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ORCIDCVPR 2018: Salt Lake City, UT, USA
- 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. Computer Vision Foundation / IEEE Computer Society 2018
Papers
- Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra:
Embodied Question Answering. 1-10 - Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. 11-20 - Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem
:
Finding Tiny Faces in the Wild With Generative Adversarial Network. 21-30 - Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain:
Learning Face Age Progression: A Pyramid Architecture of GANs. 31-39 - Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein:
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. 40-48 - Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt:
GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB. 49-59 - Georg Poier, David Schinagl, Horst Bischof:
Learning Pose Specific Representations by Predicting Different Views. 60-69 - Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu:
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. 70-78 - Longhui Wei, Shiliang Zhang, Wen Gao, Qi Tian:
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification. 79-88 - Adrian Spurr, Jie Song, Seonwook Park, Otmar Hilliges:
Cross-Modal Deep Variational Hand Pose Estimation. 89-98 - Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. 99-108 - Adrian Bulat, Georgios Tzimiropoulos:
Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs. 109-117 - Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan:
Multistage Adversarial Losses for Pose-Based Human Image Synthesis. 118-126 - Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin:
Rotation Averaging and Strong Duality. 127-135 - Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler:
Hybrid Camera Pose Estimation. 136-144 - Jesus Briales, Laurent Kneip, Javier González Jiménez:
A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem. 145-154 - Yue Luo, Jimmy S. J. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin:
Single View Stereo Matching. 155-163 - Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers:
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading. 164-174 - Yinda Zhang, Thomas A. Funkhouser:
Deep Depth Completion of a Single RGB-D Image. 175-185 - Tan Yu, Jingjing Meng, Junsong Yuan:
Multi-View Harmonized Bilinear Network for 3D Object Recognition. 186-194 - Haowen Deng, Tolga Birdal, Slobodan Ilic:
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. 195-205 - Yaoqing Yang, Chen Feng, Yiru Shen, Dong Tian:
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation. 206-215 - Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
A Papier-Mâché Approach to Learning 3D Surface Generation. 216-224 - Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia:
LEGO: Learning Edge With Geometry All at Once by Watching Videos. 225-234 - Daniel Barath:
Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras. 235-243 - Danfei Xu, Dragomir Anguelov, Ashesh Jain:
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. 244-253 - Suryansh Kumar, Anoop Cherian, Yuchao Dai, Hongdong Li:
Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective. 254-263 - Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao:
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition. 264-272 - Qilin Sun, Xiong Dun, Yifan Peng, Wolfgang Heidrich:
Depth and Transient Imaging With Compressive SPAD Array Cameras. 273-282 - Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia:
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation. 283-291 - Bugra Tekin, Sudipta N. Sinha, Pascal Fua:
Real-Time Seamless Single Shot 6D Object Pose Prediction. 292-301 - Shubham Tulsiani, Saurabh Gupta, David F. Fouhey, Alexei A. Efros, Jitendra Malik:
Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene. 302-310 - Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo:
Monocular Relative Depth Perception With Web Stereo Data Supervision. 311-320 - Hannes Ovrén, Per-Erik Forssén:
Spline Error Weighting for Robust Visual-Inertial Fusion. 321-329 - Jaehan Lee, Minhyeok Heo, Kyung-Rae Kim, Chang-Su Kim:
Single-Image Depth Estimation Based on Fourier Domain Analysis. 330-339 - Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid:
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction. 340-349 - Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. 350-359 - Xuanyi Dong, Shoou-I Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, Yaser Sheikh:
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors. 360-368 - Shuang Li, Slawomir Bak, Peter Carr, Xiaogang Wang:
Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification. 369-378 - Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang:
Style Aggregated Network for Facial Landmark Detection. 379-388 - Yaojie Liu, Amin Jourabloo, Xiaoming Liu:
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision. 389-398 - Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang, Stephen J. Maybank:
Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation. 399-408 - Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim:
First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations. 409-419 - M. Saquib Sarfraz, Arne Schumann, Andreas Eberle, Rainer Stiefelhagen:
A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking. 420-429 - Amit Kumar, Rama Chellappa:
Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment. 430-439 - Kang Wang, Rui Zhao, Qiang Ji:
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation. 440-448 - Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng:
MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition. 449-458 - Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, Kostas Daniilidis:
Learning to Estimate 3D Human Pose and Shape From a Single Color Image. 459-468 - Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor:
Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points. 469-478 - Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi:
Context-Aware Deep Feature Compression for High-Speed Visual Tracking. 479-488 - Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Correlation Tracking via Joint Discrimination and Reliability Learning. 489-497 - Simone Meyer, Abdelaziz Djelouah, Brian McWilliams, Alexander Sorkine-Hornung, Markus H. Gross, Christopher Schroers:
PhaseNet for Video Frame Interpolation. 498-507 - Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller:
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. 508-517 - Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli:
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. 518-527 - Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu:
Scale-Transferrable Object Detection. 528-537 - Chung-Ching Lin, Ying Hung:
A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos. 538-547 - Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan:
End-to-End Flow Correlation Tracking With Spatial-Temporal Attention. 548-557 - Jia Xue, Hang Zhang, Kristin J. Dana:
Deep Texture Manifold for Ground Terrain Recognition. 558-567 - Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz:
Learning Superpixels With Segmentation-Aware Affinity Loss. 568-576 - Zhuwen Li, Qifeng Chen, Vladlen Koltun:
Interactive Image Segmentation With Latent Diversity. 577-585 - Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang:
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. 586-595 - Kun He, Yan Lu, Stan Sclaroff:
Local Descriptors Optimized for Average Precision. 596-605 - Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform. 606-615 - Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. 616-625 - Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. 626-635 - Subeesh Vasu, Mahesh Mohan M. R., A. N. Rajagopalan:
Occlusion-Aware Rolling Shutter Rectification of 3D Scenes. 636-645 - Ran Yi, Yong-Jin Liu, Yu-Kun Lai:
Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds. 646-655 - Lechao Cheng, Chengyi Zhang, Zicheng Liao:
Intrinsic Image Transformation via Scale Space Decomposition. 656-665 - Naeemullah Khan, Ganesh Sundaramoorthi:
Learned Shape-Tailored Descriptors for Segmentation. 666-674 - Dan Xu, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing. 675-684 - Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis:
Multi-Image Semantic Matching by Mining Consistent Features. 685-694 - He Zhang, Vishal M. Patel:
Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network. 695-704 - Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. 705-713 - Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, Gang Wang:
Progressive Attention Guided Recurrent Network for Salient Object Detection. 714-722 - Zheng Hui, Xiumei Wang, Xinbo Gao:
Fast and Accurate Single Image Super-Resolution via Information Distillation Network. 723-731 - Kwan-Yee Lin, Guanxiang Wang:
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning. 732-741 - Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu:
NAG: Network for Adversary Generation. 742-751 - Xiaodan Liang, Hongfei Zhou, Eric P. Xing:
Dynamic-Structured Semantic Propagation Network. 752-761 - Zhongzheng Ren, Yong Jae Lee:
Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery. 762-771 - Naama Hadad, Lior Wolf, Moni Shahar:
A Two-Step Disentanglement Method. 772-780 - Daniel Merget, Matthias Rock, Gerhard Rigoll:
Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network. 781-790 - Lei Huang, Dawei Yang, Bo Lang, Jia Deng:
Decorrelated Batch Normalization. 791-800 - Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Learning to Sketch With Shortcut Cycle Consistency. 801-810 - Hao Shen:
Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks. 811-820 - Yujun Shen, Ping Luo, Junjie Yan, Xiaogang Wang, Xiaoou Tang:
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis. 821-830 - Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh:
A Constrained Deep Neural Network for Ordinal Regression. 831-839 - Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu:
Modulated Convolutional Networks. 840-848 - Maurice Weiler, Fred A. Hamprecht, Martin Storath:
Learning Steerable Filters for Rotation Equivariant CNNs. 849-858 - David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. 859-868 - Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller:
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels. 869-877 - Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. 878-887 - Anurag Arnab, Ondrej Miksik, Philip H. S. Torr:
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. 888-897 - Tianlu Wang, Kota Yamaguchi, Vicente Ordonez:
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. 898-907 - Xin Yu, Basura Fernando, Richard Hartley, Fatih Porikli:
Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes. 908-917 - Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection From RGB-D Data. 918-927 - Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem:
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection. 928-936 - Zhile Ren, Erik B. Sudderth:
3D Object Detection With Latent Support Surfaces. 937-946 - Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao:
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. 947-955 - Shu Kong, Charless C. Fowlkes:
Recurrent Scene Parsing With Perspective Understanding in the Loop. 956-965 - Junhyug Noh, Soochan Lee, Beomsu Kim, Gunhee Kim:
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors. 966-974 - Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances From Images. 975-983 - Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung:
Pointwise Convolutional Neural Networks. 984-993 - Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao:
Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification. 994-1003 - Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal:
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. 1004-1013 - Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh:
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. 1014-1023 - Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song:
Transductive Unbiased Embedding for Zero-Shot Learning. 1024-1033 - Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. 1034-1042 - Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang:
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks. 1043-1052 - Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis:
Learning Rich Features for Image Manipulation Detection. 1053-1061 - Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gökmen, Mustafa E. Kamasak, Mubarak Shah:
Human Semantic Parsing for Person Re-Identification. 1062-1071 - Haoqi Fan, Jiatong Zhou:
Stacked Latent Attention for Multimodal Reasoning. 1072-1080 - Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis:
R-FCN-3000 at 30fps: Decoupling Detection and Classification. 1081-1090 - Yuhong Li, Xiaofan Zhang, Deming Chen:
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes. 1091-1100 - Jasper R. R. Uijlings, Stefan Popov, Vittorio Ferrari:
Revisiting Knowledge Transfer for Training Object Class Detectors. 1101-1110 - Edward Kim, Darryl Hannan, Garrett T. Kenyon:
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. 1111-1120 - Thibaud Ehret, Pablo Arias:
On the Convergence of PatchMatch and Its Variants. 1121-1129 - Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar:
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. 1130-1139 - Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang:
MoNet: Deep Motion Exploitation for Video Object Segmentation. 1140-1148 - Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Video Representation Learning Using Discriminative Pooling. 1149-1158 - Mengyuan Liu, Junsong Yuan:
Recognizing Human Actions as the Evolution of Pose Estimation Maps. 1159-1168 - Dapeng Chen, Hongsheng Li, Tong Xiao, Shuai Yi, Xiaogang Wang:
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding. 1169-1178 - Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang:
Mask-Guided Contrastive Attention Model for Person Re-Identification. 1179-1188 - Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool:
Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning. 1189-1198 - Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. 1199-1208 - Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
COCO-Stuff: Thing and Stuff Classes in Context. 1209-1218 - Justin Johnson, Agrim Gupta, Li Fei-Fei:
Image Generation From Scene Graphs. 1219-1228 - Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang:
Deep Cauchy Hashing for Hamming Space Retrieval. 1229-1237 - Dinesh Jayaraman, Kristen Grauman:
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. 1238-1247 - Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo:
Multi-Scale Location-Aware Kernel Representation for Object Detection. 1248-1257 - Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin:
Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria. 1258-1266 - Steven Chen, Kristen Grauman:
Compare and Contrast: Learning Prominent Visual Differences. 1267-1276 - Weifeng Ge, Sibei Yang, Yizhou Yu:
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. 1277-1286 - Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang:
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. 1287-1296 - Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye:
Min-Entropy Latent Model for Weakly Supervised Object Detection. 1297-1306 - Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg:
MAttNet: Modular Attention Network for Referring Expression Comprehension. 1307-1315 - Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He:
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. 1316-1324 - Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang:
Adversarial Complementary Learning for Weakly Supervised Object Localization. 1325-1334 - Weixiang Hong, Zhenzhen Wang, Ming Yang, Junsong Yuan:
Conditional Generative Adversarial Network for Structured Domain Adaptation. 1335-1344 - Fuhai Chen, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Jinsong Su:
GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints. 1345-1353 - Xiang Wang, Shaodi You, Xi Li, Huimin Ma:
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features. 1354-1362 - Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid:
Bootstrapping the Performance of Webly Supervised Semantic Segmentation. 1363-1371 - Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille:
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. 1372-1380 - Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, Dacheng Tao:
Geometry-Aware Scene Text Detection With Instance Transformation Network. 1381-1389 - Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, Wei Zhang:
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition. 1390-1399 - Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan:
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. 1400-1409 - Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. 1410-1419 - Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun:
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. 1420-1429 - Limin Wang, Wei Li, Wen Li, Luc Van Gool:
Appearance-and-Relation Networks for Video Classification. 1430-1439 - Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff:
Excitation Backprop for RNNs. 1440-1449 - Hongtao Yang, Xuming He, Fatih Porikli:
One-Shot Action Localization by Learning Sequence Matching Network. 1450-1459 - Jingwei Xu, Bingbing Ni, Zefan Li, Shuo Cheng, Xiaokang Yang:
Structure Preserving Video Prediction. 1460-1469 - Yicheng Wang, Zhenzhong Chen, Feng Wu, Gang Wang:
Person Re-Identification With Cascaded Pairwise Convolutions. 1470-1478 - Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand:
On the Importance of Label Quality for Semantic Segmentation. 1479-1487 - Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Scalable and Effective Deep CCA via Soft Decorrelation. 1488-1497 - Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen:
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation. 1498-1507 - Fan Bai, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Shuigeng Zhou:
Edit Probability for Scene Text Recognition. 1508-1516 - Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua:
Global Versus Localized Generative Adversarial Nets. 1517-1525 - Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz:
MoCoGAN: Decomposing Motion and Content for Video Generation. 1526-1535 - Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu:
Recurrent Residual Module for Fast Inference in Videos. 1536-1545 - Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz:
Improving Landmark Localization With Semi-Supervised Learning. 1546-1555 - Arghya Pal, Vineeth N. Balasubramanian:
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. 1556-1565 - Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth:
Stochastic Variational Inference With Gradient Linearization. 1566-1575 - Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs. 1576-1585 - Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi:
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. 1586-1595 - Pan Zhou, Yunqing Hou, Jiashi Feng:
Deep Adversarial Subspace Clustering. 1596-1604 - Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin:
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. 1605-1613 - Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers:
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. 1614-1624 - Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Robust Physical-World Attacks on Deep Learning Visual Classification. 1625-1634 - Donggyu Joo, Doyeon Kim, Junmo Kim:
Generating a Fusion Image: One's Identity and Another's Shape. 1635-1643 - Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji:
Learning to Promote Saliency Detectors. 1644-1653 - Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. 1654-1663 - Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita:
Deep Back-Projection Networks for Super-Resolution. 1664-1673 - Can Chen, Scott McCloskey, Jingyi Yu:
Focus Manipulation Detection via Photometric Histogram Analysis. 1674-1682 - Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton:
Compassionately Conservative Balanced Cuts for Image Segmentation. 1683-1691 - Abdelrahman Abdelhamed, Stephen Lin, Michael S. Brown:
A High-Quality Denoising Dataset for Smartphone Cameras. 1692-1700 - Simon Niklaus, Feng Liu:
Context-Aware Synthesis for Video Frame Interpolation. 1701-1710 - Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji:
Salient Object Detection Driven by Fixation Prediction. 1711-1720 - Daniel S. Jeon, Seung-Hwan Baek, Inchang Choi, Min H. Kim:
Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior. 1721-1730 - Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman:
HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification. 1731-1740 - Lu Zhang, Ju Dai, Huchuan Lu, You He, Gang Wang:
A Bi-Directional Message Passing Model for Salient Object Detection. 1741-1750 - Rotal Kat, Roy Josef Jevnisek, Shai Avidan:
Matching Pixels Using Co-Occurrence Statistics. 1751-1759 - Gwangmo Song, Heesoo Myeong, Kyoung Mu Lee:
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation. 1760-1768 - Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata:
Jerk-Aware Video Acceleration Magnification. 1769-1777 - Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu:
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. 1778-1787 - Jifeng Wang, Xiang Li, Jian Yang:
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal. 1788-1797 - Xin Yang, Ke Xu, Yibing Song, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau:
Image Correction via Deep Reciprocating HDR Transformation. 1798-1807 - Ekta Prashnani, Hong Cai, Yasamin Mostofi, Pradeep Sen:
PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference. 1808-1817 - Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers:
Normalized Cut Loss for Weakly-Supervised CNN Segmentation. 1818-1827 - Jian Zhang, Bernard Ghanem:
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing. 1828-1837 - Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang:
Fast End-to-End Trainable Guided Filter. 1838-1847 - Andrew Gilbert, John P. Collomosse, Hailin Jin, Brian L. Price:
Disentangling Structure and Aesthetics for Style-Aware Image Completion. 1848-1856 - Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
Learning a Discriminative Feature Network for Semantic Segmentation. 1857-1866 - Xing Wei, Yue Zhang, Yihong Gong, Nanning Zheng:
Kernelized Subspace Pooling for Deep Local Descriptors. 1867-1875 - Je Hyeong Hong, Christopher Zach:
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment. 1876-1885 - Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion With Graph Convolutional Autoencoders. 1886-1895 - Syed Zulqarnain Gilani, Ajmal Mian:
Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition. 1896-1905 - N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan:
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles. 1906-1915 - Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan:
Deep Material-Aware Cross-Spectral Stereo Matching. 1916-1925 - True Price, Johannes L. Schönberger, Zhen Wei, Marc Pollefeys, Jan-Michael Frahm:
Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections. 1926-1935 - Stephan R. Richter, Stefan Roth:
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. 1936-1944 - Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai:
Triplet-Center Loss for Multi-View 3D Object Retrieval. 1945-1954 - David Stutz, Andreas Geiger:
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision. 1955-1964 - Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecká:
End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching. 1965-1973 - Haomin Liu, Mingyu Chen, Guofeng Zhang, Hujun Bao, Yingze Bao:
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM. 1974-1982 - Zhichao Yin, Jianping Shi:
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose. 1983-1992 - James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum:
Radially-Distorted Conjugate Translations. 1993-2001 - Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao:
Deep Ordinal Regression Network for Monocular Depth Estimation. 2002-2011 - Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam:
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. 2012-2021 - Chaoyang Wang, José Miguel Buenaposada, Rui Zhu, Simon Lucey:
Learning Depth From Monocular Videos Using Direct Methods. 2022-2030 - Shizheng Wang, Wenjuan Liao, Phil Surman, Zhigang Tu, Yuanjin Zheng, Junsong Yuan:
Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display. 2031-2040 - Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction From Internet Photos. 2041-2050 - Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem:
LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image. 2051-2059 - Konstantinos Batsos, Changjiang Cai, Philippos Mordohai:
CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. 2060-2069 - Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin:
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. 2070-2079 - Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Exploring Disentangled Feature Representation Beyond Face Identification. 2080-2089 - Kaili Zhao, Wen-Sheng Chu, Aleix M. Martínez:
Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering. 2090-2099 - Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan:
Human Pose Estimation With Parsing Induced Learner. 2100-2108 - Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. 2109-2118 - Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang:
Attention-Aware Compositional Network for Person Re-Identification. 2119-2128 - Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou:
Look at Boundary: A Boundary-Aware Face Alignment Algorithm. 2129-2138 - Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim:
Demo2Vec: Reasoning Object Affordances From Online Videos. 2139-2147 - Andrei Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu:
Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints. 2148-2157 - Elisabeta Marinoiu, Mihai Zanfir, Vlad Olaru, Cristian Sminchisescu:
3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism. 2158-2167 - Huiyuan Yang, Umur A. Ciftci, Lijun Yin:
Facial Expression Recognition by De-Expression Residue Learning. 2168-2177 - Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu:
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects. 2178-2187 - Guozhu Peng, Shangfei Wang:
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training. 2188-2196 - Anoop Cherian, Suvrit Sra, Stephen Gould, Richard Hartley:
Non-Linear Temporal Subspace Representations for Activity Recognition. 2197-2206 - Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng:
Towards Pose Invariant Face Recognition in the Wild. 2207-2216 - Qingqiu Huang, Yu Xiong, Dahua Lin:
Unifying Identification and Context Learning for Person Recognition. 2217-2225 - Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas:
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. 2226-2234 - Zhenhua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiao-Jun Wu:
Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks. 2235-2245 - Taiping Yao, Minsi Wang, Bingbing Ni, Huawei Wei, Xiaokang Yang:
Multiple Granularity Group Interaction Prediction. 2246-2254 - Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi:
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. 2255-2264 - Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Deep Group-Shuffling Random Walk for Person Re-Identification. 2265-2274 - Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li:
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification. 2275-2284 - Wei Li, Xiatian Zhu, Shaogang Gong:
Harmonious Attention Network for Person Re-Identification. 2285-2294 - Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen:
Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks. 2295-2303 - Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille:
Deep Regression Forests for Age Estimation. 2304-2313 - Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji:
Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation. 2314-2323 - Federico Pernici, Federico Bartoli, Matteo Bruni, Alberto Del Bimbo:
Memory Based Online Learning of Deep Representations From Video Streams. 2324-2334 - Yiluan Guo, Ngai-Man Cheung:
Efficient and Deep Person Re-Identification Using Multi-Level Similarity. 2335-2344 - Bin Xu, Zhenzhong Chen:
Multi-Level Fusion Based 3D Object Detection From Monocular Images. 2345-2353 - Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann, Matthew Fisher, Emiliano Gambaretto, Sunil Hadap, Jean-François Lalonde:
A Perceptual Measure for Deep Single Image Camera Calibration. 2354-2363 - Wei Xiong, Wenhan Luo, Lin Ma, Wei Liu, Jiebo Luo:
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks. 2364-2373 - Netanel Kligler, Sagi Katz, Ayellet Tal:
Document Enhancement Using Visibility Detection. 2374-2382 - Michel Melo Silva, Washington L. S. Ramos, João P. K. Ferreira, Felipe C. Chamone, Mario F. M. Campos, Erickson R. Nascimento:
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos. 2383-2392 - Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang:
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation. 2393-2402 - Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Deep Layer Aggregation. 2403-2412 - Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin:
Convolutional Neural Networks With Alternately Updated Clique. 2413-2422 - Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
Practical Block-Wise Neural Network Architecture Generation. 2423-2432 - Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli:
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. 2433-2442 - Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. 2443-2452 - Tamar Rott Shaham, Tomer Michaeli:
Deformation Aware Image Compression. 2453-2462 - Nan Hu, Qixing Huang, Boris Thibert, Leonidas J. Guibas:
Distributable Consistent Multi-Object Matching. 2463-2471 - Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. 2472-2481 - Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu:
Attentive Generative Adversarial Network for Raindrop Removal From a Single Image. 2482-2491 - Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang:
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors. 2492-2501 - Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll:
Burst Denoising With Kernel Prediction Networks. 2502-2510 - Ying Qu, Hairong Qi, Chiman Kwan:
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution. 2511-2520 - Jiawei Zhang, Jinshan Pan, Jimmy S. J. Ren, Yibing Song, Linchao Bao, Rynson W. H. Lau, Ming-Hsuan Yang:
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks. 2521-2529 - Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. 2530-2539 - Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna:
Surface Networks. 2540-2548 - Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt:
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz. 2549-2559 - Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. 2560-2568 - Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann:
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. 2569-2578 - Chen Liu, Jimei Yang, Duygu Ceylan, Ersin Yumer, Yasutaka Furukawa:
PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image. 2579-2588 - Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun:
Deep Parametric Continuous Convolutional Neural Networks. 2589-2597 - Nitika Verma, Edmond Boyer, Jakob Verbeek:
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis. 2598-2606 - Antonio Agudo, Melcior Pijoan, Francesc Moreno-Noguer:
Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories. 2607-2615 - Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz:
Geometry-Aware Learning of Maps for Camera Localization. 2616-2625 - Qiangui Huang, Weiyue Wang, Ulrich Neumann:
Recurrent Slice Networks for 3D Segmentation of Point Clouds. 2626-2635 - Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim:
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. 2636-2645 - Miroslava Slavcheva, Maximilian Baust, Slobodan Ilic:
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion. 2646-2655 - Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu:
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. 2656-2665 - Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. 2666-2674 - Simon Korman, Mark Milam, Stefano Soatto:
OATM: Occlusion Aware Template Matching by Consensus Set Maximization. 2675-2683 - Andrei Zanfir, Cristian Sminchisescu:
Deep Learning of Graph Matching. 2684-2693 - Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, Honglak Lee:
Unsupervised Discovery of Object Landmarks as Structural Representations. 2694-2703 - Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. 2704-2713 - Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie, Pietro Perona:
Lean Multiclass Crowdsourcing. 2714-2723 - Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Partial Transfer Learning With Selective Adversarial Networks. 2724-2732 - Simon Jenni, Paolo Favaro:
Self-Supervised Feature Learning by Learning to Spot Artifacts. 2733-2742 - Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. 2743-2751 - Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. 2752-2761 - Michel Keller, Zetao Chen, Fabiola Maffra, Patrik Schmuck, Margarita Chli:
Learning Deep Descriptors With Scale-Aware Triplet Networks. 2762-2770 - Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. 2771-2779 - Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie Zhou:
Deep Adversarial Metric Learning. 2780-2789 - Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-Net: Point Cloud Upsampling Network. 2790-2799 - Amir Atapour Abarghouei, Toby P. Breckon:
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer. 2800-2810 - Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang:
Learning for Disparity Estimation Through Feature Constancy. 2811-2820 - Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, Jia-Bin Huang:
DeepMVS: Learning Multi-View Stereopsis. 2821-2830 - Daniel Teo, Boxin Shi, Yinqiang Zheng, Sai-Kit Yeung:
Self-Calibrating Polarising Radiometric Calibration. 2831-2839 - Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor:
Coding Kendall's Shape Trajectories for 3D Action Recognition. 2840-2849 - Javier S. Turek, Alexander G. Huth:
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling. 2850-2858 - Xun Xu, Loong Fah Cheong, Zhuwen Li:
Motion Segmentation by Exploiting Complementary Geometric Models. 2859-2867 - Yunpeng Shi, Gilad Lerman:
Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble. 2868-2876 - Zhong Li, Minye Wu, Wangyiteng Zhou, Jingyi Yu:
4D Human Body Correspondences From Panoramic Depth Maps. 2877-2886 - Shiwei Li, Yao Yao, Tian Fang, Long Quan:
Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves. 2887-2896 - Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction. 2897-2905 - Takahiro Isokane, Fumio Okura, Ayaka Ide, Yasuyuki Matsushita, Yasushi Yagi:
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation. 2906-2915 - Yiyi Liao, Simon Donné, Andreas Geiger:
Deep Marching Cubes: Learning Explicit Surface Representations. 2916-2925 - Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions From Shape Tags. 2926-2935 - Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Yasuyuki Matsushita:
Uncalibrated Photometric Stereo Under Natural Illumination. 2936-2945 - Sunghoon Im, Hae-Gon Jeon, In So Kweon:
Robust Depth Estimation From Auto Bracketed Images. 2946-2954 - Philipp Krähenbühl:
Free Supervision From Video Games. 2955-2964 - Hao Fang, Florent Lafarge, Mathieu Desbrun:
Planar Shape Detection at Structural Scales. 2965-2973 - Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. 2974-2983 - Viktor Larsson, Zuzana Kukelova, Yinqiang Zheng:
Camera Pose Estimation With Unknown Principal Point. 2984-2992 - Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre, João Paulo Costeira:
Inverse Composition Discriminative Optimization for Point Cloud Registration. 2993-3001 - Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
SurfConv: Bridging 3D and 2D Convolution for RGBD Images. 3002-3011 - Qianggong Zhang, Tat-Jun Chin, Huu M. Le:
A Fast Resection-Intersection Method for the Known Rotation Problem. 3012-3021 - Alexander Grabner, Peter M. Roth, Vincent Lepetit:
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild. 3022-3031 - Xiu Li, Hongdong Li, Hanbyul Joo, Yebin Liu, Yaser Sheikh:
Structure From Recurrent Motion: From Rigidity to Recurrency. 3032-3040 - Alex Poms, Chenglei Wu, Shoou-I Yu, Yaser Sheikh:
Learning Patch Reconstructability for Accelerating Multi-View Stereo. 3041-3050 - Hao Chen, Youfu Li:
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection. 3051-3060 - Daeyun Shin, Charless C. Fowlkes, Derek Hoiem:
Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction. 3061-3069 - Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy S. J. Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang:
Learning Dual Convolutional Neural Networks for Low-Level Vision. 3070-3079 - Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu:
Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network. 3080-3088 - Nian Liu, Junwei Han, Ming-Hsuan Yang:
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection. 3089-3098 - Ehud Barnea, Ohad Ben-Shahar:
Curve Reconstruction via the Global Statistics of Natural Curves. 3099-3107 - Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What Do Deep Networks Like to See? 3108-3117 - Assaf Shocher, Nadav Cohen, Michal Irani:
"Zero-Shot" Super-Resolution Using Deep Internal Learning. 3118-3126 - Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji:
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection. 3127-3135 - Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski, Pascal Fua:
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. 3136-3145 - Jean-Philippe Bauchet, Florent Lafarge:
KIPPI: KInetic Polygonal Partitioning of Images. 3146-3154 - Jingwen Chen, Jiawei Chen, Hongyang Chao, Ming Yang:
Image Blind Denoising With Generative Adversarial Network Based Noise Modeling. 3155-3164 - Noam Yair, Tomer Michaeli:
Multi-Scale Weighted Nuclear Norm Image Restoration. 3165-3174 - Mengran Gou, Fei Xiong, Octavia I. Camps, Mario Sznaier:
MoNet: Moments Embedding Network. 3175-3183 - Calden Wloka, Iuliia Kotseruba, John K. Tsotsos:
Active Fixation Control to Predict Saccade Sequences. 3184-3193 - He Zhang, Vishal M. Patel:
Densely Connected Pyramid Dehazing Network. 3194-3203 - Stamatios Lefkimmiatis:
Universal Denoising Networks : A Novel CNN Architecture for Image Denoising. 3204-3213 - Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang:
Learning Convolutional Networks for Content-Weighted Image Compression. 3214-3223 - Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, Seon Joo Kim:
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation. 3224-3232 - Jiaying Liu, Wenhan Yang, Shuai Yang, Zongming Guo:
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos. 3233-3242 - Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin:
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. 3243-3252 - Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang:
Gated Fusion Network for Single Image Dehazing. 3253-3261 - Kai Zhang, Wangmeng Zuo, Lei Zhang:
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations. 3262-3271 - Subeesh Vasu, Venkatesh Reddy Maligireddy, A. N. Rajagopalan:
Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs. 3272-3281 - Peng Lei, Fuxin Li, Sinisa Todorovic:
Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion. 3282-3290 - Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun:
Learning to See in the Dark. 3291-3300 - Ziming Zhang, Yuanwei Wu, Guanghui Wang:
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. 3301-3309 - Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. 3310-3318 - Yedid Hoshen, Lior Wolf:
Unsupervised Correlation Analysis. 3319-3328 - Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh:
A Biresolution Spectral Framework for Product Quantization. 3329-3338 - Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Domain Adaptive Faster R-CNN for Object Detection in the Wild. 3339-3348 - Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou:
Low-Shot Learning With Large-Scale Diffusion. 3349-3358 - Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
Joint Pose and Expression Modeling for Facial Expression Recognition. 3359-3368 - Jochen Gast, Stefan Roth:
Lightweight Probabilistic Deep Networks. 3369-3378 - Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli:
Adversarially Learned One-Class Classifier for Novelty Detection. 3379-3388 - Naveed Akhtar, Jian Liu, Ajmal Mian:
Defense Against Universal Adversarial Perturbations. 3389-3398 - Qiyang Hu, Attila Szabó, Tiziano Portenier, Paolo Favaro, Matthias Zwicker:
Disentangling Factors of Variation by Mixing Them. 3399-3407 - Aliaksandr Siarohin, Enver Sangineto, Stéphane Lathuilière, Nicu Sebe:
Deformable GANs for Pose-Based Human Image Generation. 3408-3416 - Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun:
Hierarchical Recurrent Attention Networks for Structured Online Maps. 3417-3426 - Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann:
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. 3427-3436 - Zhen Zhang, Mianzhi Wang, Yan Huang, Arye Nehorai:
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation. 3437-3445 - Jedrzej Kozerawski, Matthew Turk:
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition. 3446-3455 - Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Local and Global Optimization Techniques in Graph-Based Clustering. 3456-3464 - Youssef A. Mejjati, Darren Cosker, Kwang In Kim:
Multi-Task Learning by Maximizing Statistical Dependence. 3465-3473 - Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification With Convolutional Prototype Learning. 3474-3482 - Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing:
Generative Modeling Using the Sliced Wasserstein Distance. 3483-3491 - Tom Veniat, Ludovic Denoyer:
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks. 3492-3500 - Krishna Regmi, Ali Borji:
Cross-View Image Synthesis Using Conditional GANs. 3501-3510 - Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman:
Sparse, Smart Contours to Represent and Edit Images. 3511-3520 - Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh:
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB. 3521-3529 - Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm:
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. 3530-3540 - Ying-Cong Chen, Huaijia Lin, Michelle Shu, Ruiyu Li, Xin Tao, Xiaoyong Shen, Yangang Ye, Jiaya Jia:
Facelet-Bank for Fast Portrait Manipulation. 3541-3549 - Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg:
Visual to Sound: Generating Natural Sound for Videos in the Wild. 3550-3558 - Abhijit Kundu, Yin Li, James M. Rehg:
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare. 3559-3568 - Wenjie Luo, Bin Yang, Raquel Urtasun:
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. 3569-3577 - Bharat Singh, Larry S. Davis:
An Analysis of Scale Invariance in Object Detection SNIP. 3578-3587 - Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, Yichen Wei:
Relation Networks for Object Detection. 3588-3597 - Yuming Shen, Li Liu, Fumin Shen, Ling Shao:
Zero-Shot Sketch-Image Hashing. 3598-3607 - Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham:
VizWiz Grand Challenge: Answering Visual Questions From Blind People. 3608-3617 - Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan:
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN. 3618-3626 - Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi:
Structured Set Matching Networks for One-Shot Part Labeling. 3627-3636 - David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi:
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. 3637-3645 - Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Link and Code: Fast Indexing With Graphs and Compact Regression Codes. 3646-3654 - Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang:
Textbook Question Answering Under Instructor Guidance With Memory Networks. 3655-3663 - Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang:
Unsupervised Deep Generative Adversarial Hashing Network. 3664-3673 - Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel:
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. 3674-3683 - Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang:
DenseASPP for Semantic Segmentation in Street Scenes. 3684-3692 - Pritish Mohapatra, Michal Rolínek, C. V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar:
Efficient Optimization for Rank-Based Loss Functions. 3693-3701 - Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu:
Wasserstein Introspective Neural Networks. 3702-3711 - Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. 3712-3722 - Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada:
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. 3723-3732 - Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin:
Unsupervised Feature Learning via Non-Parametric Instance Discrimination. 3733-3742 - Yang Liu, Zhaowen Wang, Hailin Jin, Ian J. Wassell:
Multi-Task Adversarial Network for Disentangled Feature Learning. 3743-3751 - Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa:
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. 3752-3761 - Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto:
Empirical Study of the Topology and Geometry of Deep Networks. 3762-3770 - Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Boosting Domain Adaptation by Discovering Latent Domains. 3771-3780 - Dawei Yang, Jia Deng:
Shape From Shading Through Shape Evolution. 3781-3790 - Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Weakly Supervised Instance Segmentation Using Class Peak Response. 3791-3800 - Weichen Zhang, Wanli Ouyang, Wen Li, Dong Xu:
Collaborative and Adversarial Network for Unsupervised Domain Adaptation. 3801-3809 - Shuqin Xie, Zitian Chen, Chao Xu, Cewu Lu:
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines. 3810-3819 - Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners With Visual Explanations. 3820-3828 - Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. 3829-3837 - Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu:
Left-Right Comparative Recurrent Model for Stereo Matching. 3838-3846 - Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas A. Funkhouser:
Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View. 3847-3856 - Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan:
Polarimetric Dense Monocular SLAM. 3857-3866 - Guillermo Gallego, Henri Rebecq, Davide Scaramuzza:
A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation. 3867-3876 - Timur M. Bagautdinov, Chenglei Wu, Jason M. Saragih, Pascal Fua, Yaser Sheikh:
Modeling Facial Geometry Using Compositional VAEs. 3877-3886 - Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou:
Tangent Convolutions for Dense Prediction in 3D. 3887-3896 - Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. 3897-3906 - Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada:
Neural 3D Mesh Renderer. 3907-3916 - Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci:
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. 3917-3925 - Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu:
Automatic 3D Indoor Scene Modeling From Single Panorama. 3926-3934 - Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gérard G. Medioni:
Extreme 3D Face Reconstruction: Seeing Through Occlusions. 3935-3944 - Viktor Larsson, Magnus Oskarsson, Kalle Åström, Alge Wallis, Zuzana Kukelova, Tomás Pajdla:
Beyond Grobner Bases: Basis Selection for Minimal Solvers. 3945-3954 - Silvia Zuffi, Angjoo Kanazawa, Michael J. Black:
Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images. 3955-3963 - Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin:
Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. 3964-3973 - Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images. 3974-3983 - Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. 3984-3993 - Weimin Tan, Bo Yan, Bahetiyaer Bare:
Feature Super-Resolution: Make Machine See More Clearly. 3994-4002 - Rodney LaLonde, Dong Zhang, Mubarak Shah:
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information. 4003-4012 - Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam:
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. 4013-4022 - Kun He, Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff:
Hashing as Tie-Aware Learning to Rank. 4023-4032 - Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification-Driven Dynamic Image Enhancement. 4033-4041 - Kan Chen, Jiyang Gao, Ram Nevatia:
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding. 4042-4050 - Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi:
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data. 4051-4060 - Xiangyun Zhao, Shuang Liang, Yichen Wei:
Pseudo Mask Augmented Object Detection. 4061-4070 - Changmao Cheng, Yanwei Fu, Yu-Gang Jiang, Wei Liu, Wenlian Lu, Jianfeng Feng, Xiangyang Xue:
Dual Skipping Networks. 4071-4079 - Qi Cai, Yingwei Pan, Ting Yao, Chenggang Yan, Tao Mei:
Memory Matching Networks for One-Shot Image Recognition. 4080-4088 - Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi:
IQA: Visual Question Answering in Interactive Environments. 4089-4098 - Jinxian Liu, Bingbing Ni, Yichao Yan, Peng Zhou, Shuo Cheng, Jianguo Hu:
Pose Transferrable Person Re-Identification. 4099-4108 - Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie:
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. 4109-4118 - Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He:
Data Distillation: Towards Omni-Supervised Learning. 4119-4128 - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos With Language and Human Gaze. 4129-4138 - Yao Zhai, Jingjing Fu, Yan Lu, Houqiang Li:
Feature Selective Networks for Object Detection. 4139-4147 - Yaming Wang, Vlad I. Morariu, Larry S. Davis:
Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition. 4148-4157 - Hanwang Zhang, Yulei Niu, Shih-Fu Chang:
Grounding Referring Expressions in Images by Variational Context. 4158-4166 - Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. 4167-4175 - Riccardo Roveri, Lukas Rahmann, Cengiz Öztireli, Markus H. Gross:
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation. 4176-4184 - Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens:
Towards Dense Object Tracking in a 2D Honeybee Hive. 4185-4193 - Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. 4194-4202 - Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Single-Shot Refinement Neural Network for Object Detection. 4203-4212 - Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. 4213-4222 - Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. 4223-4232 - Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. 4233-4241 - Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, Dacheng Tao:
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval. 4242-4251 - Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel:
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. 4252-4261 - Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian:
Zigzag Learning for Weakly Supervised Object Detection. 4262-4270 - Wenguan Wang, Yuanlu Xu, Jianbing Shen, Song-Chun Zhu:
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification. 4271-4280 - Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai:
Generalized Zero-Shot Learning via Synthesized Examples. 4281-4289 - Jiajiong Cao, Yingming Li, Zhongfei Zhang:
Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning. 4290-4299 - Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong:
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. 4300-4309 - Florian Bernard, Christian Theobalt, Michael Möller:
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems. 4310-4319 - Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu:
Deep Mutual Learning. 4320-4328 - Shixing Chen, Caojin Zhang, Ming Dong:
Coupled End-to-End Transfer Learning With Generalized Fisher Information. 4329-4338 - Artem Rozantsev, Mathieu Salzmann, Pascal Fua:
Residual Parameter Transfer for Deep Domain Adaptation. 4339-4348 - Kwang In Kim, Juhyun Park, James Tompkin:
High-Order Tensor Regularization With Application to Attribute Ranking. 4349-4357 - Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. 4358-4366 - Spyros Gidaris, Nikos Komodakis:
Dynamic Few-Shot Visual Learning Without Forgetting. 4367-4375 - Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng:
Two-Step Quantization for Low-Bit Neural Networks. 4376-4384 - Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici:
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. 4385-4393 - Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. 4394-4402 - Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg:
Deep Diffeomorphic Transformer Networks. 4403-4412 - Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko:
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks. 4413-4421 - Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge J. Belongie:
Generative Adversarial Perturbations. 4422-4431 - Xin Yu, Zhiding Yu, Srikumar Ramalingam:
Learning Strict Identity Mappings in Deep Residual Networks. 4432-4440 - Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Geometric Robustness of Deep Networks: Analysis and Improvement. 4441-4449 - Hao Zhu, Hao Su, Peng Wang, Xun Cao, Ruigang Yang:
View Extrapolation of Human Body From a Single Image. 4450-4459 - Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi:
Geometry Aware Constrained Optimization Techniques for Deep Learning. 4460-4469 - Mikaela Angelina Uy, Gim Hee Lee:
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition. 4470-4479 - Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao:
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. 4480-4489 - Yin Zhou, Oncel Tuzel:
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. 4490-4499 - Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim:
Image to Image Translation for Domain Adaptation. 4500-4509 - Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
MobileNetV2: Inverted Residuals and Linear Bottlenecks. 4510-4520 - Chengjie Niu, Jun Li, Kai Xu:
Im2Struct: Recovering 3D Shape Structure From a Single RGB Image. 4521-4529 - Hendrik Schilling, Maximilian Diebold, Carsten Rother, Bernd Jähne:
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling. 4530-4538 - Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Baseline Desensitizing in Translation Averaging. 4539-4547 - Yiru Shen, Chen Feng, Yaoqing Yang, Dong Tian:
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling. 4548-4557 - Loïc Landrieu, Martin Simonovsky:
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs. 4558-4567 - Siyu Zhu, Runze Zhang, Lei Zhou, Tianwei Shen, Tian Fang, Ping Tan, Long Quan:
Very Large-Scale Global SfM by Distributed Motion Averaging. 4568-4577 - Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner:
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. 4578-4587 - Ziquan Lan, David Hsu, Gim Hee Lee:
Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition. 4588-4596 - Jae-Seong Yun, Jae-Young Sim:
Reflection Removal for Large-Scale 3D Point Clouds. 4597-4605 - Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu:
Attentional ShapeContextNet for Point Cloud Recognition. 4606-4615 - Miaomiao Liu, Xuming He, Mathieu Salzmann:
Geometry-Aware Deep Network for Single-Image Novel View Synthesis. 4616-4624 - Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari, Justus Thies, Christian Richardt, Christian Theobalt:
InverseFaceNet: Deep Monocular Inverse Face Rendering. 4625-4634 - Xuan Cao, Zhang Chen, Anpei Chen, Xin Chen, Shiying Li, Jingyi Yu:
Sparse Photometric 3D Face Reconstruction Guided by Morphable Models. 4635-4644 - Yanping Fu, Qingan Yan, Long Yang, Jie Liao, Chunxia Xiao:
Texture Mapping for 3D Reconstruction With RGB-D Sensor. 4645-4653 - Eric Brachmann, Carsten Rother:
Learning Less Is More - 6D Camera Localization via 3D Surface Regression. 4654-4662 - Mahdi Rad, Markus Oberweger, Vincent Lepetit:
Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images. 4663-4672 - Pyojin Kim, Brian Coltin, H. Jin Kim:
Indoor RGB-D Compass From a Single Line and Plane. 4673-4680 - Albert Pumarola, Antonio Agudo, Lorenzo Porzi, Alberto Sanfeliu, Vincent Lepetit, Francesc Moreno-Noguer:
Geometry-Aware Network for Non-Rigid Shape Prediction From a Single View. 4681-4690 - Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine:
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control. 4691-4699 - Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras:
DocUNet: Document Image Unwarping via a Stacked U-Net. 4700-4709 - Aisha Urooj Khan, Ali Borji:
Analysis of Hand Segmentation in the Wild. 4710-4719 - Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David J. DeWitt:
RoadTracer: Automatic Extraction of Road Networks From Aerial Images. 4720-4728 - Mrinal K. Paul, Stergios I. Roumeliotis:
Alternating-Stereo VINS: Observability Analysis and Performance Evaluation. 4729-4737 - Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steven M. Seitz:
Soccer on Your Tabletop. 4738-4747 - Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim:
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images. 4748-4757 - Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang:
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping. 4758-4766 - Shijie Nie, Lin Gu, Yinqiang Zheng, Antony Lam, Nobutaka Ono, Imari Sato:
Deeply Learned Filter Response Functions for Hyperspectral Reconstruction. 4767-4776 - Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot:
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network. 4777-4785 - Xuaner Cecilia Zhang, Ren Ng, Qifeng Chen:
Single Image Reflection Separation With Perceptual Losses. 4786-4794 - Yizhen Lao, Omar Ait-Aider:
A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection. 4795-4803 - Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani, Hiroyuki Kubo, Takuya Funatomi, Yasuhiro Mukaigawa:
Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo. 4804-4813 - Kourosh Meshgi, Shigeyuki Oba, Shin Ishii:
Efficient Diverse Ensemble for Discriminative Co-Tracking. 4814-4823 - Akash Bapat, True Price, Jan-Michael Frahm:
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking. 4824-4833 - Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
A Twofold Siamese Network for Real-Time Object Tracking. 4834-4843 - Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li:
Multi-Cue Correlation Filters for Robust Visual Tracking. 4844-4853 - Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen J. Maybank:
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. 4854-4863 - Xiao Wang, Chenglong Li, Bin Luo, Jin Tang:
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation. 4864-4873 - Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang:
High-Speed Tracking With Multi-Kernel Correlation Filters. 4874-4883 - Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu:
Occlusion Aware Unsupervised Learning of Optical Flow. 4884-4893 - Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji:
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model. 4894-4903 - Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang:
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking. 4904-4913 - Giorgos Bouritsas, Petros Koutras, Athanasia Zlatintsi, Petros Maragos:
Multimodal Visual Concept Learning With Weakly Supervised Techniques. 4914-4923 - Jialiang Zhang, Soroosh Khoram, Jing Li:
Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA. 4924-4932 - Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
Learning a Complete Image Indexing Pipeline. 4933-4941 - David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar:
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning. 4942-4950 - Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. 4951-4961 - Hanzhang Wang, Hanli Wang, Kaisheng Xu:
Categorizing Concepts With Basic Level for Vision-to-Language. 4962-4970 - Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi:
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. 4971-4980 - Jiwoon Ahn, Suha Kwak:
Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation. 4981-4990 - David F. Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik:
From Lifestyle Vlogs to Everyday Interactions. 4991-5000 - Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa:
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation. 5001-5009 - Asako Kanezaki, Yasuyuki Matsushita, Yoshifumi Nishida:
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints. 5010-5019 - Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun:
An End-to-End TextSpotter With Explicit Alignment and Attention. 5020-5029 - Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur M. Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret:
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. 5030-5039 - Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang:
Direct Shape Regression Networks for End-to-End Face Alignment. 5040-5049 - Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. 5050-5059 - Jae Shin Yoon, Ziwei Li, Hyun Soo Park:
3D Semantic Trajectory Reconstruction From 3D Pixel Continuum. 5060-5069 - Shizhong Han, Zibo Meng, Zhiyuan Li, James O'Reilly, Jie Cai, Xiaofeng Wang, Yan Tong:
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition. 5070-5078 - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map. 5079-5088 - Yutong Zheng, Dipan K. Pal, Marios Savvides:
Ring Loss: Convex Feature Normalization for Face Recognition. 5089-5097 - Houjing Huang, Dangwei Li, Zhang Zhang, Xiaotang Chen, Kaiqi Huang:
Adversarially Occluded Samples for Person Re-Identification. 5098-5107 - Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji:
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition. 5108-5116 - Shiyang Cheng, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou:
4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications. 5117-5126 - Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides:
Seeing Small Faces From Robust Anchor's Perspective. 5127-5136 - Diogo C. Luvizon, David Picard, Hedi Tabia:
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning. 5137-5146 - Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dense 3D Regression for Hand Pose Estimation. 5147-5156 - Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang:
Camera Style Adaptation for Person Re-Identification. 5157-5166 - Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, Bernt Schiele:
PoseTrack: A Benchmark for Human Pose Estimation and Tracking. 5167-5176 - Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang:
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. 5177-5186 - Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy:
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. 5187-5196 - Jiang Liu, Chenqiang Gao, Deyu Meng, Alexander G. Hauptmann:
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation. 5197-5206 - Yue Luo, Jimmy S. J. Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin:
LSTM Pose Machines. 5207-5215 - Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu:
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition. 5216-5225 - Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee:
Convolutional Sequence to Sequence Model for Human Dynamics. 5226-5234 - Pradyumna Narayana, J. Ross Beveridge, Bruce A. Draper:
Gesture Recognition: Focus on the Hands. 5235-5244 - Zan Shen, Yi Xu, Bingbing Ni, Minsi Wang, Jianguo Hu, Xiaokang Yang:
Crowd Counting via Adversarial Cross-Scale Consistency Pursuit. 5245-5254 - Wei Yang, Wanli Ouyang, Xiaolong Wang, Jimmy S. J. Ren, Hongsheng Li, Xiaogang Wang:
3D Human Pose Estimation in the Wild by Adversarial Learning. 5255-5264 - Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, Wei Liu:
CosFace: Large Margin Cosine Loss for Deep Face Recognition. 5265-5274 - Yanyu Xu, Zhixin Piao, Shenghua Gao:
Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction. 5275-5284 - Hongyu Pan, Hu Han, Shiguang Shan, Xilin Chen:
Mean-Variance Loss for Deep Age Estimation From a Face. 5285-5294 - Dennis Madsen, Marcel Lüthi, Andreas Schneider, Thomas Vetter:
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction. 5295-5303 - A. J. Piergiovanni, Michael S. Ryoo:
Learning Latent Super-Events to Detect Multiple Activities in Videos. 5304-5313 - Yali Wang, Lei Zhou, Yu Qiao:
Temporal Hallucinating for Action Recognition With Few Still Images. 5314-5322 - Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, Jie Zhou:
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. 5323-5332 - Yanyu Xu, Yanbing Dong, Junru Wu, Zhengzhong Sun, Zhiru Shi, Jingyi Yu, Shenghua Gao:
Gaze Prediction in Dynamic 360° Immersive Videos. 5333-5342 - Yazan Abu Farha, Alexander Richard, Juergen Gall:
When Will You Do What? - Anticipating Temporal Occurrences of Activities. 5343-5352 - Weihong Ren, Di Kang, Yandong Tang, Antoni B. Chan:
Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes. 5353-5362 - Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang:
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification. 5363-5372 - Jiahuan Zhou, Bing Su, Ying Wu:
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. 5373-5381 - Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, Guoyan Zheng:
Crowd Counting With Deep Negative Correlation Learning. 5382-5390 - Mihai Zanfir, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu:
Human Appearance Transfer. 5391-5399 - Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot:
Domain Generalization With Adversarial Feature Learning. 5400-5409 - Jia-Ren Chang, Yong-Sheng Chen:
Pyramid Stereo Matching Network. 5410-5418 - Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza:
Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars. 5419-5427 - Hexiang Hu, Wei-Lun Chao, Fei Sha:
Learning Answer Embeddings for Visual Question Answering. 5428-5436 - Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Minh Hoai, Dimitris Samaras:
Good View Hunting: Learning Photo Composition From Dense View Pairs. 5437-5446 - Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang:
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise. 5447-5456 - Shuai Li, Wanqing Li, Chris Cook, Ce Zhu, Yanbo Gao:
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN. 5457-5466 - Yaxing Wang, Joost van de Weijer, Luis Herranz:
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. 5467-5476 - Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson:
Structured Uncertainty Prediction Networks. 5477-5485 - Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada:
Between-Class Learning for Image Classification. 5486-5494 - Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino:
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. 5495-5504 - Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Generative Image Inpainting With Contextual Attention. 5505-5514 - Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
CSGNet: Neural Shape Parser for Constructive Solid Geometry. 5515-5523 - Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Conditional Image-to-Image Translation. 5524-5532 - D. Khuê Lê-Huu, Nikos Paragios:
Continuous Relaxation of MAP Inference: A Nonconvex Perspective. 5533-5541 - Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata:
Feature Generating Networks for Zero-Shot Learning. 5542-5551 - Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Joint Optimization Framework for Learning With Noisy Labels. 5552-5560 - Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing:
Convolutional Image Captioning. 5561-5570 - Zhanzhan Cheng, Yangliu Xu, Fan Bai, Yi Niu, Shiliang Pu, Shuigeng Zhou:
AON: Towards Arbitrarily-Oriented Text Recognition. 5571-5579 - Anton Mallasto, Aasa Feragen:
Wrapped Gaussian Process Regression on Riemannian Manifolds. 5580-5588 - Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas:
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. 5589-5597 - Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow:
DiverseNet: When One Right Answer Is Not Enough. 5598-5607