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ORCIDCVPR 2017: Honolulu, HI, USA
- 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-0457-1
- Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li:
Exclusivity-Consistency Regularized Multi-view Subspace Clustering. 1-9 - Weifeng Ge, Yizhou Yu:
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. 10-19 - Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta:
The More You Know: Using Knowledge Graphs for Image Classification. 20-28 - Martin Simonovsky, Nikos Komodakis:
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. 29-38 - Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
Convolutional Neural Network Architecture for Geometric Matching. 39-48 - Spyridon Thermos, Georgios Th. Papadopoulos, Petros Daras
, Gerasimos Potamianos:
Deep Affordance-Grounded Sensorimotor Object Recognition. 49-57 - David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou:
Discovering Causal Signals in Images. 58-66 - Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
On Compressing Deep Models by Low Rank and Sparse Decomposition. 67-76 - Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. 77-85 - Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard:
Universal Adversarial Perturbations. 86-94 - Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan:
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks. 95-104 - Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi:
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. 105-114 - Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. 115-124 - Mahdi Abbaspour Tehrani, Thabo Beeler, Anselm Grundhöfer:
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light. 125-133 - Wayne Treible, Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Michael ONeal, Brian Phelan, Kelly D. Sherbondy, Chandra Kambhamettu:
CATS: A Color and Thermal Stereo Benchmark. 134-142 - Abed Malti, Cédric Herzet:
Elastic Shape-from-Template with Spatially Sparse Deforming Forces. 143-151 - Qingan Yan, Long Yang, Ling Zhang, Chunxia Xiao:
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context. 152-160 - Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. 161-169 - Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin:
Dynamic Time-of-Flight. 170-179 - Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Training Object Class Detectors with Click Supervision. 180-189 - Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser:
Semantic Scene Completion from a Single Depth Image. 190-198 - Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas A. Funkhouser:
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. 199-208 - Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency. 209-217 - Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi Di Stefano, Philip H. S. Torr:
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. 218-227 - Yagiz Aksoy, Tunç Ozan Aydin, Marc Pollefeys:
Designing Effective Inter-Pixel Information Flow for Natural Image Matting. 228-236 - Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang:
Deep Video Deblurring for Hand-Held Cameras. 237-246 - Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Instance-Level Salient Object Segmentation. 247-256 - Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee:
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring. 257-265 - Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Diversified Texture Synthesis with Feed-Forward Networks. 266-274 - Zhipeng Mo, Boxin Shi, Sai-Kit Yeung, Yasuyuki Matsushita:
Radiometric Calibration for Internet Photo Collections. 275-283 - Youngjung Kim, Hyungjoo Jung, Dongbo Min, Kwanghoon Sohn:
Deeply Aggregated Alternating Minimization for Image Restoration. 284-292 - Mengye Ren, Richard S. Zemel:
End-to-End Instance Segmentation with Recurrent Attention. 293-301 - Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye:
SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild. 302-310 - Ning Xu, Brian L. Price, Scott Cohen, Thomas S. Huang:
Deep Image Matting. 311-320 - Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato:
Wetness and Color from a Single Multispectral Image. 321-329 - Yuanming Hu, Baoyuan Wang, Stephen Lin:
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling. 330-339 - George Trigeorgis, Patrick Snape, Iasonas Kokkinos, Stefanos Zafeiriou:
Face Normals "In-the-Wild" Using Fully Convolutional Networks. 340-349 - Yvain Quéau, Tao Wu, François Lauze, Jean-Denis Durou, Daniel Cremers:
A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting. 350-359 - Kosuke Takahashi, Akihiro Miyata, Shohei Nobuhara, Takashi Matsuyama:
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point. 360-368 - Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, Jan Kautz:
Polarimetric Multi-view Stereo. 369-378 - Huu Le, Tat-Jun Chin, David Suter:
An Exact Penalty Method for Locally Convergent Maximum Consensus. 379-387 - Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker:
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. 388-397 - Zhuo Deng, Longin Jan Latecki:
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Images. 398-406 - Guillermo Garcia-Hernando, Tae-Kyun Kim:
Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection. 407-415 - Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona:
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks. 416-425 - Shiming Ge, Jia Li, Qiting Ye, Zhao Luo:
Detecting Masked Faces in the Wild with LLE-CNNs. 426-434 - Qianru Sun, Bernt Schiele, Mario Fritz:
A Domain Based Approach to Social Relation Recognition. 435-444 - Junwu Weng, Chaoqun Weng, Junsong Yuan:
Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition. 445-454 - Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister:
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks. 455-464 - Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab:
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. 465-473 - Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild. 474-483 - Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. 484-492 - Lei Zhu, Chi-Wing Fu, Michael S. Brown, Pheng-Ann Heng:
A Non-local Low-Rank Framework for Ultrasound Speckle Reduction. 493-501 - Yichao Zhang, Silvia L. Pintea, Jan C. van Gemert:
Video Acceleration Magnification. 502-510 - Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han:
Superpixel-Based Tracking-by-Segmentation Using Markov Chains. 511-520 - Bohyung Han, Jack Sim, Hartwig Adam:
BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks. 521-530 - Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. 531-539 - Ping Hu, Bing Shuai, Jun Liu, Gang Wang:
Deep Level Sets for Salient Object Detection. 540-549 - Bo Jiang, Jin Tang, Chris Ding, Bin Luo:
Binary Constraint Preserving Graph Matching. 550-557 - Subeesh Vasu, A. N. Rajagopalan:
From Local to Global: Edge Profiles to Camera Motion in Blurred Images. 558-567 - Derya Akkaynak, Tali Treibitz, Tom Shlesinger, Yossi Loya, Raz Tamir, David Iluz:
What is the Space of Attenuation Coefficients in Underwater Computer Vision? 568-577 - Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker:
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields. 578-586 - Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Boundary-Aware Instance Segmentation. 587-595 - S. Alireza Golestaneh, Lina J. Karam:
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes. 596-605 - Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman:
Model-Based Iterative Restoration for Binary Document Image Compression with Dictionary Learning. 606-615 - Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn:
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. 616-625 - Philip Häusser, Alexander Mordvintsev, Daniel Cremers:
Learning by Association - A Versatile Semi-Supervised Training Method for Neural Networks. 626-635 - Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser:
Dilated Residual Networks. 636-644 - Richard Zhang, Phillip Isola, Alexei A. Efros:
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. 645-654 - Mariano Tepper, Guillermo Sapiro:
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting. 655-663 - Pankaj Pansari, M. Pawan Kumar:
Truncated Max-of-Convex Models. 664-672 - Calvin Murdock, Fernando De la Torre:
Additive Component Analysis. 673-681 - Chong Peng, Zhao Kang, Qiang Cheng:
Subspace Clustering via Variance Regularized Ridge Regression. 682-691 - Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh:
The Incremental Multiresolution Matrix Factorization Algorithm. 692-701 - Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg:
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis. 702-711 - Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang:
Learning Dynamic Guidance for Depth Image Enhancement. 712-721 - Shuang Ma, Jing Liu, Chang Wen Chen:
A-Lamp: Adaptive Layout-Aware Multi-patch Deep Convolutional Neural Network for Photo Aesthetic Assessment. 722-731 - Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George:
Teaching Compositionality to CNNs. 732-741 - Shixing Chen, Caojin Zhang, Ming Dong, Jialiang Le, Mike Rao:
Using Ranking-CNN for Age Estimation. 742-751 - Jimmy S. J. Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu:
Accurate Single Stage Detector Using Recurrent Rolling Convolution. 752-760 - Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li:
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation. 761-770 - Jawadul H. Bappy, Sujoy Paul, Ertem Tuncel, Amit K. Roy-Chowdhury:
The Impact of Typicality for Informative Representative Selection. 771-780 - M. Ehsan Abbasnejad, Anthony R. Dick, Anton van den Hengel:
Infinite Variational Autoencoder for Semi-Supervised Learning. 781-790 - Ayan Sinha, Asim Unmesh, Qixing Huang, Karthik Ramani:
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks. 791-800 - Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri:
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning. 801-809 - Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir:
Variational Bayesian Multiple Instance Learning with Gaussian Processes. 810-819 - Wenjie Pei, Tadas Baltrusaitis, David M. J. Tax, Louis-Philippe Morency:
Temporal Attention-Gated Model for Robust Sequence Classification. 820-829 - Sujoy Paul, Jawadul H. Bappy, Amit K. Roy-Chowdhury:
Non-uniform Subset Selection for Active Learning in Structured Data. 830-839 - Gustav Larsson, Michael Maire, Gregory Shakhnarovich:
Colorization as a Proxy Task for Visual Understanding. 840-849 - Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala:
Shading Annotations in the Wild. 850-859 - Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi:
LCNN: Lookup-Based Convolutional Neural Network. 860-869 - Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang:
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. 870-878 - Anurag Arnab, Philip H. S. Torr:
Pixelwise Instance Segmentation with a Dynamically Instantiated Network. 879-888 - Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, Xiaogang Wang:
Object Detection in Videos with Tubelet Proposal Networks. 889-897 - Cheng Da, Shibiao Xu, Kun Ding, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
AMVH: Asymmetric Multi-Valued hashing. 898-906 - Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, Xiaoou Tang:
Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion. 907-915 - Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Deep Visual-Semantic Quantization for Efficient Image Retrieval. 916-925 - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. 926-935 - Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, Serge J. Belongie:
Feature Pyramid Networks for Object Detection. 936-944 - Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. 945-954 - Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng:
StyleNet: Generating Attractive Visual Captions with Styles. 955-964 - Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok:
Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training. 965-974 - Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang:
Improving Interpretability of Deep Neural Networks with Semantic Information. 975-983 - Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei:
Video Captioning with Transferred Semantic Attributes. 984-992 - Arthur Daniel Costea, Robert Varga, Sergiu Nedevschi:
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features. 993-1002 - Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks for Action Segmentation and Detection. 1003-1012 - Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao, Yao Sun:
Surveillance Video Parsing with Single Frame Supervision. 1013-1021 - Yan Yan, Chenliang Xu, Dawen Cai, Jason J. Corso:
Weakly Supervised Actor-Action Segmentation via Robust Multi-task Ranking. 1022-1031 - De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles:
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos. 1032-1041 - Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang:
Zero-Shot Action Recognition with Error-Correcting Output Codes. 1042-1051 - Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik:
Enhancing Video Summarization via Vision-Language Embedding. 1052-1060 - Jianwen Xie, Song-Chun Zhu, Ying Nian Wu:
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. 1061-1069 - Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik:
Context-Aware Captions from Context-Agnostic Supervision. 1070-1079 - Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra:
Visual Dialog. 1080-1089 - Yuting Zhang, Luyao Yuan, Yijie Guo, Zhiyuan He, I-An Huang, Honglak Lee:
Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries. 1090-1099 - Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka:
Automatic Understanding of Image and Video Advertisements. 1100-1110 - Kai Chen, Hang Song, Chen Change Loy, Dahua Lin:
Discover and Learn New Objects from Documentaries. 1111-1120 - Long Mai, Hailin Jin, Zhe L. Lin, Chen Fang, Jonathan Brandt, Feng Liu:
Spatial-Semantic Image Search by Visual Feature Synthesis. 1121-1130 - Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris:
Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification. 1131-1140 - Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. 1141-1150 - Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li:
Deep Reinforcement Learning-Based Image Captioning with Embedding Reward. 1151-1159 - Ishan Misra, Abhinav Gupta, Martial Hebert:
From Red Wine to Red Tomato: Composition with Context. 1160-1169 - Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. 1170-1178 - Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel:
Self-Critical Sequence Training for Image Captioning. 1179-1195 - Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation. 1196-1205 - Shan Su, Jung Pyo Hong, Jianbo Shi, Hyun Soo Park:
Predicting Behaviors of Basketball Players from First Person Videos. 1206-1215 - Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid:
LCR-Net: Localization-Classification-Regression for Human Pose. 1216-1224 - Wei Shen, Rujie Liu:
Learning Residual Images for Face Attribute Manipulation. 1225-1233 - Jin Sun, David W. Jacobs:
Seeing What is Not There: Learning Context to Determine Where Objects are Missing. 1234-1242 - Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool:
Deep Learning on Lie Groups for Skeleton-Based Action Recognition. 1243-1252 - Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis:
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations. 1253-1262 - Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis:
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose. 1263-1272 - Alexander Richard, Hilde Kuehne, Juergen Gall:
Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling. 1273-1282 - Luan Tran, Xi Yin, Xiaoming Liu:
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition. 1283-1292 - Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, Bernt Schiele:
ArtTrack: Articulated Multi-Person Tracking in the Wild. 1293-1301 - Zhe Cao, Tomas Simon, Shih-En Wei, Yaser Sheikh:
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields. 1302-1310 - Itamar Talmi, Roey Mechrez, Lihi Zelnik-Manor:
Template Matching with Deformable Diversity Similarity. 1311-1319 - Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification. 1320-1329 - Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan, Juan Carlos Niebles, Min Sun:
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization. 1330-1338 - Linchao Zhu, Zhongwen Xu, Yi Yang:
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos. 1339-1348 - Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi:
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. 1349-1358 - Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim:
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering. 1359-1367 - Yu-Chuan Su, Kristen Grauman:
Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing. 1368-1376 - Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury:
Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks. 1377-1386 - Matthias Mueller, Neil Smith, Bernard Ghanem:
Context-Aware Correlation Filter Tracking. 1387-1395 - Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun:
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. 1396-1405 - Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger:
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. 1406-1416 - Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, Shih-Fu Chang:
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos. 1417-1426 - Erik Wijmans, Yasutaka Furukawa:
Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment. 1427-1435 - Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers:
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching. 1436-1445 - Geoffrey Pascoe, Will Maddern, Michael Tanner, Pedro Pinies, Paul Newman:
NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance. 1446-1455 - Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock:
End-to-End Training of Hybrid CNN-CRF Models for Stereo. 1456-1465 - Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. 1466-1474 - Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang:
Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation. 1475-1483 - Jaewon Kim, Ilya Reshetouski, Abhijeet Ghosh:
Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging. 1484-1492 - Anh Tuan Tran, Tal Hassner, Iacopo Masi, Gérard G. Medioni:
Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network. 1493-1502 - Pengfei Dou, Shishir K. Shah, Ioannis A. Kakadiaris:
End-to-End 3D Face Reconstruction with Deep Neural Networks. 1503-1512 - Antonio Agudo, Francesc Moreno-Noguer:
DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction. 1513-1521 - Peiyun Hu, Deva Ramanan:
Finding Tiny Faces. 1522-1530 - Jinwei Gu, Xiaodong Yang, Shalini De Mello, Jan Kautz:
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network. 1531-1540 - Ali Diba, Vivek Sharma, Luc Van Gool:
Deep Temporal Linear Encoding Networks. 1541-1550 - Munawar Hayat, Salman H. Khan, Naoufel Werghi, Roland Goecke:
Joint Registration and Representation Learning for Unconstrained Face Identification. 1551-1560 - Francesc Moreno-Noguer:
3D Human Pose Estimation from a Single Image via Distance Matrix Regression. 1561-1570 - Slawomir Bak, Peter Carr:
One-Shot Metric Learning for Person Re-identification. 1571-1580 - Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. 1581-1590 - Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep Representation Learning for Human Motion Prediction and Classification. 1591-1599 - Maheen Rashid, Xiuye Gu, Yong Jae Lee:
Interspecies Knowledge Transfer for Facial Keypoint Detection. 1600-1609 - Runpeng Cui, Hu Liu, Changshui Zhang:
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization. 1610-1618 - Hasan Firdaus M. Zaki, Faisal Shafait, Ajmal S. Mian:
Modeling Sub-Event Dynamics in First-Person Action Recognition. 1619-1628 - Hang Yan, Yebin Liu, Yasutaka Furukawa:
Turning an Urban Scene Video into a Cinemagraph. 1629-1637 - Gaochang Wu, Mandan Zhao, Liangyong Wang, Qionghai Dai, Tianyou Chai, Yebin Liu:
Light Field Reconstruction Using Deep Convolutional Network on EPI. 1638-1646 - Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. 1647-1655 - Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li:
Attention-Aware Face Hallucination via Deep Reinforcement Learning. 1656-1664 - Anna Khoreva, Rodrigo Benenson, Jan Hendrik Hosang, Matthias Hein, Bernt Schiele:
Simple Does It: Weakly Supervised Instance and Semantic Segmentation. 1665-1674 - Tushar Sandhan, Jin Young Choi:
Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal. 1675-1684 - Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan:
Deep Joint Rain Detection and Removal from a Single Image. 1685-1694 - Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi:
Radiometric Calibration from Faces in Images. 1695-1704 - Bin Jin, Maria V. Ortiz Segovia, Sabine Süsstrunk:
Webly Supervised Semantic Segmentation. 1705-1714 - Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Removing Rain from Single Images via a Deep Detail Network. 1715-1723 - Yupei Wang, Xin Zhao, Kaiqi Huang:
Deep Crisp Boundaries. 1724-1732 - Naeemullah Khan, Byung-Woo Hong, Anthony J. Yezzi, Ganesh Sundaramoorthi:
Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces. 1733-1742 - Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, Jian Sun:
Large Kernel Matters - Improve Semantic Segmentation by Global Convolutional Network. 1743-1751 - Nikolaos Arvanitopoulos, Radhakrishna Achanta, Sabine Süsstrunk:
Single Image Reflection Suppression. 1752-1760 - Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. 1761-1770 - Thomas Nestmeyer, Peter V. Gehler:
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation. 1771-1780 - Andreas Veit, Serge J. Belongie, Theofanis Karaletsos:
Conditional Similarity Networks. 1781-1789 - Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. 1790-1799 - François Chollet:
Xception: Deep Learning with Depthwise Separable Convolutions. 1800-1807 - Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese:
Feedback Networks. 1808-1817 - Ehsan Elhamifar, M. Clara De Paolis Kaluza:
Online Summarization via Submodular and Convex Optimization. 1818-1826 - Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau:
Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image. 1827-1836 - Yuncheng Li, Yale Song, Jiebo Luo:
Improving Pairwise Ranking for Multi-label Image Classification. 1837-1845 - Yunho Jeon, Junmo Kim:
Active Convolution: Learning the Shape of Convolution for Image Classification. 1846-1854 - Aviv Eisenschtat, Lior Wolf:
Linking Image and Text with 2-Way Nets. 1855-1865 - Xun Huang, Yixuan Li, Omid Poursaeed, John E. Hopcroft, Serge J. Belongie:
Stacked Generative Adversarial Networks. 1866-1875 - Can Chen, Scott McCloskey, Jingyi Yu:
Image Splicing Detection via Camera Response Function Analysis. 1876-1885 - Edouard Oyallon:
Building a Regular Decision Boundary with Deep Networks. 1886-1894 - Xuanyi Dong, Junshi Huang, Yi Yang, Shuicheng Yan:
More is Less: A More Complicated Network with Less Inference Complexity. 1895-1903 - Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres:
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. 1904-1912 - Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu:
Scale-Aware Face Detection. 1913-1922 - Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer:
Deep Unsupervised Similarity Learning Using Partially Ordered Sets. 1923-1932 - Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu:
Generative Hierarchical Learning of Sparse FRAME Models. 1933-1941 - Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis:
Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval. 1942-1950 - Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan:
Perceptual Generative Adversarial Networks for Small Object Detection. 1951-1959 - Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Emotion Recognition in Context. 1960-1968 - Jongyoo Kim, Sanghoon Lee:
Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework. 1969-1977 - Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li:
Dense Captioning with Joint Inference and Visual Context. 1978-1987 - Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. 1988-1997 - Yicong Tian, Chen Chen, Mubarak Shah:
Cross-View Image Matching for Geo-Localization in Urban Environments. 1998-2006 - Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Heng Tao Shen, Jingkuan Song:
Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning. 2007-2016 - Lluis Gomez-Bigorda, Yash Patel, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces. 2017-2026 - Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang:
Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification. 2027-2036 - Pedro Morgado, Nuno Vasconcelos:
Semantically Consistent Regularization for Zero-Shot Recognition. 2037-2046 - Bin Wang, Yongsheng Gao, Changming Sun, Michael Blumenstein, John La Salle:
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes? 2047-2056 - Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang:
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. 2057-2066 - Achal Dave, Olga Russakovsky, Deva Ramanan:
Predictive-Corrective Networks for Action Detection. 2067-2076 - Behrooz Mahasseni, Sinisa Todorovic, Alan Fern:
Budget-Aware Deep Semantic Video Segmentation. 2077-2086 - Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. 2087-2096 - Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Spatiotemporal Pyramid Network for Video Action Recognition. 2097-2106 - Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng:
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. 2107-2116 - Suyog Dutt Jain, Bo Xiong, Kristen Grauman:
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos. 2117-2126 - Aidean Sharghi, Jacob S. Laurel, Boqing Gong:
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach. 2127-2136 - Chaochao Lu, Michael Hirsch, Bernhard Schölkopf:
Flexible Spatio-Temporal Networks for Video Prediction. 2137-2145 - Konstantinos E. Papoutsakis, Costas Panagiotakis, Antonis A. Argyros:
Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos. 2146-2155 - Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim:
Dual Attention Networks for Multimodal Reasoning and Matching. 2156-2164 - Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker:
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents. 2165-2174 - Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing:
Interpretable Structure-Evolving LSTM. 2175-2184 - Shireen Y. Elhabian, Ross T. Whitaker:
ShapeOdds: Variational Bayesian Learning of Generative Shape Models. 2185-2196 - Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy:
Fast Video Classification via Adaptive Cascading of Deep Models. 2197-2205 - Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy:
Deep Metric Learning via Facility Location. 2206-2214 - Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe:
Semi-Supervised Deep Learning for Monocular Depth Map Prediction. 2215-2223 - Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han:
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. 2224-2232 - Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu:
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach. 2233-2241 - Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb:
Learning from Simulated and Unsupervised Images through Adversarial Training. 2242-2251 - Chen-Hsuan Lin, Simon Lucey:
Inverse Compositional Spatial Transformer Networks. 2252-2260 - Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger:
Densely Connected Convolutional Networks. 2261-2269 - Simon Niklaus, Long Mai, Feng Liu:
Video Frame Interpolation via Adaptive Convolution. 2270-2279 - Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha:
FastMask: Segment Multi-scale Object Candidates in One Shot. 2280-2288 - Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein:
Reconstructing Transient Images from Single-Photon Sensors. 2289-2297 - Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao:
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval. 2298-2307 - Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson W. H. Lau:
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal. 2308-2316 - Ryusuke Sagawa, Yutaka Satoh:
Illuminant-Camera Communication to Observe Moving Objects under Strong External Light by Spread Spectrum Modulation. 2317-2325 - Shunsuke Saito, Lingyu Wei, Liwen Hu, Koki Nagano, Hao Li:
Photorealistic Facial Texture Inference Using Deep Neural Networks. 2326-2335 - Chia-Yin Tsai, Kiriakos N. Kutulakos, Srinivasa G. Narasimhan, Aswin C. Sankaranarayanan:
The Geometry of First-Returning Photons for Non-Line-of-Sight Imaging. 2336-2344 - Vijay Rengarajan, Yogesh Balaji, A. N. Rajagopalan:
Unrolling the Shutter: CNN to Correct Motion Distortions. 2345-2353 - Pratul P. Srinivasan, Ren Ng, Ravi Ramamoorthi:
Light Field Blind Motion Deblurring. 2354-2362 - Mark Sheinin, Yoav Y. Schechner, Kiriakos N. Kutulakos:
Computational Imaging on the Electric Grid. 2363-2372 - Yannick Hold-Geoffroy, Kalyan Sunkavalli, Sunil Hadap, Emiliano Gambaretto, Jean-François Lalonde:
Deep Outdoor Illumination Estimation. 2373-2382 - Viktor Larsson, Kalle Åström, Magnus Oskarsson:
Efficient Solvers for Minimal Problems by Syzygy-Based Reduction. 2383-2392 - Hainan Cui, Xiang Gao, Shuhan Shen, Zhanyi Hu:
HSfM: Hybrid Structure-from-Motion. 2393-2402 - Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. 2403-2412 - Soumyadip Sengupta, Tal Amir, Meirav Galun, Tom Goldstein, David W. Jacobs, Amit Singer, Ronen Basri:
A New Rank Constraint on Multi-view Fundamental Matrices, and Its Application to Camera Location Recovery. 2413-2421 - Hamid Izadinia, Qi Shan, Steven M. Seitz:
IM2CAD. 2422-2431 - Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, Matthias Nießner:
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes. 2432-2443 - Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon:
Noise Robust Depth from Focus Using a Ring Difference Filter. 2444-2453 - Luis Gonzalo Sánchez Giraldo, Erion Hasanbelliu, Murali Rao, José C. Príncipe:
Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy. 2454-2462 - Haoqiang Fan, Hao Su, Leonidas J. Guibas:
A Point Set Generation Network for 3D Object Reconstruction from a Single Image. 2463-2471 - Gil Elbaz, Tamar Avraham, Anath Fischer:
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder. 2472-2481 - Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua:
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras. 2482-2491 - Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. 2492-2500 - Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer, Horst Bischof:
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity. 2501-2510 - Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum:
Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks. 2511-2519 - Matthew Trager, Bernd Sturmfels, John F. Canny, Martial Hebert, Jean Ponce:
General Models for Rational Cameras and the Case of Two-Slit Projections. 2520-2528 - Michael Strecke, Anna Alperovich, Bastian Goldluecke:
Accurate Depth and Normal Maps from Occlusion-Aware Focal Stack Symmetry. 2529-2537 - Thomas Schöps, Johannes L. Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger:
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos. 2538-2547 - Hiroyuki Kayaba, Yuji Kokumai:
Non-contact Full Field Vibration Measurement Based on Phase-Shifting. 2548-2556 - Daniel Barath, Tekla Toth, Levente Hajder:
A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences. 2557-2565 - Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. 2566-2574 - Mariano Jaimez, Thomas J. Cashman, Andrew W. Fitzgibbon, Javier González Jiménez, Daniel Cremers:
An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models. 2575-2583 - Shan Li, Weihong Deng, Junping Du:
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. 2584-2593 - César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel López Peña:
Procedural Generation of Videos to Train Deep Action Recognition Networks. 2594-2604 - Shanxin Yuan, Qi Ye, Björn Stenger, Siddhant Jain, Tae-Kyun Kim:
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis. 2605-2613 - Riza Alp Güler, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos:
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild. 2614-2623 - Jian-Xun Mi, Qiankun Fu, Weisheng Li:
Adaptive Class Preserving Representation for Image Classification. 2624-2632 - Devraj Mandal, Kunal N. Chaudhury, Soma Biswas:
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval. 2633-2641 - Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang:
EAST: An Efficient and Accurate Scene Text Detector. 2642-2651 - Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen:
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization. 2652-2660 - Dustin Morley, Hassan Foroosh:
Improving RANSAC-Based Segmentation through CNN Encapsulation. 2661-2670 - Manikanta Kotaru, Sachin Katti:
Position Tracking for Virtual Reality Using Commodity WiFi. 2671-2681 - Henryk Blasinski, Joyce E. Farrell, Brian A. Wandell:
Designing Illuminant Spectral Power Distributions for Surface Classification. 2682-2691 - Tsuyoshi Takatani, Takahito Aoto, Yasuhiro Mukaigawa:
One-Shot Hyperspectral Imaging Using Faced Reflectors. 2692-2700 - Kaimo Lin, Nianjuan Jiang, Shuaicheng Liu, Loong-Fah Cheong, Minh N. Do, Jiangbo Lu:
Direct Photometric Alignment by Mesh Deformation. 2701-2709 - Christian Bailer, Kiran Varanasi, Didier Stricker:
CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss. 2710-2719 - Anurag Ranjan, Michael J. Black:
Optical Flow Estimation Using a Spatial Pyramid Network. 2720-2729 - Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-object Tracking. 2730-2739 - Kenichiro Tanaka, Yasuhiro Mukaigawa, Takuya Funatomi, Hiroyuki Kubo, Yasuyuki Matsushita, Yasushi Yagi:
Material Classification Using Frequency-and Depth-Dependent Time-of-Flight Distortion. 2740-2749 - Tobias Plötz, Stefan Roth:
Benchmarking Denoising Algorithms with Real Photographs. 2750-2759 - Jinsun Park, Yu-Wing Tai, Donghyeon Cho, In So Kweon:
A Unified Approach of Multi-scale Deep and Hand-Crafted Features for Defocus Estimation. 2760-2769 - Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua:
StyleBank: An Explicit Representation for Neural Image Style Transfer. 2770-2779 - Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi:
Specular Highlight Removal in Facial Images. 2780-2789 - Ying Tai, Jian Yang, Xiaoming Liu:
Image Super-Resolution via Deep Recursive Residual Network. 2790-2798 - Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. 2799-2807 - Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Learning Deep CNN Denoiser Prior for Image Restoration. 2808-2817 - Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang:
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. 2818-2827 - JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, Ming-Ming Cheng:
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence. 2828-2837 - Weihong Ren, Jiandong Tian, Zhi Han, Antoni B. Chan, Yandong Tang:
Video Desnowing and Deraining Based on Matrix Decomposition. 2838-2847 - Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi:
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. 2848-2857 - Min Bai, Raquel Urtasun:
Deep Watershed Transform for Instance Segmentation. 2858-2866 - David Novotný, Diane Larlus, Andrea Vedaldi:
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. 2867-2876 - Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, David A. Forsyth:
Learning Diverse Image Colorization. 2877-2885 - Shuai Yang, Jiaying Liu, Zhouhui Lian, Zongming Guo:
Awesome Typography: Statistics-Based Text Effects Transfer. 2886-2895 - Hang Zhang, Jia Xue, Kristin J. Dana:
Deep TEN: Texture Encoding Network. 2896-2905 - Bing Su, Gang Hua:
Order-Preserving Wasserstein Distance for Sequence Matching. 2906-2914 - Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. 2915-2924 - Heng Zhang, Vishal M. Patel, Rama Chellappa:
Hierarchical Multimodal Metric Learning for Multimodal Classification. 2925-2933 - Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar:
Efficient Linear Programming for Dense CRFs. 2934-2942 - Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. 2943-2952 - Paul Vernaza, Manmohan Chandraker:
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation. 2953-2961 - Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell:
Adversarial Discriminative Domain Adaptation. 2962-2971 - Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng:
Low-Rank-Sparse Subspace Representation for Robust Regression. 2972-2981 - Behrooz Mahasseni, Michael Lam, Sinisa Todorovic:
Unsupervised Video Summarization with Adversarial LSTM Networks. 2982-2991 - Carl Vondrick, Antonio Torralba:
Generating the Future with Adversarial Transformers. 2992-3000 - Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollár:
Semantic Amodal Segmentation. 3001-3009 - Li Zhang, Tao Xiang, Shaogang Gong:
Learning a Deep Embedding Model for Zero-Shot Learning. 3010-3019 - Jacob Chan, Jimmy Addison Lee, Qian Kemao:
BIND: Binary Integrated Net Descriptors for Texture-Less Object Recognition. 3020-3028 - Yu-Xiong Wang, Deva Ramanan, Martial Hebert:
Growing a Brain: Fine-Tuning by Increasing Model Capacity. 3029-3038 - Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta:
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. 3039-3048 - Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge J. Belongie:
Kernel Pooling for Convolutional Neural Networks. 3049-3058 - Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. 3059-3067 - Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba:
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. 3068-3076 - Yongqin Xian, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - The Good, the Bad and the Ugly. 3077-3086 - Samarth Brahmbhatt, James Hays:
DeepNav: Learning to Navigate Large Cities. 3087-3096 - Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei:
Scene Graph Generation by Iterative Message Passing. 3097-3106 - Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua:
Visual Translation Embedding Network for Visual Relation Detection. 3107-3115 - Ronan Sicre, Yannis Avrithis, Ewa Kijak, Frédéric Jurie:
Unsupervised Part Learning for Visual Recognition. 3116-3124 - Ruotian Luo, Gregory Shakhnarovich:
Comprehension-Guided Referring Expressions. 3125-3134 - Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko:
Top-Down Visual Saliency Guided by Captions. 3135-3144 - Qiong Wang, Junbin Gao, Hong Li:
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. 3145-3153 - Varun Jampani, Raghudeep Gadde, Peter V. Gehler:
Video Propagation Networks. 3154-3164 - Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. 3165-3174 - Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, Bernard Ghanem:
SCC: Semantic Context Cascade for Efficient Action Detection. 3175-3184 - Lorenzo Baraldi, Costantino Grana, Rita Cucchiara:
Hierarchical Boundary-Aware Neural Encoder for Video Captioning. 3185-3194 - Tan Yu, Yuwei Wu, Junsong Yuan:
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos. 3195-3204 - Ionut Cosmin Duta, Bogdan Ionescu, Kiyoharu Aizawa, Nicu Sebe:
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos. 3205-3214 - Ze-Huan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng:
Temporal Action Localization by Structured Maximal Sums. 3215-3223 - Yufan Liu, Songyang Zhang, Mai Xu, Xuming He:
Predicting Salient Face in Multiple-Face Videos. 3224-3232 - Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. 3233-3241 - Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher:
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. 3242-3250 - Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm:
Learned Contextual Feature Reweighting for Image Geo-Localization. 3251-3260