default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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