@InProceedings{Modas_2019_CVPR,
author = {Modas, Apostolos and Moosavi-Dezfooli, Seyed-Mohsen and Frossard, Pascal},
title = {SparseFool: A Few Pixels Make a Big Difference},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Wagner_2019_CVPR,
author = {Wagner, Jorg and Mathias Kohler, Jan and Gindele, Tobias and Hetzel, Leon and Thaddaus Wiedemer, Jakob and Behnke, Sven},
title = {Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Structured Pruning of Neural Networks With Budget-Aware Regularization-
[pdf]
[bibtex]@InProceedings{Lemaire_2019_CVPR,
author = {Lemaire, Carl and Achkar, Andrew and Jodoin, Pierre-Marc},
title = {Structured Pruning of Neural Networks With Budget-Aware Regularization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MBS: Macroblock Scaling for CNN Model Reduction-
[pdf]
[bibtex]@InProceedings{Lin_2019_CVPR,
author = {Lin, Yu-Hsun and Chou, Chun-Nan and Chang, Edward Y.},
title = {MBS: Macroblock Scaling for CNN Model Reduction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells-
[pdf]
[bibtex]@InProceedings{Nekrasov_2019_CVPR,
author = {Nekrasov, Vladimir and Chen, Hao and Shen, Chunhua and Reid, Ian},
title = {Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Generating 3D Adversarial Point Clouds-
[pdf]
[bibtex]@InProceedings{Xiang_2019_CVPR,
author = {Xiang, Chong and Qi, Charles R. and Li, Bo},
title = {Generating 3D Adversarial Point Clouds},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search-
[pdf]
[bibtex]@InProceedings{Li_2019_CVPR,
author = {Li, Xin and Zhou, Yiming and Pan, Zheng and Feng, Jiashi},
title = {Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Yunbo and Zhang, Jianjin and Zhu, Hongyu and Long, Mingsheng and Wang, Jianmin and Yu, Philip S.},
title = {Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Information Distillation for Knowledge Transfer-
[pdf]
[bibtex]@InProceedings{Ahn_2019_CVPR,
author = {Ahn, Sungsoo and Xu Hu, Shell and Damianou, Andreas and Lawrence, Neil D. and Dai, Zhenwen},
title = {Variational Information Distillation for Knowledge Transfer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Zhourong and Li, Yang and Bengio, Samy and Si, Si},
title = {You Look Twice: GaterNet for Dynamic Filter Selection in CNNs},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images-
[pdf]
[bibtex]@InProceedings{Lee_2019_CVPR,
author = {Lee, Yeonkun and Jeong, Jaeseok and Yun, Jongseob and Cho, Wonjune and Yoon, Kuk-Jin},
title = {SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network-
[pdf]
[bibtex]@InProceedings{Mehta_2019_CVPR,
author = {Mehta, Sachin and Rastegari, Mohammad and Shapiro, Linda and Hajishirzi, Hannaneh},
title = {ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors-
[pdf]
[bibtex]@InProceedings{Derakhshani_2019_CVPR,
author = {Mahdi Derakhshani, Mohammad and Masoudnia, Saeed and Hossein Shaker, Amir and Mersa, Omid and Amin Sadeghi, Mohammad and Rastegari, Mohammad and Araabi, Babak N.},
title = {Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Exploiting Edge Features for Graph Neural Networks-
[pdf]
[bibtex]@InProceedings{Gong_2019_CVPR,
author = {Gong, Liyu and Cheng, Qiang},
title = {Exploiting Edge Features for Graph Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Propagation Mechanism for Deep and Wide Neural Networks-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Dejiang and Li Lee, Mong and Hsu, Wynne},
title = {Propagation Mechanism for Deep and Wide Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks-
[pdf]
[bibtex]@InProceedings{Ho_2019_CVPR,
author = {Ho, Chih-Hui and Leung, Brandon and Sandstrom, Erik and Chang, Yen and Vasconcelos, Nuno},
title = {Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Embedding Complementary Deep Networks for Image Classification-
[pdf]
[bibtex]@InProceedings{Chen_2019_CVPR,
author = {Chen, Qiuyu and Zhang, Wei and Yu, Jun and Fan, Jianping},
title = {Embedding Complementary Deep Networks for Image Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deep Multimodal Clustering for Unsupervised Audiovisual Learning-
[pdf]
[bibtex]@InProceedings{Hu_2019_CVPR,
author = {Hu, Di and Nie, Feiping and Li, Xuelong},
title = {Deep Multimodal Clustering for Unsupervised Audiovisual Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dense Classification and Implanting for Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Lifchitz_2019_CVPR,
author = {Lifchitz, Yann and Avrithis, Yannis and Picard, Sylvaine and Bursuc, Andrei},
title = {Dense Classification and Implanting for Few-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Class-Balanced Loss Based on Effective Number of Samples-
[pdf]
[bibtex]@InProceedings{Cui_2019_CVPR,
author = {Cui, Yin and Jia, Menglin and Lin, Tsung-Yi and Song, Yang and Belongie, Serge},
title = {Class-Balanced Loss Based on Effective Number of Samples},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning-
[pdf]
[bibtex]@InProceedings{Shen_2019_CVPR,
author = {Shen, Xi and Efros, Alexei A. and Aubry, Mathieu},
title = {Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Min-Max Statistical Alignment for Transfer Learning-
[pdf]
[bibtex]@InProceedings{Herath_2019_CVPR,
author = {Herath, Samitha and Harandi, Mehrtash and Fernando, Basura and Nock, Richard},
title = {Min-Max Statistical Alignment for Transfer Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Spatial-Aware Graph Relation Network for Large-Scale Object Detection-
[pdf]
[bibtex]@InProceedings{Xu_2019_CVPR,
author = {Xu, Hang and Jiang, Chenhan and Liang, Xiaodan and Li, Zhenguo},
title = {Spatial-Aware Graph Relation Network for Large-Scale Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Deformable ConvNets V2: More Deformable, Better Results-
[pdf]
[bibtex]@InProceedings{Zhu_2019_CVPR,
author = {Zhu, Xizhou and Hu, Han and Lin, Stephen and Dai, Jifeng},
title = {Deformable ConvNets V2: More Deformable, Better Results},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Interaction-And-Aggregation Network for Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Hou_2019_CVPR,
author = {Hou, Ruibing and Ma, Bingpeng and Chang, Hong and Gu, Xinqian and Shan, Shiguang and Chen, Xilin},
title = {Interaction-And-Aggregation Network for Person Re-Identification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Rare Event Detection Using Disentangled Representation Learning-
[pdf]
[bibtex]@InProceedings{Hamaguchi_2019_CVPR,
author = {Hamaguchi, Ryuhei and Sakurada, Ken and Nakamura, Ryosuke},
title = {Rare Event Detection Using Disentangled Representation Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Shape Robust Text Detection With Progressive Scale Expansion Network-
[pdf]
[bibtex]@InProceedings{Wang_2019_CVPR,
author = {Wang, Wenhai and Xie, Enze and Li, Xiang and Hou, Wenbo and Lu, Tong and Yu, Gang and Shao, Shuai},
title = {Shape Robust Text Detection With Progressive Scale Expansion Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dual Encoding for Zero-Example Video Retrieval-
[pdf]
[bibtex]@InProceedings{Dong_2019_CVPR,
author = {Dong, Jianfeng and Li, Xirong and Xu, Chaoxi and Ji, Shouling and He, Yuan and Yang, Gang and Wang, Xun},
title = {Dual Encoding for Zero-Example Video Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors-
[pdf]
[bibtex]@InProceedings{Cai_2019_CVPR,
author = {Cai, Lile and Zhao, Bin and Wang, Zhe and Lin, Jie and Sheng Foo, Chuan and Sabry Aly, Mohamed and Chandrasekhar, Vijay},
title = {MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Character Region Awareness for Text Detection-
[pdf]
[bibtex]@InProceedings{Baek_2019_CVPR,
author = {Baek, Youngmin and Lee, Bado and Han, Dongyoon and Yun, Sangdoo and Lee, Hwalsuk},
title = {Character Region Awareness for Text Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features-
[pdf]
[bibtex]@InProceedings{Hosu_2019_CVPR,
author = {Hosu, Vlad and Goldlucke, Bastian and Saupe, Dietmar},
title = {Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Attentive Region Embedding Network for Zero-Shot Learning-
[pdf]
[bibtex]@InProceedings{Xie_2019_CVPR,
author = {Xie, Guo-Sen and Liu, Li and Jin, Xiaobo and Zhu, Fan and Zhang, Zheng and Qin, Jie and Yao, Yazhou and Shao, Ling},
title = {Attentive Region Embedding Network for Zero-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explicit Spatial Encoding for Deep Local Descriptors-
[pdf]
[bibtex]@InProceedings{Mukundan_2019_CVPR,
author = {Mukundan, Arun and Tolias, Giorgos and Chum, Ondrej},
title = {Explicit Spatial Encoding for Deep Local Descriptors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Panoptic Segmentation-
[pdf]
[bibtex]@InProceedings{Kirillov_2019_CVPR,
author = {Kirillov, Alexander and He, Kaiming and Girshick, Ross and Rother, Carsten and Dollar, Piotr},
title = {Panoptic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection-
[pdf]
[bibtex]@InProceedings{Singh_2019_CVPR,
author = {Kumar Singh, Krishna and Jae Lee, Yong},
title = {You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Explore-Exploit Graph Traversal for Image Retrieval-
[pdf]
[bibtex]@InProceedings{Chang_2019_CVPR,
author = {Chang, Cheng and Yu, Guangwei and Liu, Chundi and Volkovs, Maksims},
title = {Explore-Exploit Graph Traversal for Image Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Dissimilarity Coefficient Based Weakly Supervised Object Detection-
[pdf]
[bibtex]@InProceedings{Arun_2019_CVPR,
author = {Arun, Aditya and Jawahar, C.V. and Pawan Kumar, M.},
title = {Dissimilarity Coefficient Based Weakly Supervised Object Detection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Kernel Transformer Networks for Compact Spherical Convolution-
[pdf]
[bibtex]@InProceedings{Su_2019_CVPR,
author = {Su, Yu-Chuan and Grauman, Kristen},
title = {Kernel Transformer Networks for Compact Spherical Convolution},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering-
[pdf]
[bibtex]@InProceedings{Zhang_2019_CVPR,
author = {Zhang, Chen and Kim, Joohee},
title = {Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images-
[pdf]
[bibtex]@InProceedings{Kim_2019_CVPR,
author = {Kim, Junsik and Oh, Tae-Hyun and Lee, Seokju and Pan, Fei and So Kweon, In},
title = {Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss-
[pdf]
[bibtex]@InProceedings{Roy_2019_CVPR,
author = {Roy, Subhankar and Siarohin, Aliaksandr and Sangineto, Enver and Rota Bulo, Samuel and Sebe, Nicu and Ricci, Elisa},
title = {Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Voigtlaender_2019_CVPR,
author = {Voigtlaender, Paul and Chai, Yuning and Schroff, Florian and Adam, Hartwig and Leibe, Bastian and Chen, Liang-Chieh},
title = {FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation-
[pdf]
[bibtex]@InProceedings{Yu_2019_CVPR,
author = {Yu, Fenggen and Liu, Kun and Zhang, Yan and Zhu, Chenyang and Xu, Kai},
title = {PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Learning Multi-Class Segmentations From Single-Class Datasets-
[pdf]
[bibtex]@InProceedings{Dmitriev_2019_CVPR,
author = {Dmitriev, Konstantin and Kaufman, Arie E.},
title = {Learning Multi-Class Segmentations From Single-Class Datasets},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2019}
}
Convolutional Recurrent Network for Road Boundary Extraction-
[pdf]
[bibtex]@InProceedings{Liang_2019_CVPR,