Table of Contents

• Deep Compositional Captioning: Describing Novel Object Categories without Paired Training DataLisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell. 1-10 [doi]
• Generation and Comprehension of Unambiguous Object DescriptionsJunhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy 0002. 11-20 [doi]
• Stacked Attention Networks for Image Question AnsweringZichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola. 21-29 [doi]
• Image Question Answering Using Convolutional Neural Network with Dynamic Parameter PredictionHyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han. 30-38 [doi]
• Neural Module NetworksJacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein. 39-48 [doi]
• Learning Deep Representations of Fine-Grained Visual DescriptionsScott E. Reed, Zeynep Akata, Honglak Lee, Bernt Schiele. 49-58 [doi]
• Multi-cue Zero-Shot Learning with Strong SupervisionZeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele. 59-68 [doi]
• Latent Embeddings for Zero-Shot ClassificationYongqin Xian, Zeynep Akata, Gaurav Sharma 0004, Quynh N. Nguyen, Matthias Hein 0001, Bernt Schiele. 69-77 [doi]
• One-Shot Learning of Scene Locations via Feature Trajectory TransferRoland Kwitt, Sebastian Hegenbart, Marc Niethammer. 78-86 [doi]
• Learning Attributes Equals Multi-Source Domain GeneralizationChuang Gan, Tianbao Yang, Boqing Gong. 87-97 [doi]
• Anticipating Visual Representations from Unlabeled VideoCarl Vondrick, Hamed Pirsiavash, Antonio Torralba. 98-106 [doi]
• Learning to Assign Orientations to Feature PointsKwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit. 107-116 [doi]
• Learning Dense Correspondence via 3D-Guided Cycle ConsistencyTinghui Zhou, Philipp Krähenbühl, Mathieu Aubry, Qi-Xing Huang, Alexei A. Efros. 117-126 [doi]
• The Global Patch ColliderShenlong Wang, Sean Ryan Fanello, Christoph Rhemann, Shahram Izadi, Pushmeet Kohli. 127-135 [doi]
• Joint Probabilistic Matching Using m-Best SolutionsSeyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid 0001. 136-145 [doi]
• Face Alignment Across Large Poses: A 3D SolutionXiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li. 146-155 [doi]
• Interactive Segmentation on RGBD Images via Cue SelectionJie Feng, Brian L. Price, Scott Cohen, Shih-Fu Chang. 156-164 [doi]
• Layered Scene Decomposition via the Occlusion-CRFChen Liu, Pushmeet Kohli, Yasutaka Furukawa. 165-173 [doi]
• Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground EmbeddingMichael Maire, Takuya Narihira, Stella X. Yu. 174-182 [doi]
• Weakly Supervised Object BoundariesAnna Khoreva, Rodrigo Benenson, Mohamed Omran, Matthias Hein 0001, Bernt Schiele. 183-192 [doi]
• Object Contour Detection with a Fully Convolutional Encoder-Decoder NetworkJimei Yang, Brian L. Price, Scott Cohen, Honglak Lee, Ming-Hsuan Yang 0001. 193-202 [doi]
• What Value Do Explicit High Level Concepts Have in Vision to Language Problems?Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony R. Dick, Anton van den Hengel. 203-212 [doi]
• Fast Detection of Curved Edges at Low SNRNati Ofir, Meirav Galun, Boaz Nadler, Ronen Basri. 213-221 [doi]
• Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side OutputsWei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai. 222-230 [doi]
• Learning Relaxed Deep Supervision for Better Edge DetectionYu Liu, Michael S. Lew. 231-240 [doi]
• Occlusion Boundary Detection via Deep Exploration of ContextHuan Fu, Chaohui Wang, Dacheng Tao, Michael J. Black. 241-250 [doi]
• SemiContour: A Semi-Supervised Learning Approach for Contour DetectionZizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang. 251-259 [doi]
• Learning to Localize Little LandmarksSaurabh Singh, Derek Hoiem, David A. Forsyth. 260-269 [doi]
• InterActive: Inter-Layer Activeness PropagationLingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, Qi Tian. 270-279 [doi]
• Exploit Bounding Box Annotations for Multi-Label Object RecognitionHao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai. 280-288 [doi]
• TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural NetworksDmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys. 289-297 [doi]
• Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature ExtractionEdgar Simo-Serra, Hiroshi Ishikawa. 298-307 [doi]
• Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture AnalysisYuhui Quan, Chenglong Bao, Hui Ji. 308-316 [doi]
• Compact Bilinear PoolingYang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell. 317-326 [doi]
• Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple ScalesTsun-Yi Yang, Yen-Yu Lin, Yung-Yu Chuang. 327-335 [doi]
• CoMaL: Good Features to Match on Object BoundariesSwarna Kamlam Ravindran, Anurag Mittal. 336-345 [doi]
• Progressive Feature Matching with Alternate Descriptor Selection and Correspondence EnrichmentYuan-Ting Hu, Yen-Yu Lin. 346-354 [doi]
• A New Finsler Minimal Path Model with Curvature Penalization for Image Segmentation and Closed Contour DetectionDa Chen, Jean-Marie Mirebeau, Laurent D. Cohen. 355-363 [doi]
• Scale-Aware Alignment of Hierarchical Image SegmentationYuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc J. Van Gool. 364-372 [doi]
• Deep Interactive Object SelectionNing Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang. 373-381 [doi]
• Pull the Plug? Predicting If Computers or Humans Should Segment ImagesDanna Gurari, Suyog Dutt Jain, Margrit Betke, Kristen Grauman. 382-391 [doi]
• In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region SegmentationYuka Kihara, Matvey Soloviev, Tsuhan Chen. 392-401 [doi]
• Convexity Shape Constraints for Image SegmentationLoïc Alain Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller. 402-410 [doi]
• MCMC Shape Sampling for Image Segmentation with Nonparametric Shape PriorsErtunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen. 411-419 [doi]
• From Noise Modeling to Blind Image DenoisingFengyuan Zhu, Guangyong Chen, Pheng-Ann Heng. 420-429 [doi]
• Efficient and Robust Color Consistency for Community Photo CollectionsJaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In-So Kweon. 430-438 [doi]
• Needle-Match: Reliable Patch Matching under High UncertaintyOr Lotan, Michal Irani. 439-448 [doi]
• ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed MeasurementsKuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok. 449-458 [doi]
• Soft-Segmentation Guided Object Motion DeblurringJin-shan Pan, Zhe Hu, Zhixun Su, Hsin-Ying Lee, Ming-Hsuan Yang 0001. 459-468 [doi]
• Two Illuminant Estimation and User Correction PreferenceDongliang Cheng, Abdelrahman Kamel, Brian L. Price, Scott Cohen, Michael S. Brown. 469-477 [doi]
• Deep Contrast Learning for Salient Object DetectionGuanbin Li, Yizhou Yu. 478-487 [doi]
• Multiview Image Completion with Space Structure PropagationSeung-Hwan Baek, Inchang Choi, Min H. Kim. 488-496 [doi]
• Composition-Preserving Deep Photo Aesthetics AssessmentLong Mai, Hailin Jin, Feng Liu. 497-506 [doi]
• Automatic Image Cropping: A Computational Complexity StudyJiansheng Chen, Gaocheng Bai, Shaoheng Liang, Zhengqin Li. 507-515 [doi]
• A Deeper Look at Saliency: Feature Contrast, Semantics, and BeyondNeil D. B. Bruce, Christopher Catton, Sasa Janjic. 516-524 [doi]
• Spatially Binned ROC: A Comprehensive Saliency MetricCalden Wloka, John Tstotsos. 525-534 [doi]
• GraB: Visual Saliency via Novel Graph Model and Background PriorsQiaosong Wang, Wen Zheng, Robinson Piramuthu. 535-543 [doi]
• Predicting When Saliency Maps are Accurate and Eye Fixations ConsistentAnna Volokitin, Michael Gygli, Xavier Boix. 544-552 [doi]
• Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style TransferOriel Frigo, Neus Sabater, Julie Delon, Pierre Hellier. 553-561 [doi]
• Detection and Accurate Localization of Circular Fiducials under Highly Challenging ConditionsLilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini. 562-570 [doi]
• Scene Recognition with CNNs: Objects, Scales and Dataset BiasLuis Herranz, Shuqiang Jiang, Xiangyang Li. 571-579 [doi]
• Learning Action Maps of Large Environments via First-Person VisionNicholas Rhinehart, Kris Makoto Kitani. 580-588 [doi]
• Single-Image Crowd Counting via Multi-Column Convolutional Neural NetworkYingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma. 589-597 [doi]
• Shallow and Deep Convolutional Networks for Saliency PredictionJunting Pan, Elisa Sayrol, Xavier Giró i Nieto, Kevin McGuinness, Noel E. O'Connor. 598-606 [doi]
• Sample and Filter: Nonparametric Scene Parsing via Efficient FilteringMohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson. 607-615 [doi]
• DeLay: Robust Spatial Layout Estimation for Cluttered Indoor ScenesSaumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese. 616-624 [doi]
• A Text Detection System for Natural Scenes with Convolutional Feature Learning and Cascaded ClassificationSiyu Zhu, Richard Zanibbi. 625-632 [doi]
• Reversible Recursive Instance-Level Object SegmentationXiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan. 633-641 [doi]
• Coherent Parametric Contours for Interactive Video Object SegmentationYao Lu, Xue Bai, Linda G. Shapiro, Jue Wang. 642-650 [doi]
• Manifold SLIC: A Fast Method to Compute Content-Sensitive SuperpixelsYong-Jin Liu, Cheng-Chi Yu, Minjing Yu, Ying He 0001. 651-659 [doi]
• Deep Saliency with Encoded Low Level Distance Map and High Level FeaturesGayoung Lee, Yu-Wing Tai, Junmo Kim. 660-668 [doi]
• Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFsZiyu Zhang, Sanja Fidler, Raquel Urtasun. 669-677 [doi]
• DHSNet: Deep Hierarchical Saliency Network for Salient Object DetectionNian Liu, Junwei Han. 678-686 [doi]
• Object Co-segmentation via Graph Optimized-Flexible Manifold RankingRong-Quan, Junwei Han, Dingwen Zhang, Feiping Nie. 687-695 [doi]
• Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background DistributionsWon-Dong Jang, Chulwoo Lee, Chang-Su Kim. 696-704 [doi]
• Automatic Fence Segmentation in Videos of Dynamic ScenesRenjiao Yi, Jue Wang, Ping Tan. 705-713 [doi]
• Discovering the Physical Parts of an Articulated Object Class from Multiple VideosLuca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari. 714-723 [doi]
• A Benchmark Dataset and Evaluation Methodology for Video Object SegmentationFederico Perazzi, Jordi Pont-Tuset, B. McWilliams, Luc J. Van Gool, Markus H. Gross, Alexander Sorkine-Hornung. 724-732 [doi]
• Learning Temporal Regularity in Video SequencesMahmudul Hasan 0003, Jonghyun Choi, Jan Neumann, Amit K. Roy Chowdhury, Larry S. Davis. 733-742 [doi]
• Bilateral Space Video SegmentationNicolas Marki, Federico Perazzi, Oliver Wang, Alexander Sorkine-Hornung. 743-751 [doi]
• ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory ClusteringZhang Zhang, Kaiqi Huang, Tieniu Tan, Peipei Yang, Jun Li. 752-760 [doi]
• Training Region-Based Object Detectors with Online Hard Example MiningAbhinav Shrivastava, Abhinav Gupta, Ross B. Girshick. 761-769 [doi]
• Deep Residual Learning for Image RecognitionKaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. 770-778 [doi]
• You Only Look Once: Unified, Real-Time Object DetectionJoseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi. 779-788 [doi]
• LocNet: Improving Localization Accuracy for Object DetectionSpyros Gidaris, Nikos Komodakis. 789-798 [doi]
• Sketch Me That ShoeQian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy. 799-807 [doi]
• Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D ImagesShuran Song, Jianxiong Xiao. 808-816 [doi]
• Object Detection from Video Tubelets with Convolutional Neural NetworksKai Kang, Wanli Ouyang, Hongsheng Li, Xiaogang Wang. 817-825 [doi]
• Learning with Side Information through Modality HallucinationJudy Hoffman, Saurabh Gupta, Trevor Darrell. 826-834 [doi]
• Object-Proposal Evaluation Protocol is 'Gameable'Neelima Chavali, Harsh Agrawal, Aroma Mahendru, Dhruv Batra. 835-844 [doi]
• HyperNet: Towards Accurate Region Proposal Generation and Joint Object DetectionTao Kong, Anbang Yao, Yurong Chen, Fuchun Sun. 845-853 [doi]
• We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human VerificationDim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari. 854-863 [doi]
• Factors in Finetuning Deep Model for Object Detection with Long-Tail DistributionWanli Ouyang, Xiaogang Wang, Cong Zhang, Xiaokang Yang. 864-873 [doi]
• Information-Driven Adaptive Structured-Light ScannersGuy Rosman, Daniela Rus, John W. Fisher III. 874-883 [doi]
• Simultaneous Optical Flow and Intensity Estimation from an Event CameraPatrick Bardow, Andrew J. Davison, Stefan Leutenegger. 884-892 [doi]
• Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-FlightAchuta Kadambi, Jamie Schiel, Ramesh Raskar. 893-902 [doi]
• ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive PixelsHuaijin G. Chen, Suren Jayasuriya, Jiyue Yang, Judy Stephen, Sriram Sivaramakrishnan, Ashok Veeraraghavan, Alyosha C. Molnar. 903-912 [doi]
• Computational Imaging for VLBI Image ReconstructionKatherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman. 913-922 [doi]
• You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and ImagesChuang Gan, Ting Yao, Kuiyuan Yang, Yi Yang, Tao Mei. 923-932 [doi]
• Track and Segment: An Iterative Unsupervised Approach for Video Object ProposalsFanyi Xiao, Yong Jae Lee. 933-942 [doi]
• Beyond Local Search: Tracking Objects Everywhere with Instance-Specific ProposalsGao Zhu, Fatih Porikli, Hongdong Li. 943-951 [doi]
• Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image SequencesHongkai Yu, Youjie Zhou, Jeff P. Simmons, Craig P. Przybyla, Yuewei Lin, Xiaochuan Fan, Yang Mi, Song Wang. 952-960 [doi]
• Social LSTM: Human Trajectory Prediction in Crowded SpacesAlexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Fei-Fei Li, Silvio Savarese. 961-971 [doi]
• What Players do with the Ball: A Physically Constrained Interaction ModelingAndrii Maksai, Xinchao Wang, Pascal Fua. 972-981 [doi]
• Highlight Detection with Pairwise Deep Ranking for First-Person Video SummarizationTing Yao, Tao Mei, Yong Rui. 982-990 [doi]
• Direct Prediction of 3D Body Poses from Motion Compensated SequencesBugra Tekin, Artem Rozantsev, Vincent Lepetit, Pascal Fua. 991-1000 [doi]
• Video2GIF: Automatic Generation of Animated GIFs from VideoMichael Gygli, Yale Song, Liangliang Cao. 1001-1009 [doi]
• NTU RGB+D: A Large Scale Dataset for 3D Human Activity AnalysisAmir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang. 1010-1019 [doi]
• Progressively Parsing Interactional Objects for Fine Grained Action DetectionBingbing Ni, Xiaokang Yang, Shenghua Gao. 1020-1028 [doi]
• Hierarchical Recurrent Neural Encoder for Video Representation with Application to CaptioningPingbo Pan, Zhongwen Xu, Yi Yang, Fei Wu, Yueting Zhuang. 1029-1038 [doi]
• From Keyframes to Key Objects: Video Summarization by Representative Object Proposal SelectionJingjing Meng, Hongxing Wang, Junsong Yuan, Yap-Peng Tan. 1039-1048 [doi]
• Temporal Action Localization in Untrimmed Videos via Multi-stage CNNsZheng Shou, Dongang Wang, Shih-Fu Chang. 1049-1058 [doi]
• Summary Transfer: Exemplar-Based Subset Selection for Video SummarizationKe Zhang, Wei-Lun Chao, Fei Sha, Kristen Grauman. 1059-1067 [doi]
• POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object ModelsYeong Jun Koh, Won-Dong Jang, Chang-Su Kim. 1068-1076 [doi]
• What If We Do Not have Multiple Videos of the Same Action? - Video Action Localization Using Web ImagesWaqas Sultani, Mubarak Shah. 1077-1085 [doi]
• Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups from Static ImagesLu Zhang, Hayley Hung. 1086-1095 [doi]
• DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich AnnotationsZiwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang. 1096-1104 [doi]
• SketchNet: Sketch Classification with Web ImagesHua Zhang 0008, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao. 1105-1113 [doi]
• Embedding Label Structures for Fine-Grained Feature RepresentationXiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang. 1114-1123 [doi]
• Fine-Grained Image Classification by Exploring Bipartite-Graph LabelsFeng Zhou, Yuanqing Lin. 1124-1133 [doi]
• Picking Deep Filter Responses for Fine-Grained Image RecognitionXiaopeng Zhang 0001, Hongkai Xiong, Wengang Zhou, Weiyao Lin, Qi Tian. 1134-1142 [doi]
• SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained RecognitionHan Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas. 1143-1152 [doi]
• Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the LoopYin Cui, Feng Zhou, Yuanqing Lin, Serge J. Belongie. 1153-1162 [doi]
• Mining Discriminative Triplets of Patches for Fine-Grained ClassificationYaming Wang, Jonghyun Choi, Vlad I. Morariu, Larry S. Davis. 1163-1172 [doi]
• Part-Stacked CNN for Fine-Grained Visual CategorizationShaoli Huang, Zhe Xu, Dacheng Tao, Ya Zhang. 1173-1182 [doi]
• Learning Compact Binary Descriptors with Unsupervised Deep Neural NetworksKevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou. 1183-1192 [doi]
• Solving Small-Piece Jigsaw Puzzles by Growing ConsensusKilho Son, Daniel Moreno, James Hays, David B. Cooper. 1193-1201 [doi]
• Pairwise Matching through Max-Weight Bipartite Belief PropagationZhen Zhang, Qinfeng Shi, Julian J. McAuley, Wei Wei, Yanning Zhang, Anton van den Hengel. 1202-1210 [doi]
• Structured Feature Similarity with Explicit Feature MapTakumi Kobayashi. 1211-1219 [doi]
• Temporal Epipolar RegionsMor Dar, Yael Moses. 1220-1228 [doi]
• Recurrent Attention Models for Depth-Based Person IdentificationAlbert Haque, Alexandre Alahi, Li Fei-Fei. 1229-1238 [doi]
• Learning a Discriminative Null Space for Person Re-identificationLi Zhang, Tao Xiang, Shaogang Gong. 1239-1248 [doi]
• Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identificationTong Xiao, Hongsheng Li, Wanli Ouyang, Xiaogang Wang. 1249-1258 [doi]
• How Far are We from Solving Pedestrian Detection?Shanshan Zhang, Rodrigo Benenson, Mohamed Omran, Jan Hendrik Hosang, Bernt Schiele. 1259-1267 [doi]
• Similarity Learning with Spatial Constraints for Person Re-identificationDapeng Chen, Zejian Yuan, Badong Chen, Nanning Zheng. 1268-1277 [doi]
• Sample-Specific SVM Learning for Person Re-identificationYing Zhang, Baohua Li, Huchuan Lu, Atshushi Irie, Xiang Ruan. 1278-1287 [doi]
• Joint Learning of Single-Image and Cross-Image Representations for Person Re-identificationFaqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, Lei Zhang. 1288-1296 [doi]
• A Multi-level Contextual Model for Person Recognition in Photo AlbumsHaoxiang Li, Jonathan Brandt, Zhe Lin 0001, Xiaohui Shen, Gang Hua. 1297-1305 [doi]
• Unsupervised Cross-Dataset Transfer Learning for Person Re-identificationPeixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, YongHong Tian. 1306-1315 [doi]
• Pedestrian Detection Inspired by Appearance Constancy and Shape SymmetryJiale Cao, Yanwei Pang, Xuelong Li. 1316-1324 [doi]
• Recurrent Convolutional Network for Video-Based Person Re-identificationNiall McLaughlin, Jesús Martínez del Rincón, Paul C. Miller. 1325-1334 [doi]
• Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss FunctionDe Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng. 1335-1344 [doi]
• Top-Push Video-Based Person Re-identificationJinjie You, Ancong Wu, Xiang Li, Wei-Shi Zheng. 1345-1353 [doi]
• Improving Person Re-identification via Pose-Aware Multi-shot MatchingYeong-Jun Cho, Kuk-Jin Yoon. 1354-1362 [doi]
• Hierarchical Gaussian Descriptor for Person Re-identificationTetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato. 1363-1372 [doi]
• STCT: Sequentially Training Convolutional Networks for Visual TrackingLijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu. 1373-1381 [doi]
• Determining Occlusions from Space and Time Image ReconstructionsJuan-Manuel Perez-Rua, Tomás Crivelli, Patrick Bouthemy, Patrick Pérez. 1382-1391 [doi]
• Online Multi-object Tracking via Structural Constraint Event AggregationJu Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang 0001, Kuk-Jin Yoon. 1392-1400 [doi]
• Staple: Complementary Learners for Real-Time TrackingLuca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr. 1401-1409 [doi]
• Robust Optical Flow Estimation of Double-Layer Images under Transparency or ReflectionJiaolong Yang, Hongdong Li, Yuchao Dai, Robby T. Tan. 1410-1419 [doi]
• Siamese Instance Search for TrackingRan Tao, Efstratios Gavves, Arnold W. M. Smeulders. 1420-1429 [doi]
• Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual TrackingMartin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg. 1430-1438 [doi]
• 3D Part-Based Sparse Tracker with Automatic Synchronization and RegistrationAdel Bibi, Tianzhu Zhang, Bernard Ghanem. 1439-1448 [doi]
• Recurrently Target-Attending TrackingZhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan. 1449-1458 [doi]
• Structured Regression Gradient BoostingFerran Diego, Fred A. Hamprecht. 1459-1467 [doi]
• Loss Functions for Top-k Error: Analysis and InsightsMaksim Lapin, Matthias Hein 0001, Bernt Schiele. 1468-1477 [doi]
• Metric Learning as Convex Combinations of Local Models with Generalization GuaranteesValentina Zantedeschi, Rémi Emonet, Marc Sebban. 1478-1486 [doi]
• Efficient Training of Very Deep Neural Networks for Supervised HashingZiming Zhang, Yuting Chen, Venkatesh Saligrama. 1487-1495 [doi]
• Information Bottleneck Learning Using Privileged Information for Visual RecognitionSaeid Motiian, Marco Piccirilli, Donald A. Adjeroh, Gianfranco Doretto. 1496-1505 [doi]
• 3D Action Recognition from Novel ViewpointsHossein Rahmani, Ajmal S. Mian. 1506-1515 [doi]
• 3D Shape AttributesDavid F. Fouhey, Abhinav Gupta, Andrew Zisserman. 1516-1524 [doi]
• Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented GradientsZhile Ren, Erik B. Sudderth. 1525-1533 [doi]
• 3D Semantic Parsing of Large-Scale Indoor SpacesIro Armeni, Ozan Sener, Amir Roshan Zamir, Helen Jiang, Ioannis K. Brilakis, Martin Fischer, Silvio Savarese. 1534-1543 [doi]
• Dense Human Body Correspondences Using Convolutional NetworksLingyu Wei, Qixing Huang, Duygu Ceylan, Etienne Vouga, Hao Li. 1544-1553 [doi]
• Geometry-Informed Material RecognitionJoseph DeGol, Mani Golparvar Fard, Derek Hoiem. 1554-1562 [doi]
• Towards Open Set Deep NetworksAbhijit Bendale, Terrance E. Boult. 1563-1572 [doi]
• What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score DistributionPeng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen. 1573-1581 [doi]
• Large-Scale Location Recognition and the Geometric Burstiness ProblemTorsten Sattler, Michal Havlena, Konrad Schindler, Marc Pollefeys. 1582-1590 [doi]
• Regularity-Driven Building Facade Matching between Aerial and Street ViewsMark Wolff, Robert T. Collins, Yanxi Liu. 1591-1600 [doi]
• Do Computational Models Differ Systematically from Human Object Perception?R. T. Pramod, S. P. Arun. 1601-1609 [doi]
• Contour Detection in Unstructured 3D Point CloudsTimo Hackel, Jan Dirk Wegner, Konrad Schindler. 1610-1618 [doi]
• Unsupervised Learning of EdgesYin Li, Manohar Paluri, James M. Rehg, Piotr Dollár. 1619-1627 [doi]
• Blind Image Deblurring Using Dark Channel PriorJin-shan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang 0001. 1628-1636 [doi]
• Deeply-Recursive Convolutional Network for Image Super-ResolutionJiwon Kim, Jung Kwon Lee, Kyoung Mu Lee. 1637-1645 [doi]
• Accurate Image Super-Resolution Using Very Deep Convolutional NetworksJiwon Kim, Jung Kwon Lee, Kyoung Mu Lee. 1646-1654 [doi]
• RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image with Only 64 KB OverheadRang M. H. Nguyen, Michael S. Brown. 1655-1663 [doi]
• Group MAD Competition? A New Methodology to Compare Objective Image Quality ModelsKede Ma, Qingbo Wu, Zhou Wang, Zhengfang Duanmu, Hongwei Yong, Hongliang Li, Lei Zhang. 1664-1673 [doi]
• Non-local Image DehazingDana Berman, Tali Treibitz, Shai Avidan. 1674-1682 [doi]
• A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image DenoisingSeonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita, Seon Joo Kim. 1683-1691 [doi]
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• Supervised Quantization for Similarity SearchXiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang. 2018-2026 [doi]
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• Efficient Indexing of Billion-Scale Datasets of Deep DescriptorsArtem Babenko, Victor S. Lempitsky. 2055-2063 [doi]
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• Efficient Large-Scale Similarity Search Using Matrix FactorizationAhmet Iscen, Michael G. Rabbat, Teddy Furon. 2073-2081 [doi]
• Incremental Object Discovery in Time-Varying Image CollectionsTheodora Kontogianni, Markus Mathias, Bastian Leibe. 2082-2090 [doi]
• Detecting Migrating Birds at NightJia-Bin Huang, Rich Caruana, Andrew Farnsworth, Steve Kelling, Narendra Ahuja. 2091-2099 [doi]
• When Naïve Bayes Nearest Neighbors Meet Convolutional Neural NetworksIlja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo. 2100-2109 [doi]
• Traffic-Sign Detection and Classification in the WildZhe Zhu, Dun Liang, Song-Hai Zhang, Xiaolei Huang, Baoli Li, Shi-Min Hu. 2110-2118 [doi]
• Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge TransferYuXing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandréa, Robert J. Gaizauskas, Liming Chen. 2119-2128 [doi]
• Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection ClassifiersFan Yang, Wongun Choi, Yuanqing Lin. 2129-2137 [doi]
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• Monocular 3D Object Detection for Autonomous DrivingXiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, Raquel Urtasun. 2147-2156 [doi]
• How Hard Can It Be? Estimating the Difficulty of Visual Search in an ImageRadu-Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari. 2157-2166 [doi]
• Deep Relative Distance Learning: Tell the Difference between Similar VehiclesHongye Liu, YongHong Tian, Yaowei Wang, Lu Pang, Tiejun Huang. 2167-2175 [doi]
• Eye Tracking for EveryoneKyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra M. Bhandarkar, Wojciech Matusik, Antonio Torralba. 2176-2184 [doi]
• Efficient Globally Optimal 2D-to-3D Deformable Shape MatchingZorah Lähner, Emanuele Rodolà, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers. 2185-2193 [doi]
• Ambiguity Helps: Classification with Disagreements in Crowdsourced AnnotationsViktoriia Sharmanska, Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Novi Quadrianto. 2194-2202 [doi]
• A Task-Oriented Approach for Cost-Sensitive RecognitionRoozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi. 2203-2211 [doi]
• Refining Architectures of Deep Convolutional Neural NetworksSukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla. 2212-2220 [doi]
• iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep LearningAli Borji, Saeed Izadi, Laurent Itti. 2221-2230 [doi]
• Recursive Recurrent Nets with Attention Modeling for OCR in the WildChen-Yu Lee, Simon Osindero. 2231-2239 [doi]
• Deep Decision Network for Multi-class Image ClassificationVenkatesh N. Murthy, Vivek Singh, Terrence Chen, R. Manmatha, Dorin Comaniciu. 2240-2248 [doi]
• Less is More: Zero-Shot Learning from Online Textual Documents with Noise SuppressionRuizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel. 2249-2257 [doi]
• Fast Algorithms for Linear and Kernel SVM+Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool. 2258-2266 [doi]
• Hierarchically Gated Deep Networks for Semantic SegmentationGuo-Jun Qi. 2267-2275 [doi]
• Deep Structured Scene Parsing by Learning with Image DescriptionsLiang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo. 2276-2284 [doi]
• CNN-RNN: A Unified Framework for Multi-label Image ClassificationJiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu. 2285-2294 [doi]
• Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual DataJing Wang, Yu Cheng, Rogério Schmidt Feris. 2295-2304 [doi]
• CNN-N-Gram for HandwritingWord RecognitionArik Poznanski, Lior Wolf. 2305-2314 [doi]
• Synthetic Data for Text Localisation in Natural ImagesAnkush Gupta, Andrea Vedaldi, Andrew Zisserman. 2315-2324 [doi]
• End-to-End People Detection in Crowded ScenesRussell Stewart, Mykhaylo Andriluka, Andrew Y. Ng. 2325-2333 [doi]
• Real-Time Salient Object Detection with a Minimum Spanning TreeWei-Chih Tu, Shengfeng He, Qingxiong Yang, Shao-Yi Chien. 2334-2342 [doi]
• Local Background Enclosure for RGB-D Salient Object DetectionDavid Feng, Nick Barnes, Shaodi You, Chris McCarthy. 2343-2350 [doi]
• Adaptive Object Detection Using Adjacency and Zoom PredictionYongxi Lu, Tara Javidi, Svetlana Lazebnik. 2351-2359 [doi]
• Semantic Channels for Fast Pedestrian DetectionArthur Daniel Costea, Sergiu Nedevschi. 2360-2368 [doi]
• G-CNN: An Iterative Grid Based Object DetectorMahyar Najibi, Mohammad Rastegari, Larry S. Davis. 2369-2377 [doi]
• Recurrent Face AgingWei Wang, Zhen Cui, Yan Yan, Jiashi Feng, Shuicheng Yan, Xiangbo Shu, Nicu Sebe. 2378-2386 [doi]
• Face2Face: Real-Time Face Capture and Reenactment of RGB VideosJustus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner. 2387-2395 [doi]
• Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic ConditionsSergey Tulyakov, Xavier Alameda-Pineda, Elisa Ricci, Lijun Yin, Jeffrey F. Cohn, Nicu Sebe. 2396-2404 [doi]
• Visually Indicated SoundsAndrew Owens, Phillip Isola, Josh H. McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman. 2405-2413 [doi]
• Image Style Transfer Using Convolutional Neural NetworksLeon A. Gatys, Alexander S. Ecker, Matthias Bethge. 2414-2423 [doi]
• Patch-Based Convolutional Neural Network for Whole Slide Tissue Image ClassificationLe Hou, Dimitris Samaras, Tahsin M. Kurç, Yi Gao, James E. Davis, Joel H. Saltz. 2424-2433 [doi]
• Hedgehog Shape Priors for Multi-Object SegmentationHossam N. Isack, Olga Veksler, Milan Sonka, Yuri Boykov. 2434-2442 [doi]
• Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh. 2443-2451 [doi]
• Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface GeometryGyeongmin Choe, Srinivasa G. Narasimhan, In-So Kweon. 2452-2460 [doi]
• Do It Yourself Hyperspectral Imaging with Everyday Digital CamerasSeoung Wug Oh, Michael S. Brown, Marc Pollefeys, Seon Joo Kim. 2461-2469 [doi]
• Automatic Content-Aware Color and Tone StylizationJoon-Young Lee, Kalyan Sunkavalli, Zhe Lin 0001, Xiaohui Shen, In-So Kweon. 2470-2478 [doi]
• Combining Markov Random Fields and Convolutional Neural Networks for Image SynthesisChuan Li, Michael Wand. 2479-2486 [doi]
• DCAN: Deep Contour-Aware Networks for Accurate Gland SegmentationHao Chen 0011, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng. 2487-2496 [doi]
• Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image AnnotationHoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers. 2497-2506 [doi]
• Conformal Surface Alignment with Optimal Möbius SearchHuu Le, Tat-Jun Chin, David Suter. 2507-2516 [doi]
• Coupled Harmonic Bases for Longitudinal Characterization of Brain NetworksSeong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh. 2517-2525 [doi]
• Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural NetworksJae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang. 2526-2535 [doi]
• Context Encoders: Feature Learning by InpaintingDeepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros. 2536-2544 [doi]
• Comparative Deep Learning of Hybrid Representations for Image RecommendationsChenyi Lei, Dong Liu, Weiping Li, Zheng-Jun Zha, Houqiang Li. 2545-2553 [doi]
• Fast ConvNets Using Group-Wise Brain DamageVadim Lebedev, Victor S. Lempitsky. 2554-2564 [doi]
• Learning to Co-Generate Object Proposals with a Deep Structured NetworkZeeshan Hayder, Xuming He, Mathieu Salzmann. 2565-2573 [doi]
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• Blockout: Dynamic Model Selection for Hierarchical Deep NetworksCalvin Murdock, Zhen Li, Howard Zhou, Tom Duerig. 2583-2591 [doi]
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• MDL-CW: A Multimodal Deep Learning Framework with CrossWeightsSarah Rastegar, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Seyed Mohsen Shojaee. 2601-2609 [doi]
• Structured Receptive Fields in CNNsJörn-Henrik Jacobsen, Jan C. van Gemert, Zhongyu Lou, Arnold W. M. Smeulders. 2610-2619 [doi]
• First Person Action Recognition Using Deep Learned DescriptorsSuriya Singh, Chetan Arora, C. V. Jawahar. 2620-2628 [doi]
• Recognizing Micro-Actions and Reactions from Paired Egocentric VideosRyo Yonetani, Kris M. Kitani, Yoichi Sato. 2629-2638 [doi]
• Mining 3D Key-Pose-Motifs for Action RecognitionChun-yu Wang, Yizhou Wang, Alan L. Yuille. 2639-2647 [doi]
• Predicting the Where and What of Actors and Actions through Online Action LocalizationKhurram Soomro, Haroon Idrees, Mubarak Shah. 2648-2657 [doi]
• Actions ~ TransformationsXiaolong Wang, Ali Farhadi, Abhinav Gupta. 2658-2667 [doi]
• Visual Path Prediction in Complex Scenes with Crowded Moving ObjectsYoung Joon Yoo, Kimin Yun, Sangdoo Yun, Jonghee Hong, Hawook Jeong, Jin-Young Choi. 2668-2677 [doi]
• End-to-End Learning of Action Detection from Frame Glimpses in VideosSerena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei. 2678-2687 [doi]
• Action Recognition in Video Using Sparse Coding and Relative FeaturesAnalí Alfaro, Domingo Mery, Alvaro Soto. 2688-2697 [doi]
• Improving Human Action Recognition by Non-action ClassificationYang Wang, Minh Hoai. 2698-2707 [doi]
• Actionness Estimation Using Hybrid Fully Convolutional NetworksLimin Wang, Yu Qiao 0001, Xiaoou Tang, Luc J. Van Gool. 2708-2717 [doi]
• Real-Time Action Recognition with Enhanced Motion Vector CNNsBowen Zhang, Limin Wang, Zhe Wang, Yu Qiao 0001, Hanli Wang. 2718-2726 [doi]
• Laplacian Patch-Based Image SynthesisJoo-Ho Lee, Inchang Choi, Min H. Kim. 2727-2735 [doi]
• Rain Streak Removal Using Layer PriorsYu Li, Robby T. Tan, Xiaojie Guo, Jiangbo Lu, Michael S. Brown. 2736-2744 [doi]
• Gradient-Domain Image Reconstruction Framework with Intensity-Range and Base-Structure ConstraintsTakashi Shibata, Masayuki Tanaka 0001, Masatoshi Okutomi. 2745-2753 [doi]
• Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix CompletionJialei Wang, Peder A. Olsen, Andrew R. Conn, Aurelie C. Lozano. 2754-2763 [doi]
• D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed ImagesZhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang. 2764-2772 [doi]
• From Bows to Arrows: Rolling Shutter Rectification of Urban ScenesVijay Rengarajan, A. N. Rajagopalan, Rangarajan Aravind. 2773-2781 [doi]
• A Weighted Variational Model for Simultaneous Reflectance and Illumination EstimationXueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang, Xinghao Ding. 2782-2790 [doi]
• Visualizing and Understanding Deep Texture RepresentationsTsung-Yu Lin, Subhransu Maji. 2791-2799 [doi]
• Robust Kernel Estimation with Outliers Handling for Image DeblurringJin-shan Pan, Zhouchen Lin, Zhixun Su, Ming-Hsuan Yang 0001. 2800-2808 [doi]
• Online Collaborative Learning for Open-Vocabulary Visual ClassifiersHanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huan-Bo Luan, Tat-Seng Chua. 2809-2817 [doi]
• Rethinking the Inception Architecture for Computer VisionChristian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna. 2818-2826 [doi]
• Cross Modal Distillation for Supervision TransferSaurabh Gupta, Judy Hoffman, Jitendra Malik. 2827-2836 [doi]
• Efficient Point Process Inference for Large-Scale Object DetectionTrung T. Pham, Seyed Hamid Rezatofighi, Ian D. Reid 0001, Tat-Jun Chin. 2837-2845 [doi]
• Weakly Supervised Deep Detection NetworksHakan Bilen, Andrea Vedaldi. 2846-2854 [doi]
• BORDER: An Oriented Rectangles Approach to Texture-Less Object RecognitionJacob Chan, Jimmy Addison Lee, Qian Kemao. 2855-2863 [doi]
• Active Image Segmentation PropagationSuyog Dutt Jain, Kristen Grauman. 2864-2873 [doi]
• Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural NetworksSean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick. 2874-2883 [doi]
• RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object DetectionGong Cheng, Peicheng Zhou, Junwei Han. 2884-2893 [doi]
• Reinforcement Learning for Visual Object DetectionStefan Mathe, Aleksis Pirinen, Cristian Sminchisescu. 2894-2902 [doi]
• Detecting Repeating Objects Using Patch Correlation AnalysisInbar Huberman, Raanan Fattal. 2903-2911 [doi]
• Analyzing Classifiers: Fisher Vectors and Deep Neural NetworksSebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek. 2912-2920 [doi]
• Learning Deep Features for Discriminative LocalizationBolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba. 2921-2929 [doi]
• Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric LabelsIshan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick. 2930-2939 [doi]
• Learning Aligned Cross-Modal Representations from Weakly Aligned DataLluis Castrejon, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba. 2940-2949 [doi]
• A Probabilistic Collaborative Representation Based Approach for Pattern ClassificationSijia Cai, Lei Zhang, Wangmeng Zuo, Xiangchu Feng. 2950-2959 [doi]
• Learning Structured Inference Neural Networks with Label RelationsHexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori. 2960-2968 [doi]
• Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene RecognitionHongyuan Zhu, Jean-Baptiste Weibel, Shijian Lu. 2969-2976 [doi]
• Conditional Graphical Lasso for Multi-label Image ClassificationQiang Li, Maoying Qiao, Wei Bian, Dacheng Tao. 2977-2986 [doi]
• Region Ranking SVM for Image ClassificationZijun Wei, Minh Hoai. 2987-2996 [doi]
• Predicting Motivations of Actions by Leveraging TextCarl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba. 2997-3005 [doi]
• BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle RecognitionJakub Sochor, Adam Herout, Jirí Havel. 3006-3015 [doi]
• Highway Vehicle Counting in Compressed DomainXu Liu, Zilei Wang, Jiashi Feng, Hongsheng Xi. 3016-3024 [doi]
• Camera Calibration from Periodic Motion of a PedestrianShiyao Huang, Xianghua Ying, Jiangpeng Rong, Zeyu Shang, Hongbin Zha. 3025-3033 [doi]
• Dynamic Image Networks for Action RecognitionHakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould. 3034-3042 [doi]
• Detecting Events and Key Actors in Multi-person VideosVignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy 0002, Li Fei-Fei. 3043-3053 [doi]
• Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action RecognitionBehrooz Mahasseni, Sinisa Todorovic. 3054-3062 [doi]
• Personalizing Human Video Pose EstimationJames Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman. 3063-3072 [doi]
• End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose EstimationWei Yang, Wanli Ouyang, Hongsheng Li, Xiaogang Wang. 3073-3082 [doi]
• Actor-Action Semantic Segmentation with Grouping Process ModelsChenliang Xu, Jason J. Corso. 3083-3092 [doi]
• Temporal Action Localization with Pyramid of Score Distribution FeaturesJun Yuan, Bingbing Ni, Xiaokang Yang, Ashraf A. Kassim. 3093-3102 [doi]
• Recognizing Activities of Daily Living with a Wrist-Mounted CameraKatsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada. 3103-3111 [doi]
• Harnessing Object and Scene Semantics for Large-Scale Video UnderstandingZuxuan Wu, Yanwei Fu, Yu-Gang Jiang, Leonid Sigal. 3112-3121 [doi]
• Video-Story Composition via Plot AnalysisJinSoo Choi, Tae Hyun Oh, In-So Kweon. 3122-3130 [doi]
• Temporal Action Detection Using a Statistical Language ModelAlexander Richard, Juergen Gall. 3131-3140 [doi]
• Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and SegmentationShu Liu, Xiaojuan Qi, Jianping Shi, Hong Zhang, Jiaya Jia. 3141-3149 [doi]
• Instance-Aware Semantic Segmentation via Multi-task Network CascadesJifeng Dai, Kaiming He, Jian Sun. 3150-3158 [doi]
• ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic SegmentationDi Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun. 3159-3167 [doi]
• Feature Space Optimization for Semantic Video SegmentationAbhijit Kundu, Vibhav Vineet, Vladlen Koltun. 3168-3175 [doi]
• Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric LabelingMaros Blaha, Christoph Vogel, Audrey Richard, Jan Dirk Wegner, Thomas Pock, Konrad Schindler. 3176-3184 [doi]
• Semantic Object Parsing with Local-Global Long Short-Term MemoryXiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan. 3185-3193 [doi]
• Efficient Piecewise Training of Deep Structured Models for Semantic SegmentationGuosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid. 3194-3203 [doi]
• Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural NetworkSeunghoon Hong, Junhyuk Oh, Honglak Lee, Bohyung Han. 3204-3212 [doi]
• The Cityscapes Dataset for Semantic Urban Scene UnderstandingMarius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, Bernt Schiele. 3213-3223 [doi]
• Gaussian Conditional Random Field Network for Semantic SegmentationRaviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu 0001, Rama Chellappa. 3224-3233 [doi]
• The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban ScenesGermán Ros, Laura Sellart, Joanna Materzynska, David Vázquez, Antonio M. Lopez. 3234-3243 [doi]
• Progressive Prioritized Multi-view StereoAlex Locher, Michal Perdoch, Luc Van Gool. 3244-3252 [doi]
• WarpNet: Weakly Supervised Matching for Single-View ReconstructionAngjoo Kanazawa, David W. Jacobs, Manmohan Chandraker. 3253-3261 [doi]
• What Sparse Light Field Coding Reveals about Scene StructureOle Johannsen, Antonin Sulc, Bastian Goldluecke. 3262-3270 [doi]
• Online Reconstruction of Indoor Scenes from RGB-D StreamsHao Wang, Jun Wang, Liang Wang. 3271-3279 [doi]
• Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D ReconstructionAli Osman Ulusoy, Michael J. Black, Andreas Geiger. 3280-3289 [doi]
• Single Image Camera Calibration with Lenticular Arrays for Augmented RealityIan Schillebeeckx, Robert Pless. 3290-3298 [doi]
• Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion CaptureDiego Thomas, Rin-ichiro Taniguchi. 3299-3308 [doi]
• Learned Binary Spectral Shape Descriptor for 3D Shape CorrespondenceJin Xie, Meng Wang, Yi Fang. 3309-3317 [doi]
• Multiple Models Fitting as a Set Coverage ProblemLuca Magri, Andrea Fusiello. 3318-3326 [doi]
• Piecewise-Planar 3D Approximation from Wide-Baseline StereoCédric Verleysen, Christophe De Vleeschouwer. 3327-3336 [doi]
• Sparse to Dense 3D Reconstruction from Rolling Shutter ImagesOlivier Saurer, Marc Pollefeys, Gim Hee Lee. 3337-3345 [doi]
• Consistency of Silhouettes and Their DualsMatthew Trager, Martial Hebert, Jean Ponce. 3346-3354 [doi]
• Rolling Shutter Absolute Pose Problem with Known Vertical DirectionCenek Albl, Zuzana Kukelova, Tomás Pajdla. 3355-3363 [doi]
• Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB ImageEric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother. 3364-3372 [doi]
• Multicamera Calibration from Visible and Mirrored EpipolesAndrey Bushnevskiy, Lorenzo Sorgi, Bodo Rosenhahn. 3373-3381 [doi]
• Joint Unsupervised Deformable Spatio-Temporal Alignment of SequencesLazaros Zafeiriou, Epameinondas Antonakos, Stefanos Zafeiriou, Maja Pantic. 3382-3390 [doi]
• Deep Region and Multi-label Learning for Facial Action Unit DetectionKaili Zhao, Wen-Sheng Chu, Honggang Zhang. 3391-3399 [doi]
• Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark DetectionYue Wu, Qiang Ji. 3400-3408 [doi]
• Unconstrained Face Alignment via Cascaded Compositional LearningShizhan Zhu, Cheng Li, Chen Change Loy, Xiaoou Tang. 3409-3417 [doi]
• Automated 3D Face Reconstruction from Multiple Images Using Quality MeasuresMarcel Piotraschke, Volker Blanz. 3418-3427 [doi]
• Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncodersJie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. 3428-3437 [doi]
• Multimodal Spontaneous Emotion Corpus for Human Behavior AnalysisZheng Zhang, Jeffrey M. Girard, Yue Wu, Xing Zhang, Peng Liu, Umur A. Ciftci, Shaun J. Canavan, Michael Reale, Andrew Horowitz, Huiyuan Yang, Jeffrey F. Cohn, Qiang Ji, Lijun Yin. 3438-3446 [doi]
• Learning Reconstruction-Based Remote Gaze EstimationPei Yu, Jiahuan Zhou, Ying Wu. 3447-3455 [doi]
• Joint Training of Cascaded CNN for Face DetectionHongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu. 3456-3465 [doi]
• Facial Expression Intensity Estimation Using Ordinal InformationRui Zhao, Quan Gan, Shangfei Wang, Qiang Ji. 3466-3474 [doi]
• Proposal FlowBumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce. 3475-3484 [doi]
• ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural NetworksChen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev. 3485-3493 [doi]
• Seeing Behind the Camera: Identifying the Authorship of a PhotographChristopher Thomas, Adriana Kovashka. 3494-3502 [doi]
• Material Classification Using Raw Time-of-Flight MeasurementsShuochen Su, Felix Heide, Robin Swanson, Jonathan Klein, Clara Callenberg, Matthias B. Hullin, Wolfgang Heidrich. 3503-3511 [doi]
• Weakly Supervised Object Localization with Progressive Domain AdaptationDong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang 0001. 3512-3520 [doi]
• Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static ImagesRoozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi. 3521-3529 [doi]
• Identifying Good Training Data for Self-Supervised Free Space EstimationAli Harakeh, Daniel C. Asmar, Elie A. Shammas. 3530-3538 [doi]
• Learning to Match Aerial Images with Deep Attentive ArchitecturesHani Altwaijry, Eduard Trulls, James Hays, Pascal Fua, Serge J. Belongie. 3539-3547 [doi]
• Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object DetectionKrishna Kumar Singh, Fanyi Xiao, Yong Jae Lee. 3548-3556 [doi]
• DeepCAMP: Deep Convolutional Action & Attribute Mid-Level PatternsAli Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool. 3557-3565 [doi]
• Canny Text Detector: Fast and Robust Scene Text Localization AlgorithmHojin Cho, Myung-Chul Sung, Bongjin Jun. 3566-3573 [doi]
• Temporal Multimodal Learning in Audiovisual Speech RecognitionDi Hu, Xuelong Li, Xiaoqiang Lu. 3574-3582 [doi]
• Recovering 6D Object Pose and Predicting Next-Best-View in the CrowdAndreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis, Tae-Kyun Kim. 3583-3592 [doi]
• Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNsLiuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann. 3593-3601 [doi]
• Semantic Segmentation with Boundary Neural FieldsGedas Bertasius, Jianbo Shi, Lorenzo Torresani. 3602-3610 [doi]
• HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial ImagesGellert Mattyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun. 3611-3619 [doi]
• DAG-Recurrent Neural Networks for Scene LabelingBing Shuai, Zhen Zuo, Bing Wang, Gang Wang. 3620-3629 [doi]
• Saliency Guided Dictionary Learning for Weakly-Supervised Image ParsingBaisheng Lai, Xiaojin Gong. 3630-3639 [doi]
• Attention to Scale: Scale-Aware Semantic Image SegmentationLiang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille. 3640-3649 [doi]
• Scene Labeling Using Sparse Precision MatrixNasim Souly, Mubarak Shah. 3650-3658 [doi]
• Iterative Instance SegmentationKe Li, Bharath Hariharan, Jitendra Malik. 3659-3667 [doi]
• Recurrent Attentional Networks for Saliency DetectionJason Kuen, Zhenhua Wang, Gang Wang. 3668-3677 [doi]
• Instance-Level Video Segmentation from Object TracksGuillaume Seguin, Piotr Bojanowski, Rémi Lajugie, Ivan Laptev. 3678-3687 [doi]
• Semantic Instance Annotation of Street Scenes by 3D to 2D Label TransferJun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger. 3688-3697 [doi]
• Amplitude Modulated Video Camera - Light Separation in Dynamic ScenesAmir Kolaman, Maxim Lvov, Rami R. Hagege, Hugo Guterman. 3698-3706 [doi]
• A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric StereoBoxin Shi, Zhe Wu, Zhipeng Mo, Dinglong Duan, Sai Kit Yeung, Ping Tan. 3707-3716 [doi]
• Depth from Semi-Calibrated Stereo and DefocusTing-chun Wang, Manohar Srikanth, Ravi Ramamoorthi. 3717-3726 [doi]
• Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image RestorationYing Fu, Yinqiang Zheng, Imari Sato, Yoichi Sato. 3727-3736 [doi]
• Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution TradeoffJulie Chang, Isaac Kauvar, Xuemei Hu, Gordon Wetzstein. 3737-3745 [doi]
• Convolutional Networks for Shape from Light FieldStefan Heber, Thomas Pock. 3746-3754 [doi]
• Panoramic Stereo Videos with a Single CameraRajat Aggarwal, Amrisha Vohra, Anoop M. Namboodiri. 3755-3763 [doi]
• The Next Best Underwater ViewMark Sheinin, Yoav Y. Schechner. 3764-3773 [doi]
• Reconstructing Shapes and Appearances of Thin Film Objects Using RGB ImagesYoshie Kobayashi, Tetsuro Morimoto, Imari Sato, Yasuhiro Mukaigawa, Takao Tomono, Katsushi Ikeuchi. 3774-3782 [doi]
• Noisy Label Recovery for Shadow Detection in Unfamiliar DomainsTomas F. Yago Vicente, Minh Hoai, Dimitris Samaras. 3783-3792 [doi]
• Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly LabelledOscar Koller, Hermann Ney, Richard Bowden. 3793-3802 [doi]
• Recognizing Car Fluents from VideoBo Li, Tianfu Wu, Caiming Xiong, Song Chun Zhu. 3803-3812 [doi]
• Pairwise Decomposition of Image Sequences for Active Multi-view RecognitionEdward Johns, Stefan Leutenegger, Andrew J. Davison. 3813-3822 [doi]
• Inferring Forces and Learning Human Utilities from VideosYixin Zhu, Chenfanfu Jiang, Yibiao Zhao, Demetri Terzopoulos, Song Chun Zhu. 3823-3833 [doi]
• Force from Motion: Decoding Physical Sensation in a First Person VideoHyun Soo Park, Jyh-Jing Hwang, Jianbo Shi. 3834-3842 [doi]
• Robust Multi-Body Feature Tracker: A Segmentation-Free ApproachPan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong. 3843-3851 [doi]
• Slow and Steady Feature Analysis: Higher Order Temporal Coherence in VideoDinesh Jayaraman, Kristen Grauman. 3852-3861 [doi]
• Volumetric 3D Tracking by DetectionChun-Hao Huang, Benjamin Allain, Jean-Sébastien Franco, Nassir Navab, Slobodan Ilic, Edmond Boyer. 3862-3870 [doi]
• The Solution Path Algorithm for Identity-Aware Multi-object TrackingShoou-I Yu, Deyu Meng, Wangmeng Zuo, Alexander G. Hauptmann. 3871-3879 [doi]
• In Defense of Sparse Tracking: Circulant Sparse TrackerTianzhu Zhang, Adel Bibi, Bernard Ghanem. 3880-3888 [doi]
• Optical Flow with Semantic Segmentation and Localized LayersLaura Sevilla-Lara, Deqing Sun, Varun Jampani, Michael J. Black. 3889-3898 [doi]
• Video Segmentation via Object FlowYi-Hsuan Tsai, Ming-Hsuan Yang 0001, Michael J. Black. 3899-3908 [doi]
• Closed-Form Training of Mahalanobis Distance for Supervised ClusteringMarc Teva Law, Yaoliang Yu, Matthieu Cord, Eric P. Xing. 3909-3917 [doi]
• Scalable Sparse Subspace Clustering by Orthogonal Matching PursuitChong You, Daniel P. Robinson, René Vidal. 3918-3927 [doi]
• Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace ClusteringChong You, Chun-Guang Li, Daniel P. Robinson, René Vidal. 3928-3937 [doi]
• Sparse Coding and Dictionary Learning with Linear Dynamical SystemsWen-bing Huang, Fuchun Sun, Le-le Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi. 3938-3947 [doi]
• Sublabel-Accurate Relaxation of Nonconvex EnergiesThomas Möllenhoff, Emanuel Laude, Michael Moeller, Jan Lellmann, Daniel Cremers. 3948-3956 [doi]
• The Multiverse Loss for Robust Transfer LearningEtai Littwin, Lior Wolf. 3957-3966 [doi]
• Learning from the Mistakes of Others: Matching Errors in Cross-Dataset LearningViktoriia Sharmanska, Novi Quadrianto. 3967-3975 [doi]
• An Efficient Exact-PGA Algorithm for Constant Curvature ManifoldsRudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri. 3976-3984 [doi]
• Online Learning with Bayesian Classification TreesSamuel Rota Bulò, Peter Kontschieder. 3985-3993 [doi]
• Cross-Stitch Networks for Multi-task LearningIshan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert. 3994-4003 [doi]
• Deep Metric Learning via Lifted Structured Feature EmbeddingHyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese. 4004-4012 [doi]
• Fast Algorithms for Convolutional Neural NetworksAndrew Lavin, Scott Gray. 4013-4021 [doi]
• Coordinating Multiple Disparity Proposals for Stereo ComputationAng Li, Dapeng Chen, Yuanliu Liu, Zejian Yuan. 4022-4030 [doi]
• Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette ConsistencyChi Zhang, Zhiwei Li, Rui Cai, Hongyang Chao, Yong Rui. 4031-4039 [doi]
• A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow EstimationNikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox. 4040-4048 [doi]
• 6D Dynamic Camera Relocalization from Single Reference ImageWei Feng, Fei-Peng Tian, Qian Zhang, Jizhou Sun. 4049-4057 [doi]
• Dense Monocular Depth Estimation in Complex Dynamic ScenesRene Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun. 4058-4066 [doi]
• Using Self-Contradiction to Learn Confidence Measures in Stereo VisionChristian Mostegel, Markus Rumpler, Friedrich Fraundorfer, Horst Bischof. 4067-4076 [doi]
• Understanding RealWorld Indoor Scenes with Synthetic DataAnkur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla. 4077-4085 [doi]
• Stereo Matching with Color and Monochrome Cameras in Low-Light ConditionsHae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon. 4086-4094 [doi]
• Camera Calibration from Dynamic Silhouettes Using Motion BarcodesGil Ben-Artzi, Yoni Kasten, Shmuel Peleg, Michael Werman. 4095-4103 [doi]
• Structure-from-Motion RevisitedJohannes L. Schönberger, Jan-Michael Frahm. 4104-4113 [doi]
• Constructing Canonical Regions for Fast and Effective View SelectionWencheng Wang, Tianhao Gao. 4114-4122 [doi]
• Prior-Less Compressible Structure from MotionChen Kong, Simon Lucey. 4123-4131 [doi]
• Rolling Shutter Camera Relative Pose: Generalized Epipolar GeometryYuchao Dai, Hongdong Li, Laurent Kneip. 4132-4140 [doi]
• Structure from Motion with ObjectsMarco Crocco, Cosimo Rubino, Alessio Del Bue. 4141-4149 [doi]
• DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep FeaturesAyan Sinha, Chiho Choi, Karthik Ramani. 4150-4158 [doi]
• Multi-oriented Text Detection with Fully Convolutional NetworksZheng Zhang, Chengquan Zhang, Wei Shen, Cong Yao, Wenyu Liu, Xiang Bai. 4159-4167 [doi]
• Robust Scene Text Recognition with Automatic RectificationBaoguang Shi, Xinggang Wang, Pengyuan Lyu, Cong Yao, Xiang Bai. 4168-4176 [doi]
• Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face AlignmentGeorge Trigeorgis, Patrick Snape, Mihalis A. Nicolaou, Epameinondas Antonakos, Stefanos Zafeiriou. 4177-4187 [doi]
• Large-Pose Face Alignment via CNN-Based Dense 3D Model FittingAmin Jourabloo, Xiaoming Liu 0007. 4188-4196 [doi]
• Adaptive 3D Face Reconstruction from Unconstrained Photo CollectionsJoseph Roth, Yiying Tong, Xiaoming Liu. 4197-4206 [doi]
• Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural NetworksPavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz. 4207-4215 [doi]
• Kinematic Structure Correspondences via Hypergraph MatchingHyung Jin Chang, Tobias Fischer, Maxime Petit, Martina Zambelli, Yiannis Demiris. 4216-4225 [doi]
• CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face RetrievalBinod Bhattarai, Gaurav Sharma 0004, Frédéric Jurie. 4226-4235 [doi]
• PatchBatch: A Batch Augmented Loss for Optical FlowDavid Gadot, Lior Wolf. 4236-4245 [doi]
• Joint Recovery of Dense Correspondence and Cosegmentation in Two ImagesTatsunori Taniai, Sudipta N. Sinha, Yoichi Sato. 4246-4255 [doi]
• Multi-view People Tracking via Hierarchical Trajectory CompositionYuanlu Xu, Xiaobai Liu, Yang Liu, Song Chun Zhu. 4256-4265 [doi]
• Object Tracking via Dual Linear Structured SVM and Explicit Feature MapJifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang, Ming-Hsuan Yang 0001. 4266-4274 [doi]
• Robust, Real-Time 3D Tracking of Multiple Objects with Similar AppearancesTaiki Sekii. 4275-4283 [doi]
• An Egocentric Look at Video Photographer IdentityYedid Hoshen, Shmuel Peleg. 4284-4292 [doi]
• Learning Multi-domain Convolutional Neural Networks for Visual TrackingHyeonseob Nam, Bohyung Han. 4293-4302 [doi]
• Hedged Deep TrackingYuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang 0001. 4303-4311 [doi]
• Structural Correlation Filter for Robust Visual TrackingSi Liu, Tianzhu Zhang, Xiaochun Cao, Changsheng Xu. 4312-4320 [doi]
• Visual Tracking Using Attention-Modulated Disintegration and IntegrationJongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, Jin-Young Choi. 4321-4330 [doi]
• A Continuous Occlusion Model for Road Scene UnderstandingVikas Dhiman, Quoc Huy Tran, Jason J. Corso, Manmohan Chandraker. 4331-4339 [doi]
• VirtualWorlds as Proxy for Multi-object Tracking AnalysisAdrien Gaidon, Qiao Wang, Yohann Cabon, Eleonora Vig. 4340-4349 [doi]
• Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFsKeisuke Midorikawa, Toshihiko Yamasaki, Kiyoharu Aizawa. 4350-4358 [doi]
• Unbiased Photometric Stereo for Colored Surfaces: A Variational ApproachYvain Quéau, Roberto Mecca, Jean-Denis Durou. 4359-4368 [doi]
• 3D Reconstruction of Transparent Objects with Position-Normal ConsistencyYiming Qian, Minglun Gong, Yee-Hong Yang. 4369-4377 [doi]
• Real-Time Depth Refinement for Specular ObjectsRoy Or-El, Rom Hershkovitz, Aaron Wetzler, Guy Rosman, Alfred M. Bruckstein, Ron Kimmel. 4378-4386 [doi]
• Recovering Transparent Shape from Time-of-Flight DistortionKenichiro Tanaka, Yasuhiro Mukaigawa, Hiroyuki Kubo, Yasuyuki Matsushita, Yasushi Yagi. 4387-4395 [doi]
• Robust Light Field Depth Estimation for Noisy Scene with OcclusionWilliem, In Kyu Park. 4396-4404 [doi]
• Rotational Crossed-Slit Light FieldsNianyi Li, Haiting Lin, Bilin Sun, Mingyuan Zhou, Jingyi Yu. 4405-4413 [doi]
• Single Image Object Modeling Based on BRDF and r-Surfaces LearningFabrizio Natola, Valsamis Ntouskos, Fiora Pirri, Marta Sanzari. 4414-4423 [doi]
• A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image AnalysisMonami Banerjee, Rudrasis Chakraborty, Edward Ofori, Michael S. Okun, David E. Vaillancourt, Baba C. Vemuri. 4424-4432 [doi]
• RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material RecognitionQilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang. 4433-4441 [doi]
• An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale VariabilityNikolaos Karianakis, Jingming Dong, Stefano Soatto. 4442-4451 [doi]
• Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural NetworksVarun Jampani, Martin Kiefel, Peter V. Gehler. 4452-4461 [doi]
• Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component AnalysisFujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin. 4462-4470 [doi]
• Rolling Rotations for Recognizing Human Actions from 3D Skeletal DataRaviteja Vemulapalli, Rama Chellappa. 4471-4479 [doi]
• Improving the Robustness of Deep Neural Networks via Stability TrainingStephan Zheng, Yang Song, Thomas Leung, Ian J. Goodfellow. 4480-4488 [doi]
• Logistic Boosting Regression for Label Distribution LearningChao Xing, Xin Geng, Hui Xue. 4489-4497 [doi]
• Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian ManifoldXikang Zhang, Yin Wang, Mengran Gou, Mario Sznaier, Octavia I. Camps. 4498-4507 [doi]
• Deep Reflectance MapsKonstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars. 4508-4516 [doi]
• Semantic FilteringQingxiong Yang. 4517-4526 [doi]
• UAVSensor Fusion with Latent-Dynamic Conditional Random Fields in Coronal Plane EstimationAmir M. Rahimi, Raphael Ruschell, B. S. Manjunath. 4527-4534 [doi]
• Robust Visual Place Recognition with Graph KernelsElena Stumm, Christopher Mei, Simon Lacroix, Juan I. Nieto, Marco Hutter, Roland Siegwart. 4535-4544 [doi]
• Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain TransformLiang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy 0002, Alan L. Yuille. 4545-4554 [doi]
• Natural Language Object RetrievalRonghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell. 4555-4564 [doi]
• DenseCap: Fully Convolutional Localization Networks for Dense CaptioningJustin Johnson, Andrej Karpathy, Li Fei-Fei. 4565-4574 [doi]
• Unsupervised Learning from Narrated Instruction VideosJean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien. 4575-4583 [doi]
• Video Paragraph Captioning Using Hierarchical Recurrent Neural NetworksHaonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu. 4584-4593 [doi]
• Jointly Modeling Embedding and Translation to Bridge Video and LanguageYingwei Pan, Tao Mei, Ting Yao, Houqiang Li, Yong Rui. 4594-4602 [doi]
• We are Humor Beings: Understanding and Predicting Visual HumorArjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh. 4603-4612 [doi]
• Where to Look: Focus Regions for Visual Question AnsweringKevin J. Shih, Saurabh Singh, Derek Hoiem. 4613-4621 [doi]
• Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External SourcesQi Wu, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel. 4622-4630 [doi]
• MovieQA: Understanding Stories in Movies through Question-AnsweringMakarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler. 4631-4640 [doi]
• TGIF: A New Dataset and Benchmark on Animated GIF DescriptionYuncheng Li, Yale Song, Liangliang Cao, Joel R. Tetreault, Larry Goldberg, Alejandro Jaimes, Jiebo Luo. 4641-4650 [doi]
• Image Captioning with Semantic AttentionQuanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, Jiebo Luo. 4651-4659 [doi]
• Temporally Coherent 4D Reconstruction of Complex Dynamic ScenesArmin Mustafa, Hansung Kim, Jean-Yves Guillemaut, Adrian Hilton. 4660-4669 [doi]
• Consensus of Non-rigid ReconstructionsMinsik Lee, Jungchan Cho, Songhwai Oh. 4670-4678 [doi]
• Isometric Non-rigid Shape-from-Motion in Linear TimeShaifali Parashar, Daniel Pizarro, Adrien Bartoli. 4679-4687 [doi]
• Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision TreesJianhui Chen, Hoang M. Le, Peter Carr 0001, Yisong Yue, James J. Little. 4688-4696 [doi]
• Egocentric Future LocalizationHyun Soo Park, Jyh-Jing Hwang, Yedong Niu, Jianbo Shi. 4697-4705 [doi]
• Full Flow: Optical Flow Estimation By Global Optimization over Regular GridsQifeng Chen, Vladlen Koltun. 4706-4714 [doi]
• Structured Feature Learning for Pose EstimationXiao Chu, Wanli Ouyang, Hongsheng Li, Xiaogang Wang. 4715-4723 [doi]
• Convolutional Pose MachinesShih-En Wei, Varun Ramakrishna, Takeo Kanade, Yaser Sheikh. 4724-4732 [doi]
• Human Pose Estimation with Iterative Error FeedbackJoão Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik. 4733-4742 [doi]
• WELDON: Weakly Supervised Learning of Deep Convolutional Neural NetworksThibaut Durand, Nicolas Thome, Matthieu Cord. 4743-4752 [doi]
• DisturbLabel: Regularizing CNN on the Loss LayerLingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, Qi Tian. 4753-4762 [doi]
• Gradual DropIn of Layers to Train Very Deep Neural NetworksLeslie N. Smith, Emily M. Hand, Timothy Doster. 4763-4771 [doi]
• Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity RecognitionZhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori. 4772-4781 [doi]
• Deep SimNetsNadav Cohen, Or Sharir, Amnon Shashua. 4782-4791 [doi]
• Studying Very Low Resolution Recognition Using Deep NetworksZhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang. 4792-4800 [doi]
• Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative DenoisingRaviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu 0001. 4801-4809 [doi]
• Event-Specific Image ImportanceYufei Wang, Zhe Lin 0001, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell. 4810-4819 [doi]
• Quantized Convolutional Neural Networks for Mobile DevicesJiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng. 4820-4828 [doi]
• Inverting Visual Representations with Convolutional NetworksAlexey Dosovitskiy, Thomas Brox. 4829-4837 [doi]
• Pose-Aware Face Recognition in the WildIacopo Masi, Stephen Rawls, Gérard G. Medioni, Prem Natarajan. 4838-4846 [doi]
• Multi-view Deep Network for Cross-View ClassificationMeina Kan, Shiguang Shan, Xilin Chen. 4847-4855 [doi]
• Sparsifying Neural Network Connections for Face RecognitionYi Sun, Xiaogang Wang, Xiaoou Tang. 4856-4864 [doi]
• Pairwise Linear Regression Classification for Image Set RetrievalQingxiang Feng, Yicong Zhou, Rushi Lan. 4865-4872 [doi]
• The MegaFace Benchmark: 1 Million Faces for Recognition at ScaleIra Kemelmacher-Shlizerman, Steven M. Seitz, Daniel Miller, Evan Brossard. 4873-4882 [doi]
• Learnt Quasi-Transitive Similarity for Retrieval from Large Collections of FacesOgnjen Arandjelovic. 4883-4892 [doi]
• Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face RecognitionYanDong Wen, Zhifeng Li, Yu Qiao 0001. 4893-4901 [doi]
• Copula Ordinal Regression for Joint Estimation of Facial Action Unit IntensityRobert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic. 4902-4910 [doi]
• A Robust Multilinear Model Learning Framework for 3D FacesTimo Bolkart, Stefanie Wuhrer. 4911-4919 [doi]
• Ordinal Regression with Multiple Output CNN for Age EstimationZhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua. 4920-4928 [doi]
• DeepCut: Joint Subset Partition and Labeling for Multi Person Pose EstimationLeonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter V. Gehler, Bernt Schiele. 4929-4937 [doi]
• Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose EstimationSuha Kwak, Minsu Cho, Ivan Laptev. 4938-4947 [doi]
• A Dual-Source Approach for 3D Pose Estimation from a Single ImageHashim Yasin, Umar Iqbal, Björn Krüger, Andreas Weber 0004, Juergen Gall. 4948-4956 [doi]
• Efficiently Creating 3D Training Data for Fine Hand Pose EstimationMarkus Oberweger, Gernot Riegler, Paul Wohlhart, Vincent Lepetit. 4957-4965 [doi]
• Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular VideoXiaowei Zhou, Menglong Zhu, Spyridon Leonardos, Konstantinos G. Derpanis, Kostas Daniilidis. 4966-4975 [doi]
• Answer-Type Prediction for Visual Question AnsweringKushal Kafle, Christopher Kanan. 4976-4984 [doi]
• VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract ScenesSatwik Kottur, Ramakrishna Vedantam, José M. F. Moura, Devi Parikh. 4985-4994 [doi]
• Visual7W: Grounded Question Answering in ImagesYuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei. 4995-5004 [doi]
• Learning Deep Structure-Preserving Image-Text EmbeddingsLiwei Wang, Yin Li, Svetlana Lazebnik. 5005-5013 [doi]
• Yin and Yang: Balancing and Answering Binary Visual QuestionsPeng Zhang, Yash Goyal, Douglas Summers-Stay, Dhruv Batra, Devi Parikh. 5014-5022 [doi]
• GIFT: A Real-Time and Scalable 3D Shape Search EngineSong Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki. 5023-5032 [doi]
• Functional Faces: Groupwise Dense Correspondence Using Functional MapsChao Zhang, William A. P. Smith, Arnaud Dessein, Nick Pears, Hang Dai. 5033-5041 [doi]
• Similarity Metric for Curved Shapes in Euclidean SpaceGirum G. Demisse, Djamila Aouada, Björn E. Ottersten. 5042-5050 [doi]
• Shape Analysis with Hyperbolic Wasserstein DistanceJie Shi, Wen Zhang, Yalin Wang. 5051-5061 [doi]
• Tensor Power Iteration for Multi-graph MatchingXinchu Shi, Haibin Ling, Weiming Hu, Junliang Xing, Yanning Zhang. 5062-5070 [doi]
• Multivariate Regression on the Grassmannian for Predicting Novel DomainsYongxin Yang, Timothy M. Hospedales. 5071-5080 [doi]
• Learning Cross-Domain Landmarks for Heterogeneous Domain AdaptationYao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang. 5081-5090 [doi]
• Geospatial Correspondences for Multimodal RegistrationDiego Marcos Gonzalez, Raffay Hamid, Devis Tuia. 5091-5100 [doi]
• Constrained Deep Transfer Feature Learning and Its ApplicationsYue Wu, Qiang Ji. 5101-5109 [doi]
• Deep Canonical Time WarpingGeorge Trigeorgis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Björn W. Schuller. 5110-5118 [doi]
• Multilinear Hyperplane HashingXianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao. 5119-5127 [doi]
• Large Scale Hard Sample Mining with Monte Carlo Tree SearchOlivier Canévet, François Fleuret. 5128-5137 [doi]
• Multi-label Ranking from Positive and Unlabeled DataAtsushi Kanehira, Tatsuya Harada. 5138-5146 [doi]
• Joint Unsupervised Learning of Deep Representations and Image ClustersJianwei Yang, Devi Parikh, Dhruv Batra. 5147-5156 [doi]
• Kernel Sparse Subspace Clustering on Symmetric Positive Definite ManifoldsMing Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie. 5157-5164 [doi]
• Symmetry reCAPTCHAChristopher Funk, Yanxi Liu. 5165-5174 [doi]
• Unsupervised Learning of Discriminative Attributes and Visual RepresentationsChen Huang, Chen Change Loy, Xiaoou Tang. 5175-5184 [doi]
• When VLAD Met HilbertMehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli. 5185-5194 [doi]
• Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image ClassificationHa Quang Minh, Marco San-Biagio, Loris Bazzani, Vittorio Murino. 5195-5203 [doi]
• Subspace Clustering with Priors via Sparse Quadratically Constrained Quadratic ProgrammingYongfang Cheng, Yin Wang, Mario Sznaier, Octavia I. Camps. 5204-5212 [doi]
• Robust Tensor Factorization with Unknown NoiseXiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang. 5213-5221 [doi]
• Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature LearningYusuke Mukuta, Tatsuya Harada. 5222-5230 [doi]
• Active Learning for Delineation of Curvilinear StructuresAgata Mosinska-Domanska, Raphael Sznitman, Przemyslaw Glowacki, Pascal Fua. 5231-5239 [doi]
• Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix CompletionXavier Alameda-Pineda, Elisa Ricci, Yan Yan, Nicu Sebe. 5240-5248 [doi]
• Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex OptimizationCanyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan. 5249-5257 [doi]
• Sliced Wasserstein Kernels for Probability DistributionsSoheil Kolouri, Yang Zou, Gustavo K. Rohde. 5258-5267 [doi]
• Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image RepresentationsXian Wei, Hao Shen, Martin Kleinsteuber. 5268-5277 [doi]
• Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down SaliencyHisham Cholakkal, Jubin Johnson, Deepu Rajan. 5278-5287 [doi]
• MSR-VTT: A Large Video Description Dataset for Bridging Video and LanguageJun Xu, Tao Mei, Ting Yao, Yong Rui. 5288-5296 [doi]
• NetVLAD: CNN Architecture for Weakly Supervised Place RecognitionRelja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic. 5297-5307 [doi]
• Structural-RNN: Deep Learning on Spatio-Temporal GraphsAshesh Jain, Amir Roshan Zamir, Silvio Savarese, Ashutosh Saxena. 5308-5317 [doi]
• Learning to Select Pre-Trained Deep Representations with Bayesian Evidence FrameworkYong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi. 5318-5326 [doi]
• Synthesized Classifiers for Zero-Shot LearningSoravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha. 5327-5336 [doi]
• Semi-supervised Vocabulary-Informed LearningYanwei Fu, Leonid Sigal. 5337-5346 [doi]
• Simultaneous Clustering and Model Selection for Tensor AffinitiesZhuwen Li, Shuoguang Yang, Loong Fah Cheong, Kim-Chuan Toh. 5347-5355 [doi]
• Discriminatively Embedded K-Means for Multi-view ClusteringJinglin Xu, Junwei Han, Feiping Nie. 5356-5364 [doi]
• Min Norm Point Algorithm for Higher Order MRF-MAP InferenceIshant Shanu, Chetan Arora, Parag Singla. 5365-5374 [doi]
• Learning Deep Representation for Imbalanced ClassificationChen Huang, Yining Li, Chen Change Loy, Xiaoou Tang. 5375-5384 [doi]
• Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss FunctionsVijay Kumar B. G, Gustavo Carneiro, Ian D. Reid 0001. 5385-5394 [doi]
• Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture RecognitionPiotr Koniusz, Anoop Cherian. 5395-5403 [doi]
• Random Features for Sparse Signal ClassificationJen-Hao Rick Chang, Aswin C. Sankaranarayanan, B. V. K. Vijaya Kumar. 5404-5412 [doi]
• High-Quality Depth from Uncalibrated Small Motion ClipHyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon. 5413-5421 [doi]
• Efficient 3D Room Shape Recovery from a Single PanoramaHao Yang, Hui Zhang. 5422-5430 [doi]
• Structured Prediction of Unobserved Voxels from a Single Depth ImageMichael Firman, Oisin Mac Aodha, Simon J. Julier, Gabriel J. Brostow. 5431-5440 [doi]
• HyperDepth: Learning Depth from Structured Light without MatchingSean Ryan Fanello, Christoph Rhemann, Vladimir Tankovich, Adarsh Kowdle, Sergio Orts-Escolano, David Kim, Shahram Izadi. 5441-5450 [doi]
• SVBRDF-Invariant Shape and Reflectance Estimation from Light-Field CamerasTing-chun Wang, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi. 5451-5459 [doi]
• Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency ConstraintNikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys. 5460-5469 [doi]
• Theory and Practice of Structure-From-Motion Using Affine CorrespondencesCarolina Raposo, Joao P. Barreto 0001. 5470-5478 [doi]
• Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View ReconstructionSilvano Galliani, Konrad Schindler. 5479-5487 [doi]
• From Dusk Till Dawn: Modeling in the DarkFilip Radenovic, Johannes L. Schönberger, Dinghuang Ji, Jan-Michael Frahm, Ondrej Chum, Jiri Matas. 5488-5496 [doi]
• Accelerated Generative Models for 3D Point Cloud DataBenjamin Eckart, Kihwan Kim, Alejandro J. Troccoli, Alonzo Kelly, Jan Kautz. 5497-5505 [doi]
• Monocular Depth Estimation Using Neural Regression ForestAnirban Roy, Sinisa Todorovic. 5506-5514 [doi]
• Deep Stereo: Learning to Predict New Views from the World's ImageryJohn Flynn, Ivan Neulander, James Philbin, Noah Snavely. 5515-5524 [doi]
• WIDER FACE: A Face Detection BenchmarkShuo Yang, Ping Luo,