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

646 papers · page 6 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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501. **[Multiview Image Completion with Space Structure Propagation ↗](https://doi.org/10.1109/cvpr.2016.59)**Seung-Hwan Baek, Inchang Choi, Min H. Kim*28 citations*
502. **[PPP: Joint Pointwise and Pairwise Image Label Prediction ↗](https://doi.org/10.1109/cvpr.2016.646)**Yilin Wang, Suhang Wang, Jiliang Tang et al.*28 citations*
503. **[Tensor Power Iteration for Multi-graph Matching ↗](https://doi.org/10.1109/cvpr.2016.547)**Xinchu Shi, Haibin Ling, Weiming Hu et al.*28 citations*
504. **[A Direct Least-Squares Solution to the PnP Problem with Unknown Focal Length ↗](https://doi.org/10.1109/cvpr.2016.198)**Yinqiang Zheng, Laurent Kneip*27 citations*
505. **[A Multi-level Contextual Model for Person Recognition in Photo Albums ↗](https://doi.org/10.1109/cvpr.2016.145)**Haoxiang Li, Jonathan Brandt, Zhe Lin et al.*27 citations*
506. **[Efficient Point Process Inference for Large-Scale Object Detection ↗](https://doi.org/10.1109/cvpr.2016.310)**Trung Thanh Pham, S. Hamid Rezatofighi, Ian D. Reid et al.*27 citations*
507. **[Occlusion Boundary Detection via Deep Exploration of Context ↗](https://doi.org/10.1109/cvpr.2016.33)**Huan Fu, Chaohui Wang, Dacheng Tao et al.*27 citations*
508. **[POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models ↗](https://doi.org/10.1109/cvpr.2016.121)**Yeong Jun Koh, Won-Dong Jang, Chang‐Su Kim*27 citations*
509. **[Panoramic Stereo Videos with a Single Camera ↗](https://doi.org/10.1109/cvpr.2016.408)**Rajat Aggarwal, Vohra Amrisha, Anoop Namboodiri*27 citations*
510. **[Visual Path Prediction in Complex Scenes with Crowded Moving Objects ↗](https://doi.org/10.1109/cvpr.2016.292)**Youngjoon Yoo, Kimin Yun, Sangdoo Yun et al.*27 citations*
511. **[Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture ↗](https://doi.org/10.1109/cvpr.2016.359)**Diego Thomas, Rin-ichiro Taniguchi*26 citations*
512. **[Globally Optimal Manhattan Frame Estimation in Real-Time ↗](https://doi.org/10.1109/cvpr.2016.195)**Kyungdon Joo, Tae-Hyun Oh, Junsik Kim et al.*26 citations*
513. **[Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences ↗](https://doi.org/10.1109/cvpr.2016.109)**Hongkai Yu, Youjie Zhou, Jeff P. Simmons et al.*26 citations*
514. **[Joint Probabilistic Matching Using m-Best Solutions ↗](https://doi.org/10.1109/cvpr.2016.22)**S. Hamid Rezatofighi, Anton Milani, Zhen Zhang et al.*26 citations*
515. **[Convexity Shape Constraints for Image Segmentation ↗](https://doi.org/10.1109/cvpr.2016.50)**Löıc A. Royer, David Richmond, Carsten Rother et al.*25 citations*
516. **[Layered Scene Decomposition via the Occlusion-CRF ↗](https://doi.org/10.1109/cvpr.2016.25)**Chen Liu, Pushmeet Kohli, Yasutaka Furukawa*25 citations*
517. **[Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence ↗](https://doi.org/10.1109/cvpr.2016.360)**Jin Xie, Meng Wang, Yi Fang*25 citations*
518. **[Needle-Match: Reliable Patch Matching under High Uncertainty ↗](https://doi.org/10.1109/cvpr.2016.54)**Or Lotan, Michal Irani*25 citations*
519. **[The Multiverse Loss for Robust Transfer Learning ↗](https://doi.org/10.1109/cvpr.2016.429)**Etai Littwin, Lior Wolf*25 citations*
520. **[3D Shape Attributes ↗](https://doi.org/10.1109/cvpr.2016.168)**David F. Fouhey, Abhinav Gupta, Andrew Zisserman*24 citations*
521. **[A Robust Multilinear Model Learning Framework for 3D Faces ↗](https://doi.org/10.1109/cvpr.2016.531)**Timo Bolkart, Stefanie Wuhrer*24 citations*
522. **[Aggregating Image and Text Quantized Correlated Components ↗](https://doi.org/10.1109/cvpr.2016.225)**Thi Quynh Nhi Tran, Hervé Le Borgne, Michel Crucianu*24 citations*
523. **[Blockout: Dynamic Model Selection for Hierarchical Deep Networks ↗](https://doi.org/10.1109/cvpr.2016.283)**Calvin Murdock, Zhen Li, Howard Zhou et al.*24 citations*
524. **[Camera Calibration from Dynamic Silhouettes Using Motion Barcodes ↗](https://doi.org/10.1109/cvpr.2016.444)**Gil Ben-Artzi, Yoni Kasten, Shmuel Peleg et al.*24 citations*
525. **[Pull the Plug? Predicting If Computers or Humans Should Segment Images ↗](https://doi.org/10.1109/cvpr.2016.48)**Danna Gurari, Suyog Dutt Jain, Margrit Betke et al.*24 citations*
526. **[Sparse Coding and Dictionary Learning with Linear Dynamical Systems ↗](https://doi.org/10.1109/cvpr.2016.427)**Wenbing Huang, Fuchun Sun, Lele Cao et al.*24 citations*
527. **[Symmetry reCAPTCHA ↗](https://doi.org/10.1109/cvpr.2016.558)**Christopher Funk, Yanxi Liu*24 citations*
528. **[Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations ↗](https://doi.org/10.1109/cvpr.2016.241)**Viktoriia Sharmanska, Daniel Hernández-Lobato, José Miguel Hernández-Lobato et al.*23 citations*
529. **[Coherent Parametric Contours for Interactive Video Object Segmentation ↗](https://doi.org/10.1109/cvpr.2016.76)**Yao Lu, Xue Bai, Linda G. Shapiro et al.*23 citations*
530. **[Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction ↗](https://doi.org/10.1109/cvpr.2016.591)**Silvano Galliani, Konrad Schindler*23 citations*
531. **[Online Reconstruction of Indoor Scenes from RGB-D Streams ↗](https://doi.org/10.1109/cvpr.2016.356)**Hao Wang, Jun Wang, Liang Wang*23 citations*
532. **[Region Ranking SVM for Image Classification ↗](https://doi.org/10.1109/cvpr.2016.326)**Zijun Wei, Minh Hoai*23 citations*
533. **[When Naïve Bayes Nearest Neighbors Meet Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.231)**Ilja Kuzborskij, Fabio Maria Carlucci, Barbara Caputo*23 citations*
534. **[Closed-Form Training of Mahalanobis Distance for Supervised Clustering ↗](https://doi.org/10.1109/cvpr.2016.424)**Marc T. Law, Yaoliang Yu, Matthieu Cord et al.*22 citations*
535. **[Coordinating Multiple Disparity Proposals for Stereo Computation ↗](https://doi.org/10.1109/cvpr.2016.436)**Ang Li, Dapeng Chen, Yuanliu Liu et al.*22 citations*
536. **[Moral Lineage Tracing ↗](https://doi.org/10.1109/cvpr.2016.638)**Florian Jug, Evgeny Levinkov, Corinna Blasse et al.*22 citations*
537. **[Refining Architectures of Deep Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.243)**Sukrit Shankar, Duncan Robertson, Yani Ioannou et al.*22 citations*
538. **[Shape Analysis with Hyperbolic Wasserstein Distance ↗](https://doi.org/10.1109/cvpr.2016.546)**Jie Shi, Wen Zhang, Yalin Wang*22 citations*
539. **[Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple Scales ↗](https://doi.org/10.1109/cvpr.2016.42)**Tsun-Yi Yang, Yen‐Yu Lin, Yung‐Yu Chuang*21 citations*
540. **[BORDER: An Oriented Rectangles Approach to Texture-Less Object Recognition ↗](https://doi.org/10.1109/cvpr.2016.312)**Jacob Chan, Jimmy Addison Lee, Qian Kemao*21 citations*
541. **[Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation ↗](https://doi.org/10.1109/cvpr.2016.603)**Dipan K. Pal, Felix Juefei-Xu, Marios Savvides*20 citations*
542. **[Improving Human Action Recognition by Non-action Classification ↗](https://doi.org/10.1109/cvpr.2016.295)**Yang Wang, Minh Hoai*20 citations*
543. **[Parametric Object Motion from Blur ↗](https://doi.org/10.1109/cvpr.2016.204)**Jochen Gast, Anita Sellent, Stefan Roth*20 citations*
544. **[Robust, Real-Time 3D Tracking of Multiple Objects with Similar Appearances ↗](https://doi.org/10.1109/cvpr.2016.463)**Taiki Sekii*20 citations*
545. **[Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation ↗](https://doi.org/10.1109/cvpr.2016.534)**Suha Kwak, Minsu Cho, Ivan Laptev A*20 citations*
546. **[Automatic Fence Segmentation in Videos of Dynamic Scenes ↗](https://doi.org/10.1109/cvpr.2016.83)**Renjiao Yi, Jue Wang, Ping Tan*19 citations*
547. **[Depth from Semi-Calibrated Stereo and Defocus ↗](https://doi.org/10.1109/cvpr.2016.404)**Ting-Chun Wang, Manohar B. Srikanth, Ravi Ramamoorthi*19 citations*
548. **[Efficient Large-Scale Similarity Search Using Matrix Factorization ↗](https://doi.org/10.1109/cvpr.2016.228)**Ahmet İşcen, Michael Rabbat, Teddy Furon*19 citations*
549. **[Principled Parallel Mean-Field Inference for Discrete Random Fields ↗](https://doi.org/10.1109/cvpr.2016.630)**Pierre Baqué, Timur Bagautdinov, François Fleuret et al.*19 citations*
550. **[Real-Time Depth Refinement for Specular Objects ↗](https://doi.org/10.1109/cvpr.2016.474)**Roy Or-El, Rom Hershkovitz, Aaron Wetzler et al.*19 citations*
551. **[Progressive Feature Matching with Alternate Descriptor Selection and Correspondence Enrichment ↗](https://doi.org/10.1109/cvpr.2016.44)**Yuan-Ting Hu, Yen‐Yu Lin*18 citations*
552. **[Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations ↗](https://doi.org/10.1109/cvpr.2016.569)**Xian Hua Wei, Hao Shen, Martin Kleinsteuber*18 citations*
553. **[We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification ↗](https://doi.org/10.1109/cvpr.2016.99)**Dim P. Papadopoulos, Jasper Uijlings, Frank Keller et al.*18 citations*
554. **[Functional Faces: Groupwise Dense Correspondence Using Functional Maps ↗](https://doi.org/10.1109/cvpr.2016.544)**Chao Zhang, William A. P. Smith, Arnaud Dessein et al.*17 citations*
555. **[Learning to Localize Little Landmarks ↗](https://doi.org/10.1109/cvpr.2016.35)**Saurabh Singh, Derek Hoiem, David Alexander Forsyth*17 citations*
556. **[Scene Labeling Using Sparse Precision Matrix ↗](https://doi.org/10.1109/cvpr.2016.397)**Nasim Souly, Mubarak A. Shah*17 citations*
557. **[6D Dynamic Camera Relocalization from Single Reference Image ↗](https://doi.org/10.1109/cvpr.2016.439)**Wei Feng, Fei-Peng Tian, Qian Zhang et al.*16 citations*
558. **[Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification ↗](https://doi.org/10.1109/cvpr.2016.561)**Hà Quang Minh, Marco San Biagio, Loris Bazzani et al.*16 citations*
559. **[Predicting When Saliency Maps are Accurate and Eye Fixations Consistent ↗](https://doi.org/10.1109/cvpr.2016.65)**Anna Volokitin, Michael Gygli, Xavier Boix*16 citations*
560. **[Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry ↗](https://doi.org/10.1109/cvpr.2016.269)**Gyeongmin Choe, Srinivasa G. Narasimhan, In So Kweon*16 citations*
561. **[Force from Motion: Decoding Physical Sensation in a First Person Video ↗](https://doi.org/10.1109/cvpr.2016.416)**Hyun Soo Park, Jyh-Jing Hwang, Jianbo Shi*15 citations*
562. **[Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses ↗](https://doi.org/10.1109/cvpr.2016.192)**Haifei Huang, Hui Zhang, Yiu‐ming Cheung*15 citations*
563. **[MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors ↗](https://doi.org/10.1109/cvpr.2016.51)**Ertunç Erdil, Sinan Yıldırım, Müjdat Çetin et al.*15 citations*
564. **[Multivariate Regression on the Grassmannian for Predicting Novel Domains ↗](https://doi.org/10.1109/cvpr.2016.548)**Yongxin Yang, Timothy M. Hospedales*15 citations*
565. **[Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering ↗](https://doi.org/10.1109/cvpr.2016.72)**Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann et al.*15 citations*
566. **[Deep SimNets ↗](https://doi.org/10.1109/cvpr.2016.517)**Nadav Cohen, Or Sharir, Amnon Shashua*14 citations*
567. **[Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation ↗](https://doi.org/10.1109/cvpr.2016.607)**Florian Bernard, Peter Gemmar, Frank Hertel et al.*14 citations*
568. **[Metric Learning as Convex Combinations of Local Models with Generalization Guarantees ↗](https://doi.org/10.1109/cvpr.2016.164)**Valentina Zantedeschi, Rémi Emonet, Marc Sebban*14 citations*
569. **[Optimal Relative Pose with Unknown Correspondences ↗](https://doi.org/10.1109/cvpr.2016.191)**Johan Fredriksson, Viktor Larsson, Carl Olsson et al.*14 citations*
570. **[Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff ↗](https://doi.org/10.1109/cvpr.2016.406)**Julie Chang, Isaac Kauvar, Xuemei Hu et al.*14 citations*
571. **[A New Finsler Minimal Path Model with Curvature Penalization for Image Segmentation and Closed Contour Detection ↗](https://doi.org/10.1109/cvpr.2016.45)**Da Chen, Jean‐Marie Mirebeau, Laurent David Cohen*13 citations*
572. **[An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds ↗](https://doi.org/10.1109/cvpr.2016.431)**Rudrasis Chakraborty, Dohyung Seo, Baba C. Vemuri*13 citations*
573. **[Learning to Co-Generate Object Proposals with a Deep Structured Network ↗](https://doi.org/10.1109/cvpr.2016.281)**Zeeshan Hayder, Xuming He, Mathieu Salzmann*13 citations*
574. **[Min Norm Point Algorithm for Higher Order MRF-MAP Inference ↗](https://doi.org/10.1109/cvpr.2016.579)**Ishant Shanu, Chetan Arora, Parag Singla*13 citations*
575. **[Robust Multi-Body Feature Tracker: A Segmentation-Free Approach ↗](https://doi.org/10.1109/cvpr.2016.417)**Pan Ji, Hongdong Li, Mathieu Salzmann et al.*13 citations*
576. **[Subspace Clustering with Priors via Sparse Quadratically Constrained Quadratic Programming ↗](https://doi.org/10.1109/cvpr.2016.562)**Yongfang Cheng, Yin Wang, Mario Sznaier et al.*13 citations*
577. **[Video-Story Composition via Plot Analysis ↗](https://doi.org/10.1109/cvpr.2016.340)**Jinsoo Choi, Tae-Hyun Oh, In So Kweon*13 citations*
578. **[An Empirical Evaluation of Current Convolutional Architectures’ Ability to Manage Nuisance Location and Scale Variability ↗](https://doi.org/10.1109/cvpr.2016.481)**Nikolaos Karianakis, Jingming Dong, Stefano Soatto*12 citations*
579. **[Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework ↗](https://doi.org/10.1109/cvpr.2016.574)**Yong‐Deok Kim, Taewoong Jang, Bohyung Han et al.*12 citations*
580. **[ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering ↗](https://doi.org/10.1109/cvpr.2016.88)**Zhang Zhang, Kaiqi Huang, Tieniu Tan et al.*12 citations*
581. **[Similarity Metric for Curved Shapes in Euclidean Space ↗](https://doi.org/10.1109/cvpr.2016.545)**Girum Demisse, Djamila Aouada, Björn Ottersten*12 citations*
582. **[Active Learning for Delineation of Curvilinear Structures ↗](https://doi.org/10.1109/cvpr.2016.565)**Agata Mosinska, Raphael Sznitman, Przemysław Głowacki et al.*11 citations*
583. **[Determining Occlusions from Space and Time Image Reconstructions ↗](https://doi.org/10.1109/cvpr.2016.154)**Juan-Manuel Pérez-Rúa, Tomás Crivelli, Patrick Bouthémy et al.*11 citations*
584. **[Estimating Correspondences of Deformable Objects “In-the-Wild” ↗](https://doi.org/10.1109/cvpr.2016.624)**Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina et al.*11 citations*
585. **[In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region Segmentation ↗](https://doi.org/10.1109/cvpr.2016.49)**Yuka Kihara, Matvey Soloviev, Tsuhan Chen*11 citations*
586. **[Kinematic Structure Correspondences via Hypergraph Matching ↗](https://doi.org/10.1109/cvpr.2016.457)**Hyung Jin Chang, Tobias Fischer, Maxime Petit et al.*11 citations*
587. **[Recognizing Car Fluents from Video ↗](https://doi.org/10.1109/cvpr.2016.413)**Bo Li, Tianfu Wu, Caiming Xiong et al.*11 citations*
588. **[Information-Driven Adaptive Structured-Light Scanners ↗](https://doi.org/10.1109/cvpr.2016.101)**Guy Rosman, Daniela L. Rus, John Sheridan Fisher*10 citations*
589. **[Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning ↗](https://doi.org/10.1109/cvpr.2016.430)**Viktoriia Sharmanska, Novi Quadrianto*10 citations*
590. **[Learnt Quasi-Transitive Similarity for Retrieval from Large Collections of Faces ↗](https://doi.org/10.1109/cvpr.2016.528)**Ognjen Arandjelović*10 citations*
591. **[Large Scale Hard Sample Mining with Monte Carlo Tree Search ↗](https://doi.org/10.1109/cvpr.2016.554)**Olivier Canévet, François Fleuret*9 citations*
592. **[Piecewise-Planar 3D Approximation from Wide-Baseline Stereo ↗](https://doi.org/10.1109/cvpr.2016.362)**Cédric Verleysen, Christophe De Vleeschouwer*9 citations*
593. **[Shortlist Selection with Residual-Aware Distance Estimator for K-Nearest Neighbor Search ↗](https://doi.org/10.1109/cvpr.2016.221)**Jae‐Pil Heo, Zhe Lin, Xiaohui Shen et al.*9 citations*
594. **[Spatially Binned ROC: A Comprehensive Saliency Metric ↗](https://doi.org/10.1109/cvpr.2016.63)**Calden Wloka, John K. Tsotsos*9 citations*
595. **[What’s Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution ↗](https://doi.org/10.1109/cvpr.2016.174)**Peng Wang, Lingqiao Liu, Chunhua Shen et al.*9 citations*
596. **[Conformal Surface Alignment with Optimal Möbius Search ↗](https://doi.org/10.1109/cvpr.2016.275)**Huu Le, Tat-Jun Chin, David Suter*8 citations*
597. **[Discovering the Physical Parts of an Articulated Object Class from Multiple Videos ↗](https://doi.org/10.1109/cvpr.2016.84)**Luca Del Pero, Susanna Ricco, Rahul Sukthankar et al.*8 citations*
598. **[Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning ↗](https://doi.org/10.1109/cvpr.2016.564)**Yusuke Mukuta, Tatsuya Harada*8 citations*
599. **[Single Image Camera Calibration with Lenticular Arrays for Augmented Reality ↗](https://doi.org/10.1109/cvpr.2016.358)**Ian Schillebeeckx, Robert B. Pless*8 citations*
600. **[Structured Receptive Fields in CNNs ↗](https://doi.org/10.1109/cvpr.2016.286)**Jörn-Henrik Jacobsen, Jan C. van Gemert, Zhongyu Lou et al.*8 citations*

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