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# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016: all accepted papers

646 papers · page 4 of 7 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2016/)

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301. **[Improving Person Re-identification via Pose-Aware Multi-shot Matching ↗](https://doi.org/10.1109/cvpr.2016.151)**Yeong-Jun Cho, Kuk‐Jin Yoon*108 citations*
302. **[Efficient Training of Very Deep Neural Networks for Supervised Hashing ↗](https://doi.org/10.1109/cvpr.2016.165)**Ziming Zhang, Yuting Chen, Venkatesh Saligrama*107 citations*
303. **[Proposal Flow ↗](https://doi.org/10.1109/cvpr.2016.378)**Bumsub Ham, Minsu Cho, Cordelia Schmid et al.*106 citations*
304. **[Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration ↗](https://doi.org/10.1109/cvpr.2016.405)**Ying Fu, Yinqiang Zheng, Imari Sato et al.*105 citations*
305. **[Joint Recovery of Dense Correspondence and Cosegmentation in Two Images ↗](https://doi.org/10.1109/cvpr.2016.460)**Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato*105 citations*
306. **[Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs ↗](https://doi.org/10.1109/cvpr.2016.31)**Wei Shen, Kai Zhao, Yuan Jiang et al.*105 citations*
307. **[You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images ↗](https://doi.org/10.1109/cvpr.2016.106)**Chuang Gan, Ting Yao, Kuiyuan Yang et al.*105 citations*
308. **[GraB: Visual Saliency via Novel Graph Model and Background Priors ↗](https://doi.org/10.1109/cvpr.2016.64)**Qiaosong Wang, Wen Zheng, Robinson Piramuthu*104 citations*
309. **[Multi-cue Zero-Shot Learning with Strong Supervision ↗](https://doi.org/10.1109/cvpr.2016.14)**Zeynep Akata, Mateusz Malinowski, Mario Fritz et al.*104 citations*
310. **[Robust Kernel Estimation with Outliers Handling for Image Deblurring ↗](https://doi.org/10.1109/cvpr.2016.306)**Jinshan Pan, Zhouchen Lin, Zhixun Su et al.*104 citations*
311. **[Temporal Multimodal Learning in Audiovisual Speech Recognition ↗](https://doi.org/10.1109/cvpr.2016.389)**Di Hu, Xuelong Li, Xiaoqiang Lu*104 citations*
312. **[Robust Light Field Depth Estimation for Noisy Scene with Occlusion ↗](https://doi.org/10.1109/cvpr.2016.476)**Williem Williem, In Kyu Park*103 citations*
313. **[Soft-Segmentation Guided Object Motion Deblurring ↗](https://doi.org/10.1109/cvpr.2016.56)**Jinshan Pan, Zhe Hu, Zhixun Su et al.*103 citations*
314. **[Actionness Estimation Using Hybrid Fully Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2016.296)**Limin Wang, Yu Qiao, Xiaoou Tang et al.*102 citations*
315. **[HyperDepth: Learning Depth from Structured Light without Matching ↗](https://doi.org/10.1109/cvpr.2016.587)**Sean Fanello, Christoph Rhemann, Vladimir Tankovich et al.*102 citations*
316. **[Unconstrained Salient Object Detection via Proposal Subset Optimization ↗](https://doi.org/10.1109/cvpr.2016.618)**Jianming Zhang, Stan Sclaroff, Zhe Lin et al.*102 citations*
317. **[Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld ↗](https://doi.org/10.1109/cvpr.2016.610)**Menghua Zhai, Scott Workman, Nathan Jacobs*101 citations*
318. **[Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders ↗](https://doi.org/10.1109/cvpr.2016.373)**Jie Zhang, Meina Kan, Shiguang Shan et al.*100 citations*
319. **[Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds ↗](https://doi.org/10.1109/cvpr.2016.557)**Ming Yin, Yi Guo, Junbin Gao et al.*98 citations*
320. **[Unsupervised Learning of Discriminative Attributes and Visual Representations ↗](https://doi.org/10.1109/cvpr.2016.559)**Chen Huang, Chen Change Loy, Xiaoou Tang*98 citations*
321. **[Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion ↗](https://doi.org/10.1109/cvpr.2016.566)**Xavier Alameda-Pineda, Elisa Ricci, Yan Yan et al.*97 citations*
322. **[Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning ↗](https://doi.org/10.1109/cvpr.2016.643)**Ziad Al-Halah, Makarand Tapaswi, Rainer Stiefelhagen*96 citations*
323. **[Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views ↗](https://doi.org/10.1109/cvpr.2016.648)**Francisco Massa, Bryan Russell, Mathieu Aubry*95 citations*
324. **[Deep Reflectance Maps ↗](https://doi.org/10.1109/cvpr.2016.488)**Konstantinos Rematas, Tobias Ritschel, Mario Fritz et al.*95 citations*
325. **[High-Quality Depth from Uncalibrated Small Motion Clip ↗](https://doi.org/10.1109/cvpr.2016.584)**Hyowon Ha, Sunghoon Im, Jaesik Park et al.*95 citations*
326. **[Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data ↗](https://doi.org/10.1109/cvpr.2016.252)**Jing Wang, Yu Cheng, Rogério Feris*95 citations*
327. **[Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians ↗](https://doi.org/10.1109/cvpr.2016.604)**Peiyun Hu, Deva Ramanan*94 citations*
328. **[Egocentric Future Localization ↗](https://doi.org/10.1109/cvpr.2016.508)**Hyun Soo Park, Jyh-Jing Hwang, Yedong Niu et al.*94 citations*
329. **[LOMo: Latent Ordinal Model for Facial Analysis in Videos ↗](https://doi.org/10.1109/cvpr.2016.602)**Karan Sikka, Gaurav Sharma, Marian Stewart Bartlett*94 citations*
330. **[Group MAD Competition? A New Methodology to Compare Objective Image Quality Models ↗](https://doi.org/10.1109/cvpr.2016.184)**Kede Ma, Qingbo Wu, Zhou Wang et al.*93 citations*
331. **[What Sparse Light Field Coding Reveals about Scene Structure ↗](https://doi.org/10.1109/cvpr.2016.355)**Ole Johannsen, Antonin Sulc, Bastian Goldlüecke*93 citations*
332. **[What Players do with the Ball: A Physically Constrained Interaction Modeling ↗](https://doi.org/10.1109/cvpr.2016.111)**Andrii Maksai, Xinchao Wang, Pascal Fua*92 citations*
333. **[Personalizing Human Video Pose Estimation ↗](https://doi.org/10.1109/cvpr.2016.334)**James Charles, Tomas Pfister, Derek R. Magee et al.*90 citations*
334. **[Unsupervised Learning of Edges ↗](https://doi.org/10.1109/cvpr.2016.179)**Yin Li, Manohar Paluri, James Matthew Rehg et al.*89 citations*
335. **[Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions ↗](https://doi.org/10.1109/cvpr.2016.67)**Lilian Calvet, Pierre Gurdjos, Carsten Griwodz et al.*88 citations*
336. **[Efficiently Creating 3D Training Data for Fine Hand Pose Estimation ↗](https://doi.org/10.1109/cvpr.2016.536)**Markus Oberweger, Gernot Riegler, Paul Wohlhart et al.*88 citations*
337. **[Predicting the Where and What of Actors and Actions through Online Action Localization ↗](https://doi.org/10.1109/cvpr.2016.290)**Khurram Soomro, Haroon Idrees, Mubarak A. Shah*88 citations*
338. **[Harnessing Object and Scene Semantics for Large-Scale Video Understanding ↗](https://doi.org/10.1109/cvpr.2016.339)**Zuxuan Wu, Yanwei Fu, Yu–Gang Jiang et al.*87 citations*
339. **[Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling ↗](https://doi.org/10.1109/cvpr.2016.346)**Maros Blaha, Christoph A. Vogel, Audrey Richard et al.*87 citations*
340. **[Adaptive Object Detection Using Adjacency and Zoom Prediction ↗](https://doi.org/10.1109/cvpr.2016.258)**Yongxi Lu, Tara Javidi, Svetlana Lazebnik*86 citations*
341. **[Blind Image Deconvolution by Automatic Gradient Activation ↗](https://doi.org/10.1109/cvpr.2016.202)**Dong Gong, Mingkui Tan, Yanning Zhang et al.*85 citations*
342. **[PatchBatch: A Batch Augmented Loss for Optical Flow ↗](https://doi.org/10.1109/cvpr.2016.459)**David Gadot, Lior Wolf*85 citations*
343. **[Learning to Match Aerial Images with Deep Attentive Architectures ↗](https://doi.org/10.1109/cvpr.2016.385)**Hani Altwaijry, Eduard Trulls, James H. Hays et al.*84 citations*
344. **[VLAD3: Encoding Dynamics of Deep Features for Action Recognition ↗](https://doi.org/10.1109/cvpr.2016.215)**Yingwei Li, Weixin Li, Vijay Mahadevan et al.*83 citations*
345. **[Fits Like a Glove: Rapid and Reliable Hand Shape Personalization ↗](https://doi.org/10.1109/cvpr.2016.605)**David Joseph Tan, Thomas J. Cashman, Jonathan Taylor et al.*82 citations*
346. **[Mining 3D Key-Pose-Motifs for Action Recognition ↗](https://doi.org/10.1109/cvpr.2016.289)**Chunyu Wang, Yizhou Wang, Alan Yuille*82 citations*
347. **[Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation ↗](https://doi.org/10.1109/cvpr.2016.342)**Shu Liu, Xiaojuan Qi, Jianping Shi et al.*82 citations*
348. **[Slicing Convolutional Neural Network for Crowd Video Understanding ↗](https://doi.org/10.1109/cvpr.2016.606)**Jing Shao, Chen Change Loy, Kai Kang et al.*82 citations*
349. **[Automated 3D Face Reconstruction from Multiple Images Using Quality Measures ↗](https://doi.org/10.1109/cvpr.2016.372)**Marcel Piotraschke, Volker Blanz*81 citations*
350. **[Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold ↗](https://doi.org/10.1109/cvpr.2016.487)**Xikang Zhang, Yin Wang, Mengran Gou et al.*81 citations*
351. **[VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes ↗](https://doi.org/10.1109/cvpr.2016.539)**Satwik Kottur, Ramakrishna Vedantam, José M. F. Moura et al.*81 citations*
352. **[Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking ↗](https://doi.org/10.1109/cvpr.2016.81)**Rong Quan, Junwei Han, Dingwen Zhang et al.*80 citations*
353. **[Inferring Forces and Learning Human Utilities from Videos ↗](https://doi.org/10.1109/cvpr.2016.415)**Yixin Zhu, Chenfanfu Jiang, Yibiao Zhao et al.*79 citations*
354. **[Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection ↗](https://doi.org/10.1109/cvpr.2016.370)**Yue Wu, Qiang Ji*78 citations*
355. **[From Noise Modeling to Blind Image Denoising ↗](https://doi.org/10.1109/cvpr.2016.52)**Fengyuan Zhu, Guangyong Chen, Pheng‐Ann Heng*78 citations*
356. **[Recognizing Micro-Actions and Reactions from Paired Egocentric Videos ↗](https://doi.org/10.1109/cvpr.2016.288)**Ryo Yonetani, Kris Kitani, Yoichi Sato*78 citations*
357. **[Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry ↗](https://doi.org/10.1109/cvpr.2016.448)**Yuchao Dai, Hongdong Li, Laurent Kneip*78 citations*
358. **[Deep Decision Network for Multi-class Image Classification ↗](https://doi.org/10.1109/cvpr.2016.246)**Venkatesh N. Murthy, Vivek Kumar Singh, Terrence Chen et al.*77 citations*
359. **[Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras ↗](https://doi.org/10.1109/cvpr.2016.270)**Seoung Wug Oh, Michael S. Brown, Marc Pollefeys et al.*77 citations*
360. **[Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising ↗](https://doi.org/10.1109/cvpr.2016.519)**Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu*76 citations*
361. **[Fast Zero-Shot Image Tagging ↗](https://doi.org/10.1109/cvpr.2016.644)**Yang Zhang, Boqing Gong, Mubarak Shah*75 citations*
362. **[Hierarchically Gated Deep Networks for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2016.249)**Guo-Jun Qi*75 citations*
363. **[Multiple Models Fitting as a Set Coverage Problem ↗](https://doi.org/10.1109/cvpr.2016.361)**Luca Magri, Andrea Fusiello*75 citations*
364. **[Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions ↗](https://doi.org/10.1109/cvpr.2016.82)**Won-Dong Jang, Chulwoo Lee, Chang‐Su Kim*75 citations*
365. **[Supervised Quantization for Similarity Search ↗](https://doi.org/10.1109/cvpr.2016.222)**Xiaojuan Wang, Ting Zhang, Guo-Jun Qi et al.*74 citations*
366. **[Efficient 3D Room Shape Recovery from a Single Panorama ↗](https://doi.org/10.1109/cvpr.2016.585)**Hao Yang, Hui Zhang*72 citations*
367. **[Some Like It Hot — Visual Guidance for Preference Prediction ↗](https://doi.org/10.1109/cvpr.2016.599)**Rasmus Rothe, Radu Timofte, Luc Van Gool*72 citations*
368. **[A Text Detection System for Natural Scenes with Convolutional Feature Learning and Cascaded Classification ↗](https://doi.org/10.1109/cvpr.2016.74)**Siyu Zhu, Richard Zanibbi*70 citations*
369. **[Comparative Deep Learning of Hybrid Representations for Image Recommendations ↗](https://doi.org/10.1109/cvpr.2016.279)**Chenyi Lei, Dong Liu, Weiping Li et al.*70 citations*
370. **[Logistic Boosting Regression for Label Distribution Learning ↗](https://doi.org/10.1109/cvpr.2016.486)**Chao Xing, Xin Geng, Hui Xue*70 citations*
371. **[Computational Imaging for VLBI Image Reconstruction ↗](https://doi.org/10.1109/cvpr.2016.105)**Katherine L. Bouman, Michael D. Johnson, Daniel Zoran et al.*69 citations*
372. **[Modality and Component Aware Feature Fusion for RGB-D Scene Classification ↗](https://doi.org/10.1109/cvpr.2016.645)**Anran Wang, Jianfei Cai, Jiwen Lu et al.*69 citations*
373. **[Accelerated Generative Models for 3D Point Cloud Data ↗](https://doi.org/10.1109/cvpr.2016.593)**Ben Eckart, Kihwan Kim, Alejandro J. Troccoli et al.*68 citations*
374. **[Progressively Parsing Interactional Objects for Fine Grained Action Detection ↗](https://doi.org/10.1109/cvpr.2016.116)**Bingbing Ni, Xiaokang Yang, Shenghua Gao*68 citations*
375. **[ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching ↗](https://doi.org/10.1109/cvpr.2016.601)**Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song et al.*67 citations*
376. **[A Consensus-Based Framework for Distributed Bundle Adjustment ↗](https://doi.org/10.1109/cvpr.2016.194)**Anders P. Eriksson, John Bastian, Tat-Jun Chin et al.*66 citations*
377. **[3D Part-Based Sparse Tracker with Automatic Synchronization and Registration ↗](https://doi.org/10.1109/cvpr.2016.160)**Adel Bibi, Tianzhu Zhang, Bernard Ghanem*65 citations*
378. **[3D Reconstruction of Transparent Objects with Position-Normal Consistency ↗](https://doi.org/10.1109/cvpr.2016.473)**Yiming Qian, Minglun Gong, Yee‐Hong Yang*65 citations*
379. **[Object-Proposal Evaluation Protocol is ‘Gameable’ ↗](https://doi.org/10.1109/cvpr.2016.97)**Neelima Chavali, Harsh Agrawal, Aroma Mahendru et al.*65 citations*
380. **[Semantic Channels for Fast Pedestrian Detection ↗](https://doi.org/10.1109/cvpr.2016.259)**Arthur Daniel Costea, Sergiu Nedevschi*65 citations*
381. **[Loss Functions for Top-k Error: Analysis and Insights ↗](https://doi.org/10.1109/cvpr.2016.163)**Maksim Lapin, Matthias Hein, Bernt Schiele*64 citations*
382. **[Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection ↗](https://doi.org/10.1109/cvpr.2016.386)**Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee*63 citations*
383. **[A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video ↗](https://doi.org/10.1109/cvpr.2016.197)**Guibo Luo, Yuesheng Zhu, Zhaotian Li et al.*62 citations*
384. **[Automatic Content-Aware Color and Tone Stylization ↗](https://doi.org/10.1109/cvpr.2016.271)**Joon‐Young Lee, Kalyan Sunkavalli, Zhe Lin et al.*62 citations*
385. **[ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.379)**Chen Sun, Manohar Paluri, Ronan Collobert et al.*62 citations*
386. **[A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond ↗](https://doi.org/10.1109/cvpr.2016.62)**Neil D. B. Bruce, Christopher Catton, Saša Janjić*61 citations*
387. **[Efficient Intersection of Three Quadrics and Applications in Computer Vision ↗](https://doi.org/10.1109/cvpr.2016.199)**Zuzana Kúkelová, Jan Heller, Andrew W Fitzgibbon*61 citations*
388. **[Efficient and Robust Color Consistency for Community Photo Collections ↗](https://doi.org/10.1109/cvpr.2016.53)**Jaesik Park, Yu‐Wing Tai, Sudipta N. Sinha et al.*61 citations*
389. **[Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes ↗](https://doi.org/10.1109/cvpr.2016.504)**Armin Mustafa, Hansung Kim, Jean‐Yves Guillemaut et al.*61 citations*
390. **[ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels ↗](https://doi.org/10.1109/cvpr.2016.104)**Huaijin Chen, Suren Jayasuriya, Jiyue Yang et al.*60 citations*
391. **[Recognizing Activities of Daily Living with a Wrist-Mounted Camera ↗](https://doi.org/10.1109/cvpr.2016.338)**Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki et al.*60 citations*
392. **[Robust Visual Place Recognition with Graph Kernels ↗](https://doi.org/10.1109/cvpr.2016.491)**Elena S. Stumm, Christopher Mei A, Simon Lacroix et al.*60 citations*
393. **[Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.277)**Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst et al.*59 citations*
394. **[RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition ↗](https://doi.org/10.1109/cvpr.2016.480)**Qilong Wang, Peihua Li, Wangmeng Zuo et al.*59 citations*
395. **[Collaborative Quantization for Cross-Modal Similarity Search ↗](https://doi.org/10.1109/cvpr.2016.224)**Ting Zhang, Jingdong Wang*58 citations*
396. **[Pairwise Linear Regression Classification for Image Set Retrieval ↗](https://doi.org/10.1109/cvpr.2016.526)**Qingxiang Feng, Yicong Zhou, Rushi Lan*57 citations*
397. **[SemiContour: A Semi-Supervised Learning Approach for Contour Detection ↗](https://doi.org/10.1109/cvpr.2016.34)**Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi et al.*57 citations*
398. **[Weakly Supervised Deep Detection Networks ↗](https://doi.org/10.1109/cvpr.2016.311)**Hakan Bilen, Andrea Vedaldi*57 citations*
399. **[iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning ↗](https://doi.org/10.1109/cvpr.2016.244)**Ali Borji, Saeed Izadi, Laurent Itti*57 citations*
400. **[Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding ↗](https://doi.org/10.1109/cvpr.2016.26)**Michael Maire, Takuya Narihira, Stella X. Yu*56 citations*

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