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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,