Oral presentation
oral出来了，只有40篇文章，录取率只有大概2.3%。先Mark一下，等出来后选感兴趣的看几篇
| Paper id | Paper title | Author names |
|---|---|---|
| 13 | Diverse M-Best Solutions in Markov Random Fields | Dhruv Batra*, Toyota Technological Institute at Chicago (TTIC) ; Payman Yadollahpour, TTIC; Abner Guzman-Rivera, UIUC; Greg Shakhnarovich, TTIC |
| 17 | Attributes for classifier feedback | Amar Prakash, IIIT-D; Devi Parikh*, TTIC |
| 85 | Reconstructing the World’s Museums | Jianxiong Xiao*, MIT; Yasutaka Furukawa, Google |
| 100 | Frequency-Space Decomposition and Acquisition of Light Transport under Spatially Varying Illumination | Dikpal Reddy*, UC Berkeley; Ravi Ramamoorthi, ; Brian Curless, |
| 127 | Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost | Thomas Mensink*, INRIA Rhone Alpes; Jakob Verbeek, ; Gabriela Csurka, XRCE; Florent Perronnin, XRCE |
| 150 | Segmentation Propagation in ImageNet | Daniel Kuettel*, ETH Zurich; Matthieu Guillaumin, ETH Zürich; Vittorio Ferrari, |
| 152 | A Unified Framework for Multi-Target Tracking and Collective Activity Recognition | Wongun Choi*, The University of Michigan; Silvio Savarese, The University of Michigan, Ann Arbor |
| 175 | Exact Acceleration of Linear Object Detectors | Charles Dubout*, Idiap; François Fleuret, Idiap |
| 214 | Shape Sharing for Object Segmentation | Jaechul Kim*, University of Texas at Austin; Kristen Grauman, |
| 236 | Activity Forecasting | Kris Kitani*, Carnegie Mellon University; James Bagnell, ; Martial Hebert, |
| 276 | Action Recognition with Exemplar Based 2.5D Graph Matching | Bangpeng Yao*, Stanford University; Li Fei-fei, |
| 331 | People Watching: Human Actions as a Cue for Single View Geometry | David Fouhey*, Carnegie Mellon University; Vincent Delaitre, ; Alyosha Efros, CMU; Abhinav Gupta, ; Ivan Laptev, ; Josef Sivic, INRIA / Ecole Normale Superieure |
| 354 | Depth Extraction from Video Using Non-parametric Sampling | Kevin Karsch*, UIUC; Ce Liu, Microsoft Research New England; Sing Bing Kang, Microsoft Research |
| 405 | Constrained Bootstrapping for Image Classification via Attributes and Comparative Attributes | Abhinav Shrivastava*, Carnegie Mellon University; Saurabh Singh, Carnegie Mellon University; Abhinav Gupta, Carnegie Mellon University |
| 440 | “Clustering by Composition” for Unsupervised Discovery of Image Categories | Michal Irani; Alon Faktor |
| 708 | Detecting and Localizing Activities at Different Scales under Budget | Mohamed Amer*, Oregon State University; Dan Xie, UCLA; Mingtian Zhao , UCLA; Yaofei Feng, OREGON STATE UNIVERSITY; Behrooz Mahasseni, OREGON STATE UNIVERSITY; Sinisa Todorovic, Oregon State University; Song-Chun Zhu, UCLA |
| 811 | Latent Hough Transform for Object Detection | Nima Razavi*, ETH Zurich; Juergen Gall, ETH Zurich; Pushmeet Kohli, ; Luc Van Gool, |
| 848 | A QCQP Approach to Triangulation | Chris Aholt*, University of Washington; Sameer Agarwal, Google; Rekha Thomas, University of Washington |
| 866 | Recognizing Actions, Poses, and Objects with Relational Phraselets | Chaitanya Desai*, University of California Irvine; Deva Ramanan, |
| 880 | Generic Cuts: An Efficient Optimal Algorithm for Submodular MRF-MAP Problems with Higher Order Cliques | Chetan Arora*, IIT Delhi; Subhashis Banerjee, IIT Delhi; Prem Kalra, IIT Delhi; S.N. Maheshwari, IIT Delhi |
| 959 | A Three-Layered Approach to Facade Parsing | Andelo Martinovic*, KU Leuven; Markus Mathias, KU Leuven; Julien Weissenberg, ETHZ; Luc Van Gool, KU Leuven |
| 981 | Multiple View Object Cosegmentation using Appearance and Stereo Cues | Adarsh Kowdle*, Cornell University; Sudipta Sinha, ; Rick Szeliski, |
| 1024 | Using linking features in learning non-parametric part models | Leonid Karlinsky*, Weizmann Institute of Science; Shimon Ullman, Weizmann Institute of Science |
| 1035 | Patch Complexity, Finite Pixel Correlations and Optimal Denoising | Anat Levin*, Weizmann Institute; Boaz Nadler, Weizmann Inst; Fredo Durand, MIT; William Freeman, Massachusetts Institute of Technology |
| 1051 | Filter-based Mean-Field Inference for Random Fields with Higher Order Terms and Product Label-Spaces | Jonathan Warrell*, Oxford Brookes University; Phil Torr, ; Vibhav Vineet, Oxford Brookes University |
| 1071 | Good Regions to Deblur | Zhe Hu*, UC Merced; Ming-Hsuan Yang, University of California at Merced |
| 1079 | Indoor Segmentation and Support Inference from RGBD Images | Nathan Silberman*, NYU; Rob Fergus, ; Derek Hoiem, UIUC; Pushmeet Kohli, |
| 1110 | Reflectance and Natural Illumination from a Single Image | Stephen Lombardi*, Drexel University; Ko Nishino, Drexel University |
| 1171 | Diagnosing Error in Object Detectors | Derek Hoiem*, University of Illinois; Yodsawalai Chodpathumwan, University of Illinois; Qieyun Dai, University of Illinois |
| 1181 | A Naturalistic Open Source Movie for Optical Flow Evaluation | Daniel Butler*, University of Washington; Jonas Wulff, Max Planck Institute for Intelligent Systems; Garrett Stanley, Department of Biomedical Engineering, Georgia Institute of Technology; Michael Black, Max Planck Institute for Intelligent Systems |
| 1243 | Efficient Optimization For Low-Rank Integrated Bilinear Classifiers | Takumi Kobayashi*, National Institute of AIST; Nobuyuki Otsu, |
| 1258 | PlantID: A Computer Vision System for Automatic Plant Species Identification | Neeraj Kumar*, University of Washington; David Jacobs, ; Peter Belhumeur, Columbia University; Arijit Biswas, University of Maryland; Joao Soares, University of Maryland |
| 1330 | Semantic Segmentation with Second-Order Pooling | Joao Carreira*, University of Coimbra; Rui Caseiro, Institute Systems Robotics; Jorge Batista, Institute Systems Robotics – University Coimbra – Portugal; Cristian Sminchisescu, University of Bonn |
| 1383 | Photo-Sequencing | Tali Basha*, Tel Aviv University; Shai Avidan, ; Yael Moses, IDC |
| 1422 | Continuous Markov Random Fields for Robust Stereo Estimation | Koichiro Yamaguchi, TTI Chicago; Tamir Hazan, TTI Chicago; David McAllester, TTI Chicago; Raquel Urtasun*, TTIC |
| 1429 | Fourier Kernel Learning | Eduard-Gabriel Bazavan*, IMAR; Fuxin Li, Georgia Inst. of Tech.; Cristian Sminchisescu, University of Bonn |
| 1436 | Large Scale Visual Geo-Localization of Images in Mountainous Terrain | Georges Baatz*, ETHZ; Olivier Saurer, ETHZ; Kevin Koeser, ETHZ; Marc Pollefeys, |
| 1543 | Streaming Hierarchical Video Segmentation | Chenliang Xu, SUNY at Buffalo; Caiming Xiong, SUNY at Buffalo; Jason Corso*, SUNY at Buffalo |
| 1619 | Motion Capture of Hands in Action using Discriminative Salient Points | Luca Ballan*, ETH Zurich; Aparna Taneja, ETH Zurich; Juergen Gall, ETH Zurich; Luc Van Gool, ; Marc Pollefeys, |
| 1707 | Beyond the line of sight: labeling the underlying surfaces |
还看不出谁是oral，谁是poster，也没有查到oral录取率和总录取率。粗略数了数，录取率大概是410/1712=23.9%（总篇数用最后一篇的序号来估算）。无聊统计了一下，录取的前100篇对应的录取率是100/376=26.6%，前200篇对应的录取率是200/816=24.5%，前300篇对应的录取率是300/1176=25.5%。这也说明，投稿先后对录取没什么影响^_^
| Paper ID | Paper Title | Author Names | ||
|---|---|---|---|---|
| 1 | Semi-Intrinsic Mean shift on Riemannian Manifolds | Rui Caseiro*, Institute Systems Robotics; Jo„o F Henriques, ISR; PedroMartins, ISR; Jorge Batista, Institute Systems Robotics – University Coimbra- Portugal | ||
| 5 | Online Learning of Linear Predictors for Real-Time Tracking | Stefan Holzer*, Technische Universität München; Marc Pollefeys;Slobodan Ilic, TUM; David Joseph Tan, Technische Universität München; NassirNavab, Technische Universität München | ||
| 6 | Learning to Efficiently Detect Repeatable Interest Points in Depth Data | Stefan Holzer*, Technische Universität München; Jamie Shotton, MicrosoftResearch Cambridge; Pushmeet Kohli | ||
| 10 | Effective Use of Frequent Itemset Mining for Image Classification | Basura Fernando*, K.U. Leuven; Elisa Fromont, University Jean MonnetSaint Etienne France; Tinne Tuytelaars | ||
| 13 | M-Best Modes | Payman Yadollahpour, TTIC; Dhruv Batra*, Toyota Technological Instituteat Chicago (TTIC) ; Abner Guzman-Rivera, UIUC; Greg Shakhnarovich, TTIC | ||
| 17 | Attributes for classifier feedback | Amar Prakash, IIIT-D; Devi Parikh*, TTIC | ||
| 21 | Lie Bodies: A Manifold Representation of 3D Human Shape | Oren Freifeld*, Brown University; Michael Black, Max Planck Institute forIntelligent Systems | ||
| 25 | Modeling Complex Temporal Composition of Actionlets for ActivityPrediction | Kang Li; Jie Hu, State University of New York (SUNY) at Buffalo; YunFu*, SUNY at Buffalo | ||
| 35 | Object Co-detection | Yinzge Bao*, U of Michigan at Ann Arbor; Yu Xiang, University ofMichigan; Silvio Savarese, The University of Michigan, Ann Arbor | ||
| 41 | What Do You Do: Occupation Recognition in a Photo | Ming Shao*; Liangyue Li, SUNY at Buffalo; Yun Fu, SUNY at Buffalo | ||
| 46 | Shape and Material Under Natural Illumination | Geoffrey Oxholm*, Drexel University; Ko Nishino, Drexel University | ||
| 47 | Efficient Discriminative Projections for Compact Binary Descriptors | Tomasz Trzcinski*, EPFL; Vincent Lepetit | ||
| 57 | Efficient Nonlocal Regularization for Optical Flow | Philipp Krähenb¸hl*, Stanford University; Vladlen Koltun, StanfordUniversity | ||
| 64 | Morphable Displacement Field based Image Matching for Face RecognitionAcross Pose | shaoxin Li*, ICT, CAS; xin Liu, Institute of Computing Chinese Academy ofScience; Xiujuan Chai, ICT,CAS; Haihong Zhang, Omron; Shihong Lao, Omron;Shiguang Shan, ICT, CAS | ||
| 70 | Frequency Analysis of Transient Light Transport with Applications in BareSensor Imaging | Di Wu, MIT Media Lab; GordonWetzstein*, MIT Media Lab; Christopher Barsi, MIT Media Lab; ThomasWillwacher, Harvard University; Matthew O’Toole, University of Toronto;Nikhil Naik, MIT Media Lab; Qionghai Dai, Tsinghua University; KyrosKutulakos; Ramesh Raskar, MIT Media Lab | ||
| 82 | Descriptor Learning Revisited | Karen Simonyan*, University of Oxford; Andrea Vedaldi, Oxford U; AndrewZisserman | ||
| 85 | Reconstructing the World’s Museums | Jianxiong Xiao*, MIT; Yasutaka Furukawa, Google | ||
| 86 | Online Learned Discriminative Part-Based Appearance Models forMulti-Human Tracking | Bo Yang*, USC; Ram Nevatia | ||
| 87 | A New Combinatorial Algorithm with Applications in Multi-Model Estimation | Andrew Delong*, University of Western Ontario; Olga Veksler, Universityof Western Ontario; Yuri Boykov, University of Western Ontario | ||
| 88 | Segmentation with non-linear regional constraints via line-search cuts | Lena Gorelick*, UWO; Frank Schmidt, ESIEE; Yuri Boykov, University ofWestern Ontario; Andrew Delong, University of Western Ontario; Aaron Ward,UWO | ||
| 97 | Hausdorff Distance Constraint for Multi-Surface Segmentation | Frank Schmidt*, ESIEE; Yuri Boykov, University of Western Ontario | ||
| 98 | Background Subtraction using Group Sparsity and Low Rank constraint | Xinyi Cui*, Rutgers University; Junzhou Huang; shaoting Zhang, RutgersUniversity; Dimitris Metaxas, Rutgers University | ||
| 99 | Exposure Stacks of Live Scenes with Hand-held Cameras | Jun Hu, Duke University; Orazio Gallo*, NVIDIA, Corp.; Kari Pulli, NVIDIAResearch | ||
| 100 | Frequency-Space Decomposition and Acquisition of Light Transport underSpatially Varying Illumination | Dikpal Reddy*, UC Berkeley; Ravi Ramamoorthi; Brian Curless | ||
| 107 | Worldwide Pose Estimation Using 3D Point Cloud Models | Yunpeng Li*, EPFL; Noah Snavely, Cornell University; Daniel Huttenlocher,; Pascal Fua, EPFL | ||
| 108 | Combining Per-Frame and Per-Track Cues for Multi-Person ActionRecognition | Sameh Khamis*, University of Maryland; Vlad Morariu, University ofMaryland; Larry Davis, University of Maryland | ||
| 111 | A graph cut algorithm based on approximating the signed bi-form graph | Alex Fix, Cornell; Joyce Chen, Cornell; Endre Boros, Rutgers; RaminZabih* | ||
| 113 | Recursive Bilateral Filtering | Qingxiong Yang*, City University of Hong Kong | ||
| 115 | Accelerated Large-Scale Optimization by Concomitant Hashing | Yadong Mu*, Columbia University; John Wright, Columbia University;Shih-Fu Chang, Columbia | ||
| 118 | Graph Degree Linkage: Agglomerative Clustering on a Directed Graph | Wei Zhang*, CUHK; Xiaogang Wang, The Chinese University of HK; Deli Zhao,CUHK; Xiaoou Tang | ||
| 120 | Joint Image and Word Sense Discrimination For Image Retrieval | Aurelien Lucchi*, EPFL; Jason Weston, google | ||
| 122 | Supervised Earth Mover’s Distance Learning and Its Computer VisionApplications | Fan Wang*, Stanford University; Leonidas Guibas, Stanford University | ||
| 127 | Metric Learning for Large Scale Image Classification: Generalizing to NewClasses at Near-Zero Cost | Thomas Mensink*, INRIA Rhone Alpes; Jakob Verbeek; Gabriela Csurka,XRCE; Florent Perronnin, XRCE | ||
| 128 | Knowledge-Oriented Sketch Segmentation | Zhenbang Sun*, Shanghai Jiao Tong University; Changhu Wang, MicrosoftResearch Asia; Liqing Zhang, Shanghai Jiao Tong University; Lei Zhang, MSRA | ||
| 135 | Global Optimization of Object Pose and Motion from a Single RollingShutter Image with Automatic 2D-3D Matching | Ludovic MAGERAND*, Clermont-UniversitÈ | ||
| 136 | Script Data for Attribute-based Recognition of Composite Activities | Marcus Rohrbach*, MPI Informatics; Michaela Regneri, Saarland University;Mykhaylo Andriluka, MPI Informatik; Sikandar Amin, Max-Planck, TU Munich;Manfred Pinkal; Bernt Schiele | ||
| 141 | Auto-grouped Sparse Representation for Visual Analysis | Jiashi Feng*, NUS; Xiaotong Yuan; zilei Wang; Huan Xu; ShuichengYan | ||
| 145 | Dual-force Metric Learning for Robust Distractor Resistant Tracker | Zhibin Hong*, University of Technology, Sydn | ||
| 149 | Undoing the Damage of Dataset Bias | Aditya Khosla*, MIT; Tinghui Zhou, CMU; Tomasz Malisiewicz, MIT; AlyoshaEfros, CMU; Antonio Torralba, MIT | ||
| 150 | Segmentation Propagation in ImageNet | Daniel Kuettel*, ETH Zurich; Matthieu Guillaumin, ETH Z¸rich; VittorioFerrari | ||
| 151 | Improved Reconstruction of Deforming Surfaces by Cancelling AmbientOcclusion | Thabo Beeler, ETH; Derek Bradley*, Disney Research Zurich; HenningZimmer, ETH Zurich; Markus Gross, ETH Zurich | ||
| 152 | A Unified Framework for Multi-Target Tracking and Collective ActivityRecognition | Wongun Choi*, The University of Michigan; Silvio Savarese, The Universityof Michigan, Ann Arbor | ||
| 157 | Dog Breed Classi?cation Using Part Localization | Jiongxin Liu*, Columbia University; Angjoo Kanazawa; David Jacobs;Peter Belhumeur, Columbia University | ||
| 158 | On the statistical determination of optimal camera configurations inmulti-camera surveillance networks | Junbin Liu*, QUT; Tim Wark, CSIRO; Sridha Sridharan, QueenslandUniversity of Technology | ||
| 165 | A Dictionary Learning Approach for Classification: Separating theParticularity and the Commonality | Donghui Wang*, Zhejiang University; Shu Kong, Zhejiang University | ||
| 175 | Exact Acceleration of Linear Object Detectors | Charles Dubout*, Idiap; François Fleuret, Idiap | ||
| 180 | Bottom-Up Perceptual Organization of Images into Object Part Hypotheses | Maruthi Narayanan*, Brown University; Benjamin Kimia, Brown University | ||
| 181 | Learning Human Interaction by Interactive Phrases | Yu Kong*, Beijing Institute of Technology; Yunde Jia, Beijing Inst. ofTech.; Yun Fu, SUNY at Buffalo | ||
| 182 | Structured Image Segmentation using Kernelized Features | Aurelien Lucchi*, EPFL; Yunpeng Li, EPFL; Kevin Smith, EHTZ; Pascal Fua,EPFL | ||
| 185 | The Scale of Geometric Texture | Geoffrey Oxholm*, Drexel University; Ko Nishino, Drexel University | ||
| 187 | Salient Object Detection: A Benchmark | Ali Borji*, University of Southern Califor; Dicky Sihite, University ofSouthern California; Laurent Itti, University of Southern California | ||
| 195 | Multi-Task Order Preserving Sparse Coding For Time SequenceClassification | Bingbing Ni*, ADSC; Shuicheng Yan; Pierre Moulin, UIUC | ||
| 214 | Shape Sharing for Object Segmentation | Jaechul Kim*, University of Texas at Austin; Kristen Grauman | ||
| 217 | Efficient Articulated Trajectory Reconstruction using Dynamic Programmingand Filters | Jack Valmadre*, CSIRO; Yingying Zhu, Csiro; Sridha Sridharan, QueenslandUniversity of Technology; Simon Lucey, CSIRO | ||
| 219 | Nonuniform Lattice Regression for Modeling the Camera Imaging Pipeline | Hai Ting Lin*, NUS; Zheng Lu, University of Texas At Austin; Seon JooKim, SUNY Korea; Michael S. Brown | ||
| 229 | Background Inpainting for Videos with Dynamic Objects and a Free-movingCamera | Miguel Granados*, MPI Informatik; Kwang In Kim, MPI for Informatics;James Tompkin, UCL; Jan Kautz, UCL; Christian Theobalt, MPI Informatik | ||
| 230 | Match Graph Construction for Large Image Databases | Kwang In Kim*, MPI for Informatics; James Tompkin, University CollegeLondon; Martin Theobald; Jan Kautz, UCL; Christian Theobalt, MPI forInformatics | ||
| 231 | From Meaningful Contours to Discriminative Object Shape | Pradeep krishna Yarlagadda*, University of Heidelberg; Bjorn Ommer | ||
| 236 | Activity Forecasting | Kris Kitani*, Carnegie Mellon University; James Bagnell; MartialHebert | ||
| 239 | Context-Based Automatic Local Image Enhancement | Sung Ju Hwang*, University of Texas, Austin; Ashish Kapoor, MicrosoftResearch; Sing Bing Kang, Microsoft Research | ||
| 243 | Statistics of Patch Offsets for Image Completion | Kaiming He*, Microsoft Research Asia; Jian Sun, Microsoft Research Asia | ||
| 245 | Min-Space Integral Histogram | SÈverine Dubuisson*, LIP6 – UPMC; Christophe Gonzales, LIP6 – UPMC | ||
| 247 | Automatic Segmentation of Unknown Objects, with Application to BaggageSecurity | Leo Grady*, Siemens Corporate Research; Vivek Singh; Timo Kohlberger;Christopher Alvino; Claus Bahlmann | ||
| 254 | Optimal Templates for Non-Rigid Surface Reconstruction | Markus Moll*, K.U.Leuven; Luc Van Gool | ||
| 270 | Heliometric Stereo: Shape from Sun Position | Austin Abrams*, Washington University; Christopher Hawley; RobertPless, Washington University | ||
| 273 | Multi-channel Shape-Flow Kernel Descriptors for Robust Video EventDetection and Retrieval | Pradeep Natarajan*, Raytheon BBNTechnologies; Shuang Wu, Raytheon BBN Technologies; Unsang Park, Raytheon BBNTechnologies; Shiv Vitaladevuni, Raytheon BBN Technologies; Rohit Prasad,Raytheon BBN Technologies, Inc; Premkumar Natarajan, Raytheon BBN Technologies,Inc | ||
| 275 | A Particle Filter Framework for Contour Detection | Nicolas Widynski*, University of Montreal; Max Mignotte, University ofMontreal | ||
| 276 | Action Recognition with Exemplar Based 2.5D Graph Matching | Bangpeng Yao*, Stanford University; Li Fei-fei | ||
| 277 | TriCoS: A Tri-level Class-Discriminative Co-Segmentation Method for ImageClassification | Yuning Chai*, ETH Zurich; Esa Rahtu; Andrew Zisserman; VictorLempitsky; Luc Van Gool | ||
| 281 | On Learning Higher-Order Consistency Potentials for Multi-class PixelLabeling | Kyoungup Park*, ANU; Stephen Gould, ANU | ||
| 286 | Spectral Demons – Image Registration via Global Spectral Correspondence | ée Lombaert*, Polytechnique; Leo Grady, Siemens Corporate Research;Xavier Pennec, INRIA Sophia-Antipolis; Nicholas Ayache, INRIASophia-Antipolis; Farida Cheriet, Polytechnique | ||
| 287 | Multi-view Discriminant Analysis | Meina Kan*, ICT, GUCAS, China; Shiguang Shan, ICT, CAS; Haihong Zhang,Omron; Shihong Lao, Omron Company; xilin Chen | ||
| 290 | Multi-scale Patch based Collaborative Representation for Face Recognitionwith Margin Distribution Optimization | Pengfei Zhu, The Hong Kong PolyU; Lei Zhang*, The Hong Kong PolytechnicUniv; Qinghua Hu, Tianjin University; Simon Shiu, The Hong Kong PolyU | ||
| 292 | Learning to Recognize Daily Actions using Gaze | Alireza Fathi*, Georgia Institute of Technolog; James Rehg, GeorgiaInstitute of Technology | ||
| 296 | Multi-Scale Clustering of Frame-to-Frame Correspondences for MotionSegmentation | Ralf Dragon*, Leibniz Universität Hannover; Bodo Rosenhahn; JoernOstermann | ||
| 298 | Learning Domain Knowledge for Facade Labelling | Dengxin Dai*, ETH Zurich; Mukta Prasad, ETH Zurich; Gerhard Schmitt,ETHZ; Luc Van Gool | ||
| 301 | Object detection using strongly-supervised deformable part models | Hossein Azizpour, KTH; Ivan Laptev* | ||
| 313 | Simultaneous Shape and Pose Adaption of Articulated Models using LinearOptimization | Matthias Straka*, Graz University Of Technology; Stefan Hauswiesner, GrazUniversity of Technology; Matthias R¸ther, Graz University of Technology;Horst Bischof | ||
| 314 | Efficient Misalignment-Robust Representation for Real-Time FaceRecognition | Meng Yang, The Hong Kong Polytechnic Univ; Lei Zhang*, The Hong Kong Polytechnic Univ; David Zhang, The Hong Kong Polytechnic Univ | ||
| 319 | Monocular Object Detection using 3D Geometric Primitives | Peter Carr*, Disney Research; Yaser Sheikh, CMU; Iain Matthews, DisneyResearch | ||
| 321 | Object-centric spatial pooling for image classification | Olga Russakovsky*, Stanford University; Yuanqing Lin, NEC Laboratories America; Kai Yu, NEC Laboratories America; Li Fei-fei | ||
| 323 | Efficient Spanning Structure Mining in Large Image Collections | Yin Lou*, Cornell University; Noah Snavely, Cornell University; JohannesGehrke | ||
| 325 | Sparse Coding and Dictionary Learning for Symmetric Positive DefiniteMatrices: A Kernel Approach | Mehrtash Harandi*, National ICT Australia (NICTA); Conrad Sanderson,National ICT Australia (NICTA); Richard Hartley, National ICT Australia(NICTA); Brian Lovell, National ICT Australia (NICTA) | ||
| 328 | V1-Inspired Features Induce a Weighted Margin in SVMs | Hilton Bristow*, CSIRO; Simon Lucey, CSIRO | ||
| 329 | Propagative Hough Voting for Human Activity Recognition | Gang YU*, NTU; Junsong Yuan, NTU; Zicheng Liu, MSR | ||
| 331 | People Watching: Human Actions as a Cue for Single View Geometry | David Fouhey*, Carnegie Mellon University; Vincent Delaitre; AlyoshaEfros, CMU; Abhinav Gupta; Ivan Laptev; Josef Sivic, INRIA / EcoleNormale Superieure | ||
| 335 | Renormalization Returns: Hyper-renormalization and Its Applications | Kenichi Kanatani*, Okayama University; Ali Al-Sharadqah, University ofMississippi; Nikolai Chernov, University of Alabama at Birmingham; YasuyukiSugaya, Toyohashi University of Technology | ||
| 344 | Real-time Compressive Tracking | Kaihua Zhang, The HK PolyU; Lei Zhang*, The Hong Kong Polytechnic Univ;Ming-Hsuan Yang, University of California at Merced | ||
| 351 | Shape from Single Scattering for Translucent Objects | Chika Inoshita*, Osaka University; Yasuhiro Mukaigawa, Osaka University;Yasu Matsushita; Yasushi Yagi, Osaka University | ||
| 352 | Joint Face Alignment: Rescue Bad Alignments with Good Ones by RegularizedRe-fitting | Xiaowei Zhao*, ICT,CAS,China; Xiujuan Chai, ICT,CAS; Shiguang Shan, ICT,CAS | ||
| 354 | Depth Extraction from Video Using Non-parametric Sampling | Kevin Karsch*, UIUC; Ce Liu, Microsoft Research New England; Sing BingKang, Microsoft Research | ||
| 356 | Scale Invariant Optical Flow | Li Xu*, CUHK; Zhenlong Dai, CUHK; jiaya Jia, CUHK | ||
| 359 | Learning Class-to-Image Distance via Large Margin and L1-normRegularization | Zhengxiang Wang*, NanyangTechnologicalUniversity; Shenghua Gao;Liang-Tien Chia | ||
| 361 | Taxonomic Multi-class Prediction and Person Layout using EfficientStructured Ranking | Arpit Mittal*, University of Oxford; Matthew Blaschko, …cole CentraleParis; Andrew Zisserman; Phil Torr | ||
| 362 | Unsupervised Discovery of Mid-Level Discriminative Patches | Saurabh Singh*, Carnegie Mellon University; Abhinav Gupta; AlyoshaEfros, CMU | ||
| 363 | Self-Similar Sketch | Andrea Vedaldi*, Oxford U; Andrew Zisserman | ||
| 367 | Blind Correction of Optical Aberrations | Christian Schuler*, MPI for Intelligent Systems; Michael Hirsch, MPI forIntelligent Systems; Stefan Harmeling, MPI for Intelligent Systems; BernhardSchˆlkopf, MPI for Intelligent Systems | ||
| 370 | Depth Matters: Influence of Depth Cues on Visual Saliency | Lang Congyan, Beijijng Jiaotong University; Tam Nguyen*, NUS, Singapore;harish Katti, National University of Singapore; Karthik Yadati, NationalUniversity of Singapore; Shuicheng Yan; Mohan Kankanhalli, NationalUniversity of Singapore | ||
| 375 | Gait Recognition by Ranking | Ra˙l MartÌn FÈlez*, Universitat Jaume I; Tao Xiang, Queen Mary University of London | ||
| 376 | Robust Point Matching Revisited: A Concave Optimization Approach | Wei Lian, Changzhi Univ; Lei Zhang*, The Hong Kong Polytechnic Univ | ||
| 380 | Quaternion-based Spectral Saliency Detection for Human Eye Fixation PointPrediction | Boris Schauerte*, Karlsruhe Inst. Tech.; Rainer Stiefelhagen, KarlsruheInst. of Technology | ||
| 383 | Learning Discriminative Spatial Relations for Detector Dictionaries: an Application to Pedestrian Detection | Enver Sangineto*, Istituto Italiano di Tecnologi; Marco Cristani;Alessio Del Bue; Vittorio Murino | ||
| 385 | Learning Deformations with Parallel Transport | Donglai Wei*, Mit; Dahua Lin, MIT; John Fisher III, MIT | ||
| 387 | Dynamic Facial Expression Recognition using Longitudinal FacialExpression Atlases | Yimo Guo*, Oulu University; Guoying Zhao, Oulu University; MattiPietikäinen, Oulu University | ||
| 391 | Polynomial Regression on Riemannian Manifolds | Jacob Hinkle*, University of Utah; Prasanna Muralidharan, University ofUtah; P Thomas Fletcher, University of Utah; Sarang Joshi, University of Utah | ||
| 398 | Crosstalk Cascades for Frame-Rate Pedestrian Detection | Piotr Dollar*, Microsoft Research; Ron Appel, Caltech; Wolf Kienzle,Microsoft Research | ||
| 400 | Query Specific Fusion for Image Retrieval | shaoting Zhang, Rutgers University; Ming Yang*, NEC laboratories America;Timothee Cour, NEC Laboratories America; Kai Yu, NEC Laboratories Amertica;Dimitris Metaxas, Rutgers University | ||
| 401 | Approximate Gaussian Mixtures for Large Scale Vocabularies | Yannis Avrithis*, NTUA; Yannis Kalantidis, NTUA | ||
| 403 | Tracking Using Motion Patterns for Very Crowded Scenes | Xuemei Zhao*, Univ. of Southern California; Dian Gong, Univ. of SouthernCalifornia; Gerard Medioni, University of Southern California | ||
| 405 | Constrained Bootstrapping for Image Classi?cation via Attributes andComparative Attributes | Abhinav Shrivastava*, Carnegie Mellon University; Saurabh Singh, CarnegieMellon University; Abhinav Gupta | ||
| 415 | Long-Range Spatio-Temporal Modeling with Application to Fire Detection | Avinash Ravichandran*, UCLA; Stefano Soatto, UCLA | ||
| 419 | Geodesic Saliency Using Background Priors | Yichen Wei*, Microsoft Research; Fang Wen; Wangjiang Zhu, TsinghuaUniversity; Jian Sun, Microsoft Research Asia | ||
| 420 | Human Actions as Stochastic Kronecker Graphs | Sinisa Todorovic*, Oregon State University | ||
| 422 | GMCP-Tracker: Global Multi-object Tracking Using Generalized MinimumClique Graphs | Amir Roshan Zamir*, UCF; Afshin Dehghan, University of Central Florida | ||
| 429 | Robust Fitting for Multiple View Geometry | Olof Enqvist*, Lund University; Erik Ask, Lund University; Fredrik Kahl,Lund University; Kalle ≈strˆm, Lund University | ||
| 431 | Improving Image-Based Localization by Active Correspondence Search | Torsten Sattler*, RWTH Aachen University; Bastian Leibe, RWTH AachenUniversity; Leif Kobbelt, RWTH Aachen University | ||
| 432 | Nested Sparse Quantization for Efficient Feature Coding | Gemma Roig Noguera, ETH; Xavier Boix*, ETH; Christian Leistner; Luc VanGool | ||
| 433 | Inverse Rendering of Faces on a Cloudy Day | Oswald Aldrian*, University of York; William A. P. Smith, University ofYork | ||
| 438 | On Tensor-Based PDEs and their Corresponding Variational Formulationswith Application to Color Image Denoising | Freddie Åström*, Linköping University; George Baravdish, Linköping University; Michael Felsberg, Linköping University | ||
| 439 | Size Matters: Exhaustive Geometric Verification for Image Retrieval | Henrik Stewenius*, Google; Steinar Gunderson, Google; Julien Pilet,Google | ||
| 440 | "Clustering by Composition" for Unsupervised Discovery of ImageCategories | Alon Faktor*, Weizmann Institute of Science; Michal Irani | ||
| 446 | Joint Face Alignment with Non-Parametric Shape Models | Brandon Smith*, Univ. of Wisconsin – Madison; Li Zhang, Univ. ofWisconsin – Madison | ||
| 451 | Kernelized Temporal Cut for Online Hierarchical Human Action Segmentationand Recognition | Dian Gong*, Univ. of Southern California; Gerard Medioni, University ofSouthern California; Sikai Zhu, University of Southern California; XuemeiZhao, Univ. of Southern California | ||
| 456 | Scene Aligned Pooling for Complex Video Recognition | Liangliang Cao*, IBM Research; Yadong Mu, Columbia University;Apostol Natsev, Google; Shih-FuChang, Columbia; Gang Hua, Stevens Institute of Technolog; John Smith, IBM | ||
| 460 | Comparative Evaluation of Binary Features | Jared Heinly*, UNC Chapel Hill; Enrique Dunn, UNC; Jan-Michael Frahm,UNC-CH | ||
| 462 | Group Tracking: Exploring Mutual Relations for Multiple Object Tracking | Genquan Duan*, Tsinghua University; Song Cao, Tsinghua University;Haizhou Ai, Tsinghua University; Shihong Lao, Omron Company | ||
| 464 | Discovering Latent Domains for Multisource Domain Adaptation | Judy Hoffman*, UC Berkeley; Kate Saenko, UC Berkeley, Harvard, ICSI;Brian Kulis, Ohio State; Trevor Darrell, UC Berkeley, ICSI | ||
| 476 | Grain Segmentation of 3D Superalloy Images Using MultiChannel EWCVT underHuman Annotation Constraints | Yu Cao*, University of South Carolina; Lili Ju, University of SouthCarolina; Song Wang, University of South Carolina | ||
| 493 | A Discrete Chain Graph Model for 3d+t Cell Tracking with HighMisdetection Robustness | Bernhard Kausler*, University ofHeidelberg; Martin Schiegg, University of Heidelberg; Bjoern Andres, HarvardUniversity; Martin Lindner, University of Heidelberg; Heike Leitte,University of Heidelberg; Lars Hufnagel, European Molecular Biology Laboratory;Ullrich Koethe, University of Heidelberg, Germany; Fred Hamprecht, Universityof Heidelberg, Germany | ||
| 498 | Image Enhancement using Calibrated Lens Simulations | YiChang Shih*, M.I.T.; Neel Joshi, Microsoft Research; Brian Guenter,Microsoft Research | ||
| 502 | Hough Regions for Joining Instance Localization and Segmentation | Hayko Riemenschneider*, Graz University of Technology; Sabine Sternig,Graz University of Technology; Michael Donoser, Graz University ofTechnology; Peter Roth, Graz University of Technology; Horst Bischof | ||
| 507 | Exploiting Color in Shape, Albedo, and Illumination from Shading | Jonathan Barron*, UC Berkeley; Jitendra Malik, UC Berkeley | ||
| 508 | Discriminative Bayesian Active Shape Models | Pedro Martins*, ISR; Jo„o F Henriques, ISR; Rui Caseiro, InstituteSystems Robotics; Jorge Batista, Institute Systems Robotics – UniversityCoimbra – Portugal | ||
| 513 | Patch Based Synthesis for Single Depth Image Super-Resolution | Oisin Mac Aodha*, UCL; Neill Campbell; Arun Nair; GabrielBrostow | ||
| 516 | Facial Action Transfer with Personalized Bilinear Regression | Dong Huang*, Carnegie Mellon University; Fernando De la Torre, CarnegieMellon University | ||
| 520 | A Fast Illumination and Deformation Insensitive Image ComparisonAlgorithm Using Wavelet-Based Geodesics | Anne Jorstad*, University of Maryland, CP; David Jacobs | ||
| 526 | Point of Gaze Estimation through Corneal Surface Reflection in an ActiveIllumination Environment | Atsushi Nakazawa*, Osaka University, Cybermedia Center; ChristianNitschke, Osaka University, Cybermedia C | ||
| 527 | Manifold Statistics for Essential Matrices | Gijs Dubbelman*, CMU | ||
| 534 | Robust Tracking with Weighted Online Structured Learning | Rui Yao*, NWPU; Qinfeng Shi, University of Adelaide; Chunhua Shen,University of Adelaide; Yanning Zhang, Northwestern Polytechnical Univ.;Anton van den hengel, University of Adelaide | ||
| 535 | Annotation Propagation in Large Image Databases via Dense ImageCorrespondence | Michael Rubinstein*, MIT; Ce Liu, Microsoft Research New England; WilliamFreeman, Massachusetts Institute of Technology | ||
| 560 | Covariance Propagation and Next Best View Planning for 3D Reconstruction | Sebastian Haner*, Lund University; Anders Heyden, Lund University | ||
| 574 | Dilated Divergence based Scale-Space Representation for Curve Analysis | Max W.K. Law*, GE Healthcare; Andrew Leung, Western University; Keng-YeowTay, Western University; Shuo Li, GE Healthcare | ||
| 576 | Parameterless Line Segment and Elliptical Arc Detector with ControlledNumber of False Positives | Viorica Patraucean*, University of Toulouse; Pierre Gurdjos; RafaelGrompone von Gioi; GÈraldine Morin, University of Toulouse | ||
| 579 | Learning to segment a video to clips based on scene and camera motion | Adarsh Kowdle*, Cornell University; Tsuhan Chen, Cornell University | ||
| 582 | Numerically Stable Optimization of Polynomial Solvers for MinimalProblems | Yubin Kuang*, Lund University; Kalle ≈strˆm, Lund University | ||
| 593 | Has my algorithm succeeded? Evaluating human pose estimators | Nataraj Jammalamadaka*, IIIT, Hyderabad; Andrew Zisserman; MarcinEichner, ETH zurich; Vittorio Ferrari; Jawahar C. V. , IIIT, Hyderabad | ||
| 598 | Full Body Performance Capture under Uncontrolled and VaryingIllumination: A Shading-based Approach | Chenglei Wu*, Max Planck Institut Informatik; Kiran Varanasi, MPIInformatik; Christian Theobalt, MPI for Informatics | ||
| 601 | Visual Recognition using Local Quantized Patterns | Sibt ul Hussain*, UniversitÈ de Caen; Bill Triggs, Laboratoire JeanKuntzmann | ||
| 602 | Detecting and Reconstructing 3D Mirror Symmetric Objects | Rick Szeliski*; Krishnan Ramnath, Microsoft Research; Sudipta Sinha,Microsoft Research; Sudipta Sinha | ||
| 607 | 3D Reconstruction of Dynamic Scenes with Multiple Handheld Cameras | Hanqing Jiang, Zhejiang University; Haomin Liu, Zhejiang University; PingTan, National University of Singapore; Guofeng Zhang*, Zhejiang University;Hujun Bao, Zhejiang University | ||
| 616 | Globally Optimal Closed-surface Segmentation for Connectomics | Bjoern Andres*, Harvard University;Thorben Kroeger, HCI, University of Heidelberg; Kevin Briggman, NIH; WinfriedDenk, Max-Planck-Institute for Medical Research; Natalya Korogod, EPFL;Graham Knott, EPFL; Ullrich Koethe, University of Heidelberg, Germany; FredHamprecht, University of Heidelberg, Germany | ||
| 619 | Performance Capture of Interacting Characters with Handheld Kinects | Genzhi Ye*, Tsinghua University; Yebin Liu, Tsinghua University; NilsHasler, Max-Planck-Institute for Informatics; Xiangyang Ji, TsinghuaUniversity; Qionghai Dai, Tsinghua University; Christian Theobalt, MPI forInformatics | ||
| 620 | Reduced Analytical Dependency Modeling for Classifier Fusion | Andy Jinhua Ma, Hong Kong Baptist University; Pong Yuen*, Hong KongBaptist University | ||
| 626 | Randomized Spatial Partition for Scene Recognition | Yuning Jiang*, NTU; Junsong Yuan, NTU; Gang YU, NTU | ||
| 633 | Evaluation of Image Segmentation Quality by Adaptive Ground TruthComposition | Bo Peng, The Hong Kong Polytechnic University; Lei Zhang*, The Hong KongPolytechnic Univ | ||
| 634 | Ensemble Partitioning for Unsupervised Image Categorization | Dengxin Dai*, ETH Zurich; Mukta Prasad, ETH Zurich; Christian Leistner;Luc Van Gool; Gerhard Schmitt, ETHZ | ||
| 642 | Set Based Discriminative Ranking for Recognition | Yang Wu*, Kyoto University; Michihiko Minoh, Kyoto University; MasayukiMukunoki, Kyoto University; Shihong Lao, Omron Company | ||
| 643 | A Global Hypotheses Verification Method for 3D Object Recognition | Aitor Aldoma*, TU Wien; Federico Tombari, University of Bologna; Luigi DiStefano; Markus Vincze, TU Wien | ||
| 653 | Learning to Match Appearances by Correlations in a Covariance MetricSpace | Slawomir Bak*, INRIA; Guillaume Charpiat, INRIA; Etienne Corvee, INRIA;Francois Bremond, INRIA; Monique Thonnat, INRIA | ||
| 654 | Scale Robust Multi View Stereo | Christian Bailer; Manuel Finckh*, Tuebingen University; Hendrik Lensch,Tuebingen University | ||
| 655 | Fast Regularization of Matrix-Valued Images | Guy Rosman*, Technion; Yu Wang; Xue-Cheng Tai, University of Bergen;Ron Kimmel, Technion; Alfred Bruckstein, Technion | ||
| 656 | Tracking feature points in uncalibrated images with radial distortion | Miguel LourenÁo*,ISR-Coimbra; Jo„o Pedro Barreto, ISR | ||
| 660 | Laplacian Meshes for Monocular 3D Shape Recovery | Jonas ÷stlund*, CVLab, EPFL, Lausanne; Aydin Varol, EPFL; Pascal Fua,EPFL | ||
| 673 | On the Convergence of Graph Matching: Graduated Assignment Revisited | Yu Tian; Junchi Yan*, Shanghai Jiao Tong University; Hequan Zhang,Beijing Institute of Technology | ||
| 675 | Divergence-free motion estimation | Dominque BÈrÈziat*, UPMC; Isabelle Herlin, INRIA; Nicolas Mercier, INRIA;Sergiy Zhuk, CWI | ||
| 677 | Negative evidences and co-occurences in image retrieval: the benefit ofPCA and whitening | éÈ JÈgou*, INRIA; Ondrej Chum, CVUT | ||
| 681 | Large-Scale Gaussian Process Classification with Flexible AdaptiveHistogram Kernels | Erik Rodner*, University of Jena; Alexander L¸tz; Paul Bodesheim,University of Jena, Germany; Joachim Denzler | ||
| 683 | Visual Tracking via Adaptive Tracker Selection with Multiple Features | Ju Hong Yoon*, GIST; Du Yong Kim, Gwangju Institute of Science andTechnology; Kuk-Jin Yoon, GIST | ||
| 684 | Are You Really Smiling at Me? Spontaneous versus Posed Enjoyment Smiles | Hamdi Dibeklioglu*, University of Amsterdam; Theo Gevers, UvA; AlbertSalah, Bogazici University | ||
| 689 | Background Subtraction with Dirichlet Processes | Tom Haines*, Queen Mary, Uni. of London; Tao Xiang, Queen Mary University of London | ||
| 691 | Soft inextensibility constraints for template-free non-rigidreconstruction | Sara Vicente*, Queen Mary University of Londo; Lourdes Agapito, QueenMary University of Londo | ||
| 692 | Image Annotation Using Metric Learning in Semantic Neighbourhoods | Yashaswi Verma*, IIIT, Hyderabad; Jawahar C. V. , IIIT, Hyderabad | ||
| 694 | Movies and Sports: Large-Scale Dynamic Human Eye Movement Datasets and ConsistencyStudies for Visual Action Recognition | Stefan Mathe*, Romanian Academy of Science; Cristian Sminchisescu,University of Bonn | ||
| 695 | Efficient Monte Carlo sampler for detecting parametric objects in largescenes | Yannick VerdiÈ, INRIA; Florent Lafarge*, INRIA | ||
| 698 | Exploiting the Circulant Structure of Tracking-by-detection | Jo„o F Henriques*, ISR; Rui Caseiro, Institute Systems Robotics; PedroMartins, ISR; Jorge Batista, Institute Systems Robotics – University Coimbra- Portugal | ||
| 702 | Weighted $\alpha$-Shapes for Local Feature Detection | Christos Varytimidis*, NTUA; Konstantinos Rapantzikos, NTUA; YannisAvrithis, NTUA | ||
| 708 | Detecting and Localizing Activities at Different Scales under Budget | Mohamed Amer*, Oregon State University; Dan Xie, UCLA; Mingtian Zhao ,UCLA; Yaofei Feng, OREGON STATE UNIVERSITY; Behrooz Mahasseni, OREGON STATEUNIVERSITY; Sinisa Todorovic, Oregon State University; Song-Chun Zhu, UCLA | ||
| 711 | Dynamic programming for Expansion Algorithm | Olga Veksler*, University of Western Ontario | ||
| 713 | Sparselet Models for Efficient Multiclass Object Detection | Hyun Oh Song*, UC Berkeley; Stefan Zickler, IRobot Corp.; Tim Althoff, UCBerkeley; Ross Girshick, University of Chicago; Christopher Geyer, IRobotCorporation; Mario Fritz, MPI Informatik; Pedro Felzenszwalb, BrownUniversity; Trevor Darrell, UC Berkeley, ICSI | ||
| 721 | Mobile Product Image Search by Automatic Query Object Extraction | Xiaohui Shen*, Northwestern University; Zhe Lin, Adobe; Jonathan Brandt,Adobe Systems; Ying Wu, Northwestern University | ||
| 723 | Fast Tiered Labeling with Topological Priors | Ying Zheng, Duke University, Computer Science; Steve Gu*, DukeUniversity, Computer Scie; Carlo Tomasi | ||
| 724 | Nested Pictorial Structures | Steve Gu*, Duke University, Computer Scie; Ying Zheng, Duke University,Computer Science; Carlo Tomasi | ||
| 727 | Describing Clothing by Semantic Attributes | Huizhong Chen*, Stanford University; andrew Gallagher, Eastman Kodak;Bernd Girod, Stanford University | ||
| 739 | Analyzing the Subspace Structure of Related Images: ConcurrentSegmentation of Image Sets | Lopamudra Mukherjee*, University of Wisc Whitewater; Vikas Singh,University of Wisconsin Madison | ||
| 752 | Graph Matching via Sequential Monte Carlo | Yumin Suh, Seoul National University; Minsu Cho, Seoul NationalUniversity; Kyoung Mu Lee*, Seoul National University | ||
| 756 | Artistic image classification: an analysis on the ART database | Gustavo Carneiro*, The University of Adelaide; Nuno Pinho da Silva,ISR@IST-UTL; Alessio Del Bue; Joao Costeira, Instituto Superior Tecnico | ||
| 759 | Supervised Geodesic Propagation for Semantic Label Transfer | Xiaowu Chen, Beihang University; Qing Li*, Beihang University; YafeiSong, Beihang University; Xin Jin, Beihang; Qinping Zhao, Beihang University | ||
| 760 | Bayesian Face Revisited: A Joint Formulation | Dong Chen*, University of Science and Technology of China; Xudong Cao,MSRA; Liwei Wang, The Chinese University of Hong Kong; Fang Wen; Jian Sun,Microsoft Research Asia | ||
| 763 | Coherent Filtering: Detecting Coherent Motions from Clutters | Bolei Zhou*, The Chinese University of HK; Xiaogang Wang, The ChineseUniversity of HK; Xiaoou Tang | ||
| 774 | Beyond Bounding Boxes: Learning Object-Form by Model-driven Grouping | Juan Antonio Monroy*, IWR,University of Heidelberg; Bjorn Ommer | ||
| 776 | Supervised Assessment of Segmentation Hierarchies | Jordi Pont-Tuset*, UPC; Ferran Marques, Universitat PolitËcnica deCatalunya | ||
| 780 | TreeCANN – k-d tree Coherence Approximate Nearest Neighbor algorithm | Igor Olonetsky*, Tel Aviv University; Shai Avidan | ||
| 785 | Jet-Based Local Image Descriptors | Anders Boesen Lindbo Larsen*, University of Copenhagen; Sune Darkner,diku.dk; Anders Dahl, dtu.dk; Kim Pedersen, diku.dk | ||
| 789 | Automatic Exposure Correction of Consumer Photographs | Lu Yuan*, Microsoft Research Asia; Jian Sun, Microsoft Research Asia | ||
| 794 | Robust Regression | Dong Huang*, Carnegie Mellon University; Ricardo Cabral , Carnegie Mellon University;Fernando De la Torre, Carnegie Mellon University | ||
| 804 | Image Guided Tone Mapping with Locally Nonlinear Model Image Guided ToneMapping with Locally Nonlinear Model Image Guided Tone Mapping with Locally Nonlinear Model | Huxiang Gu*, CASIA; Ying Wang, NLPR; Shiming Xiang, NLPR; Gaofeng MENG,Chinese Academy of Science; Chunhong Pan, NLPR | ||
| 810 | Domain Adaptive Dictionary Learning | Qiang Qiu*, Univ. of Maryland College Park; Vishal Patel, UMIACS; PavanTuraga, University of Arizona State; Rama Chellappa, Univ. of Maryland,College Park | ||
| 811 | Latent Hough Transform for Object Detection | Nima Razavi*, ETH Zurich; Juergen Gall, ETH Zurich; Pushmeet Kohli; LucVan Gool | ||
| 815 | Canonical Scene based Contextual Model for Abnormal Object Detection | Sangdon Park; Wonsik Kim, Seoul National University; Kyoung Mu Lee*,Seoul National University | ||
| 816 | Robust 3D Action Recognition with Random Occupancy Patterns | Jiang Wang*, Northwestern University; Zicheng Liu, MSR; Jan Chorowski,University of Louisville; Zhuoyuan Chen, Northwestern University; Ying Wu,Northwestern University | ||
| 818 | Shapecollage: occlusion-aware, example-based shape interpretation | Forrester Cole*, MIT; Phillip Isola, MIT; Edward Adelson, MIT; WilliamFreeman, Massachusetts Institute of Technology ; Fredo Durand, MIT | ||
| 825 | A new image database for Image Quality Assessment | Javier Silvestre-Blanes*, UPV; Ian Van Der Linde, ARU; RubÈnPÈrez-LlorÈns, UPV | ||
| 826 | Image Labeling on a Network:\\Using Social-Network Metadata for ImageClassification | Julian McAuley*, Stanford; Jure Leskovec, Stanford | ||
| 832 | Spatio-Temporal Phrases for Activity Recognition | Yimeng Zhang*, Cornell University; Xiaoming Liu, Ge Global Research;Ming-Ching Chang, Ge Global Research; Weina Ge, Ge Global Research; TsuhanChen, Cornell University | ||
| 836 | Spatial and Angular Variational Super-resolution of 4D Light Fields | Sven Wanner, HCI; Bastian Goldluecke*, HCI | ||
| 841 | Blur-Kernel Estimation from Spectral Irregularities | Amit Goldstein, Hebrew University of Jerusalem; Raanan Fattal*, HebrewUniversity of Jerusalem | ||
| 845 | A Robust and Efficient Doubly Regularized Metric Learning Approach | Meizhu Liu*, Siemens Corporate Research; Baba Vemuri, University ofFlorida | ||
| 848 | Towards a Polynomial Time Algorithm for Triangulation | Chris Aholt*, University of Washington; Sameer Agarwal, Google; RekhaThomas, University of Washington | ||
| 850 | Interactive Facial Feature Localization | Vuong Le*, University of Illinois; Jonathan Brandt, Adobe Systems;Lubomir Bourdev Adobe SystemsInc.; Zhe Lin, Adobe; Thomas Huang, UIUC | ||
| 851 | Segmentation Based Particle Filtering for Real-Time 2D Object Tracking | Vasileios Belagiannis*, Technische Universität München; Falk Schubert,EADS Innovation Works; Nassir Navab, Technische Universität München; SlobodanIlic, TUM | ||
| 852 | Deconvolving PSFs for A Better Motion Deblurring using Multiple Images | Xiang Zhu*, UC Santa Cruz; Filip Sroubek, UTIA, Academy of Sciences ofCR; Peyman Milanfar, UC Santa Cruz | ||
| 854 | A Discriminative Data-dependent Mixture-Model Approach for MultipleInstance Learning in Image Classification | Qifan Wang*, Purdue University; Luo Si, Purdue; Dan Zhang, Purdue | ||
| 855 | Multi-Component Models for Object Detection | Chunhui Gu*, UC Berkeley; Pablo Arbelaez, UC Berkeley; Yuanqing Lin, NECLaboratories Amertica; Kai Yu, NEC Laboratories Amertica; Jitendra Malik, UCBerkeley | ||
| 856 | Discriminative Decorrelation for Clustering and Classification | Bharath Hariharan*, UC Berkeley; Jitendra Malik, UC Berkeley; DevaRamanan | ||
| 859 | Spatiotemporal Descriptor for Wide-Baseline Stereo Reconstruction ofNon-Rigid and Ambiguous Scenes | Eduard Trulls Fortuny*, Institut de RobÚtica (IRI); Alberto Sanfeliu,IRI; Francesc Moreno-Noguer, Institut de RobÚtica i Inform‡tica Industrial(IRI) | ||
| 866 | Recognizing Actions, Poses, and Objects with Relational Phraselets | Chaitanya Desai*, University of California Irvine; Deva Ramanan | ||
| 870 | No Bias Left Behind: Covariate Shift Adaptation for Discriminative 3DPose Estimation | Makoto Yamada*, Tokyo Institute of Technology; Leonid Sigal, DisneyResearch Pittsburgh; Michalis Raptis, Disney Research Pittsburgh | ||
| 877 | Surface Elevation Angle Estimation from Reflectance Monotonicity | Boxin Shi*, The University of Tokyo; Ping Tan, National University ofSingapore; Yasu Matsushita; Katsushi Ikeuchi | ||
| 880 | Generic Cuts: An Efficient Optimal Algorithm for Submodular MRF-MAPProblems with Higher Order Cliques | Chetan Arora*, IIT Delhi; Subhashis Banerjee, IIT Delhi; Prem Kalra, IITDelhi; S.N. Maheshwari, IIT Delhi | ||
| 886 | Complex Events Detection using Data-driven Concepts | Yang Yang*, UCF | ||
| 895 | Directional Space-Time Oriented Gradients for 3D Pattern Analysis | Ehsan Norouznezhad*, NICTA, UQ; Mehrtash Harandi, National ICT Australia(NICTA); Abbas Bigdeli, NICTA, UQ; Mahsa Baktash, NICTA, UQ; Adam Postula,UQ; Brian Lovell, National ICT Australia (NICTA) | ||
| 900 | Learning to Recognize Unsuccessful Activities in Depth Videos Using aTwo-Layer Latent Structural Model | Qiang Zhou*, ADSC,Singapore; Gang Wang, Nanyang Technological U | ||
| 916 | Action Recognition Using Subtensor Constraint | Qiguang Liu, Tianjin University; Xiaochun Cao* | ||
| 920 | In Defence of Negative Mining for Annotating Weakly Labeled Data | Parthipan Siva*, Queen Mary University of Londo; Tao Xiang, Queen Mary University ofLondon; Chris Russell, Queen Mary, University of Lond | ||
| 921 | Beyond Spatial Pyramids: A New Feature Extraction Framework with DenseSpatial Sampling for Image Classification | Shengye Yan*, Nanyang technological universi; Xinxing Xu, NanyangTechnological University; Dong Xu; Steve Lin | ||
| 923 | Reading Ancient Coins: Automatically Identifying Denarii using ObverseLegend Seeded Retrieval | Ognjen Arandjelovic*, Swansea University | ||
| 927 | Depth and Deblurring from a Spectrally-varying Depth-of-Field | Ayan Chakrabarti*, Harvard University; Todd Zickler | ||
| 933 | Labeling Images by Integrating Sparse Multiple Distance Learning andSemantic Context Modeling | Chuanjun Ji*, Fudan University, China; Xiangdong Zhou, Fudan University,China | ||
| 935 | PatchMatchGraph: Building a Graph of Dense Patch Correspondences forLabel Transfer | Stephen Gould*, ANU; Yuhang Zhang, ANU | ||
| 936 | Online Video Segmentation by Bayesian Split-Merge Clustering | Juho Lee*, POSTECH; Suha Kwak, POSTECH; Bohyung Han, POSTECH; SeungjinChoi, POSTECH | ||
| 937 | Joint Classification-Regression Forests for Spatially StructuredMulti-Object Segmentation | Ben Glocker*, Microsoft Research Cambridge; Olivier Pauly, TechnischeUniversitaet Muenchen; Ender Konukoglu, Microsoft Research Cambridge; AntonioCriminisi, Microsoft Research Cambridge | ||
| 938 | Robust and Practical Face Recognition via Structured Sparsity | Kui Jia*, Adv. Digital Sciences Center; Tsung-Han Chan, ADSC, Singapore; Yi Ma | ||
| 942 | Segmentation over Detection by Coupled Global and Local SparseRepresentations | Wei Xia*, NUS; Zheng Song, NUS; Jiashi Feng, NUS; Loong Fah Cheong, NUS;Shuicheng Yan | ||
| 944 | Subspace Learning in Krein Spaces: Complete Kernel Fisher Discriminantwith Indefinite Kernels | Stefanos Zafeiriou*, Imperial College London | ||
| 947 | Online Spatio-Temporal Structural Context Learning for Visual Tracking inUnconstrained Environments | Longyin Wen*, CBSR.CASIA; Zhaowei Cai, CBSR.CASIA; Zhen Lei, CBSR.CASIA;Dong Yi, CASIA; Stan Z. Li, CASIA, China | ||
| 953 | Automatic tracking a large number of moving targets in 3D | Ye Liu*, Fudan University; Hui Li; Yan Qiu Chen | ||
| 959 | A Three-Layered Approach to Facade Parsing | Andelo Martinovic*, KU Leuven; Markus Mathias, KU Leuven; JulienWeissenberg, ETHZ; Luc Van Gool, KU Leuven | ||
| 961 | A Novel Material-aware Feature Descriptor for Volumetric ImageRegistration in Diffusion Tensor Space | Shuai Li*, Beihang University, China; Qinping Zhao, Beihang University;shengfa Wang, Stony Brook University; Tingbo Hou, Stony Brook University;Aimin Hao, Beihang University; Hong Qin, Stony Brook University | ||
| 962 | A Unifying Theory of Active Discovery and Learning | Timothy Hospedales*, Queen Mary University, London; Shaogang Gong, QueenMary University, London; Tao Xiang, Queen Mary University of London | ||
| 971 | Moving Object Segmentation Using Motor Signals | Jingen Liu*, SRI International Sarnoff | ||
| 976 | Block-sparse RPCA for Consistent Foreground Detection | Zhi Gao*, National unviersity of singapo | ||
| 977 | Attribute Learning for Understanding Unstructured Social Activity | Yanwei Fu*, EECS, QMUL; Timothy Hospedales, Queen Mary University,London; Tao Xiang, Queen MaryUniversity of London; Shaogang Gong, Queen Mary University, London | ||
| 981 | Multiple View Object Cosegmentation using Appearance and Stereo Cues | Adarsh Kowdle*, Cornell University; Sudipta Sinha; Rick Szeliski | ||
| 982 | Extracting 3D Scene-consistent Object Proposals and Depth from StereoImages | Michael Bleyer, Vienna Univerity of Technology; Christoph Rhemann*,Vienna University of Technolog; Carsten Rother | ||
| 995 | Efficient Closed-Form Solution to Generalized Boundary Detection | Marius Leordeanu*, IMAR; Rahul Sukthankar, Google Research and CMU;Cristian Sminchisescu, University of Bonn | ||
| 999 | Recognizing Materials by Transfering Appearance from Virtual to RealExamples | Mario Fritz*, MPI Informatik; Wenbin Li, MPI Informatics | ||
| 1000 | Local Log-Euclidean Covariance Matrix (L$^{2}$ECM) for ImageRepresentation and Its Applications | Peihua Li*, Heilongjiang University; Qilong Wang | ||
| 1001 | Scene Recognition on the Semantic Manifold | Roland Kwitt*, Kitware Inc.; Nuno Vasconcelos, University of Californiaat San Diego; Nikhil Rasiwasia, Yahoo Research | ||
| 1006 | Repairing Sparse Low-Rank Texture | Xiao Liang*, Tsinghua University; Xiang Ren, Microsoft Research Asia;Zhengdong Zhang, Microsoft Research Asia; Yi Ma | ||
| 1010 | Statistical Inference of Motion in the Invisible | Haroon Idrees*, UCF; Imran Saleemi, UCF; Mubarak Shah, UCF | ||
| 1024 | Using linking features in learning non-parametric part models | Leonid Karlinsky*, Weizmann Institute of Science; Shimon Ullman, WeizmannInstitute of Science | ||
| 1030 | Unsupervised Temporal Commonality Discovery | Wen-Sheng Chu*, Carnegie Mellon University; Feng Zhou, Carnegie MellonUniversity; Fernando De la Torre, Carnegie Mellon University | ||
| 1032 | Finding People Using Scale, Rotation and Articulation Invariant Matching | Hao Jiang*, Boston College | ||
| 1033 | A Generative Model for Simultaneous Estimation of Human Body Shape andPixel-level Segmentation | Ingmar Rauschert*, Penn State; Robert Collins, Penn State | ||
| 1034 | Camera Pose Estimation Using First-Order Curve Differential Geometry | Ricardo Fabbri*, Brown University; Benjamin Kimia, Brown University | ||
| 1035 | Patch Complexity, Finite Pixel Correlations and Optimal Denoising | Anat Levin*, Weizmann Institute; Boaz Nadler, Weizmann Inst; FredoDurand, MIT; William Freeman, Massachusetts Institute of Technology | ||
| 1038 | Measuring Image Distances via Embedding in a Semantic Manifold | Chen Fang, Dartmouth College; Lorenzo Torresani*, Dartmouth | ||
| 1041 | Efficient Point-to-Subspace Query in L1 with Application to Robust FaceRecognition | Ju Sun*, Columbia University; Yuqian Zhang; John Wright, ColumbiaUniversity | ||
| 1043 | Unsupervised and Supervised Visual Codes with Restricted BoltzmannMachines | Hanlin Goh*, UniversitÈ Pierre et Marie Curie; Nicolas Thome, UniversitÈPierre et Marie Curie; Matthieu Cord, UniversitÈ Pierre et Marie Curie;Joo-Hwee Lim, Institute for Infocomm Research | ||
| 1049 | Towards Optimal Non-rigid Surface Tracking | Martin Klaudiny*, University of Surrey; Adrian Hilton, University ofSurrey | ||
| 1050 | Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3DReconstruction | Mathieu Salzmann*, NICTA; Raquel Urtasun, TTIC | ||
| 1051 | Filter-based Mean-Field Inference for Random Fields with Higher OrderTerms and Product Label-Spaces | Jonathan Warrell*, Oxford Brookes University; Phil Torr; Vibhav Vineet,Oxford Brookes University | ||
| 1052 | A new biologically inspired color- and shape-based image descriptor | Jun Zhang, Brown University; Youssef Barhomi, Brown University; ThomasSerre*, Brown University | ||
| 1057 | Going With the Flow: Pedestrian Efficiency in Crowded Scenes | Louis Kratz*, Drexel University; Ko Nishino, Drexel University | ||
| 1061 | Learning Spatially-Smooth Mappings in Non-Rigid Structure from Motion | Onur Hamsici, Qualcomm; Paulo Gotardo*, The Ohio State University; AleixMartinez, The Ohio State University | ||
| 1068 | Reconstructing 3D Human Pose from 2D Image Landmarks. | Varun Ramakrishna*, Carnegie Mellon University; Takeo Kanade ; YaserSheikh, CMU | ||
| 1071 | Good Regions to Deblur | Zhe Hu*, UC Merced; Ming-Hsuan Yang, University of California at Merced | ||
| 1073 | Active Frame Selection for Label Propagation in Videos | Sudheendra Vijayanarasimhan; Kristen Grauman* | ||
| 1075 | Non-causal Temporal Prior for Video Deblocking | Deqing Sun*, Brown University; Ce Liu, Microsoft Research New England | ||
| 1077 | Mediating Trajectory and Detection Graphs for Tracking through PersistentOcclusions | Katerina Fragkiadaki*, University of Pennsylvania; Weiyu Zhang,University of Pennsylvania | ||
| 1078 | Finding Correspondence from Multiple Images via Sparse and Low-rankDecomposition | Zinan Zeng*, Nanyang Technological Uni; Tsung-Han Chan, ADSC, Singapore; Kui Jia, Adv.Digital Sciences Center; Dong Xu | ||
| 1079 | Indoor Segmentation and Support Inference from RGBD Images | Nathan Silberman*, NYU; Rob Fergus; Derek Hoiem (Non-AC), UIUC;Pushmeet Kohli | ||
| 1081 | Taking Mobile Multi-Object Tracking to the Next Level: People, UnknownObjects, and Carried Items | Dennis Mitzel*, RWTH Aachen University; Bastian Leibe, RWTH AachenUniversity | ||
| 1085 | Towards Optimal Design of Time and Color Multiplexing Codes | Tsung-Han Chan*, ADSC,Singapore; Kui Jia, Adv. Digital Sciences Center; Eliot Wycoff, ADSC,Singapore; Chong-Yung Chi, National Tsing Hua University; Yi Ma | ||
| 1086 | Text Image Deblurring Using Text-specific Properties | Hojin Cho, POSTECH; Jue Wang, Adobe Systems; Seungyong Lee*, POSTECH | ||
| 1087 | Sequential Spectral Learning to Hash with Multiple Representations | SAEHOON KIM*, POSTECH; YOONSEOP KANG, POSTECH; Seungjin Choi, POSTECH | ||
| 1089 | Efficient Exact Inference for 3D Indoor Scene Understanding | Alexander Schwing*, ETH Zurich; Raquel Urtasun, TTIC | ||
| 1103 | Multidimensional Spectral Hashing | Yair Weiss; Rob Fergus*; Antonio Torralba, MIT | ||
| 1106 | Dynamic Context for Tracking Behind Occlusions | Fei Xiong, Northeastern University; Octavia Camps*, NortheasternUniversity; Mario Sznaier, Northeastern University | ||
| 1108 | Seam Segment Carving: Irregular Shape Image Retargeting | Shaoyu Qi*, University of Florida; Jeffrey Ho, University of Florida | ||
| 1110 | Reflectance and Natural Illumination from a Single Image | Stephen Lombardi*, Drexel University; Ko Nishino, Drexel University | ||
| 1111 | Recognizing Complex Events using Large Margin Joint Low-Level Event Model | Hamid Izadinia*, University of Central Florida | ||
| 1113 | Categorizing Turn-Taking Interactions | Karthir Prabhakar*, Georgia Tech; James Rehg | ||
| 1117 | To Track or To Detect? An Ensemble Framework for Optimal Selection | XU YAN*, University of Houston; Xuqing Wu; Ioannis A Kakadiaris,University of Houston; Shishir Shah, University of Houston | ||
| 1119 | Local Expert Forest of Score Fusion for Video Event Classification | Jingchen Liu, Pennsylvania State Univ.; Scott McCloskey*, Honeywell | ||
| 1126 | View-Invariant Action Recognition using Latent Kernelized Structural SVM | Xinxiao Wu*, Beijing Institute ofTechnology; Yunde Jia, Beijing Inst. ofTech. | ||
| 1131 | Learning Hybrid Part Filters for Scene Recognition | Yingbin Zheng, Fudan University; Yu-Gang Jiang*, Fudan University;Xiangyang Xue, Fudan University | ||
| 1133 | Trajectory-Based Modeling of Human Actions with Motion Reference Points | Yu-Gang Jiang*, Fudan University; Qi Dai, Fudan University; XiangyangXue, Fudan University; Wei Liu, Columbia University; Chong-Wah Ngo, CityUniversity of Hong Kong | ||
| 1138 | Visual Dictionary Learning for Joint Object Categorization andSegmentation | Rene Vidal*, Johns Hopkins University; Aastha Jain, Johns HopkinsUniversity | ||
| 1142 | Stixels motion estimation without optical flow computation | Bertan G¸nyel*, KU Leuven; Rodrigo Benenson, KU Leuven; Radu Timofte, KULeuven; Luc Van Gool, KU Leuven | ||
| 1148 | Parametric Manifold of an Object under Different Viewing Directions | Xiaozheng Zhang*, National ICT Australia; Yongsheng Gao, GriffithUniversity; Terry Caelli, National ICT Australia | ||
| 1155 | Video Matting Using Multi-Frame Nonlocal Matting Laplacain | Inchang Choi*, KAIST; Yu-Wing Tai, KAIST; Minhaeng Lee, KAIST | ||
| 1159 | Automatic localization of balloon markers and guidewire in rotationalfluoroscopy with application to 3D stent reconstruction | Yu Wang*, Siemens Corporate Research; Terrence Chen, Siemens CorporateResearch; Peng Wang; Christopher Rohkohl; Dorin Comaniciu | ||
| 1161 | In Defence of RANSAC for Outlier Rejection in Deformable Registration | Quoc Huy Tran, The University of Adelaide; Tat-Jun Chin*, The Universityof Adelaide; Gustavo Carneiro, The University of Adelaide; Michael S. Brown,; David Suter, The University of Adelaide | ||
| 1162 | Dating Historical Color Images | Frank Palermo*, Carnegie Mellon University; Alyosha Efros, CMU | ||
| 1164 | Estimation of Intrinsic Image Sequences from Image+Depth Video | Kyong Joon Lee*, Seoul NationalUniversity; Qi Zhao, University of California – Santa Cruz; Xin Tong,Microsoft Research Asia; Minmin Gong, Microsoft Research Asia; Shahram Izadi,Microsoft Research Cambridge; Sang Uk Lee, Seoul National University; PingTan; Steve Lin | ||
| 1168 | What Makes a Good Detector? — Structured Priors for Learning From FewExamples | Tianshi Gao*, Stanford University; Michael Stark; Daphne Koller,Stanford University | ||
| 1170 | Temporally Consistent 3D Scene Flow Estimation for Multi-View Data | Jaesik Park*, KAIST; Tae Hyun Oh, KAIST; Jiyoung Jung, KAIST; Yu-WingTai, KAIST; In So Kweon, KAIST | ||
| 1171 | Diagnosing Error in Object Detectors | Derek Hoiem*, University of Illinois; Yodsawalai Chodpathumwan,University of Illinois; Qieyun Dai, University of Illinois | ||
| 1176 | Two-view Underwater Structure and Motion for Cameras under FlatRefractive Interfaces | Lai Kang*, University of Alberta; National University of DefenseTechnology; Lingda Wu; Yee-Hong Yang | ||
| 1178 | Rainbow Flash Camera: Depth Edge Extraction Using Complementary Colors | Yuichi Taguchi*, MERL | ||
| 1180 | Fast approximations to structured sparse coding and applications toobject classification | Arthur Szlam*, City college of new york; Karol Gregor, Howard HughesMedical Institute; Yann LeCun, New York University | ||
| 1181 | A Naturalistic Open Source Movie for Optical Flow Evaluation | Daniel Butler*, University of Washington; Jonas Wulff, Max PlanckInstitute for Intelligent Systems; Garrett Stanley, Department of BiomedicalEngineering, Georgia Institute of Technology; Michael Black, Max PlanckInstitute for Intelligent Systems | ||
| 1186 | A Convolutional Treelets Binary Feature Approach to Fast KeypointRecognition | Chenxia Wu*, Zhejiang University; Jianke Zhu, Zhejiang University; DengCai, Zhejiang University; Chun Chen | ||
| 1195 | Online Moving Camera Background Subtraction | Ali Elqursh*, Rutgers University; Ahmed Elgammal, Rutgers University | ||
| 1202 | Bayesian Blind Deconvolution with General Sparse Image Priors | S. Derin Babacan*, University of Illinois at Urbana-Champaign; RafaelMolina, Universidad de Granada; Minh Do, University of Illinois atUrbana-Champaign; Aggelos Katsaggelos, Northwestern University | ||
| 1203 | Shape From Fluorescence | Tali Treibitz*, UCSD; Zack Murez, UCSD; David Kriegman | ||
| 1207 | A probabilistic derivative measure based on the distribution of intensitydifference | Youngbae Hwang*, KETI | ||
| 1208 | Enhancing Descriptor Approaches by a Template Structure for FaceRecognition | Liang Chen*, Uni. of N. British Columbia; Ling Yan | ||
| 1209 | 3D^2PM – 3D Deformable Part Models | Bojan Pepik*, Max Planck Informatics; Michael Stark; Peter Gehler;Bernt Schiele | ||
| 1213 | Latent Pyramidal Regions for Recognizing Scenes | Fereshteh Sadeghi*, University of Central Florida; Marshall Tappen, UCF | ||
| 1215 | Super-Resolution-based inpainting | Olivier LE MEUR*, University of Rennes 1; Christine GUILLEMOT, INRIA | ||
| 1219 | Guaranteed Ellipse Fitting with the Sampson Distance | Zygmunt Szpak*, University of Adelaide; Wojciech Chojnacki, TheUniversity of Adelaide; Anton van den hengel, University of Adelaide | ||
| 1220 | Fast Planar Correlation Clustering for Image Segmentation | Julian Yarkony, UC Irvine; Alexander Ihler, UC Irvine; Charless Fowlkes*,UC Irvine | ||
| 1225 | Coregistration: Simultaneous Alignment and Modeling of Articulated 3DShape | David Hirshberg, MPI for Intelligent Systems; Matthew Loper, MPI forIntelligent Systems; Eric Rachlin*, MPI for Intelligent Systems; MichaelBlack, Max Planck Institute for Intelligent Systems | ||
| 1228 | Pairwise Rotation Invariant Co-occurrence Local Binary Pattern | Xianbiao Qi*, BUPT; Rong Xiao, microsoft; Lei Zhang, MSRA; Jun Guo, BUPT | ||
| 1234 | Improving NCC-based Direct Visual Tracking | Glauco Scandaroli*, INRIA – Sophia Antipolis; Rogerio Richa, JohnsHopkins University; Maxime Meilland | ||
| 1238 | Efficient Similarity Derived From Kernel-based Transition Probability | Takumi Kobayashi*, National Institute of AIST; Nobuyuki Otsu | ||
| 1239 | Simultaneous Compaction and Factorization of Sparse Image Motion Matrices | Susanna Ricco*, Duke University; Carlo Tomasi | ||
| 1243 | Efficient Optimization For Low-Rank Integrated Bilinear Classifiers | Takumi Kobayashi*, National Institute of AIST; Nobuyuki Otsu | ||
| 1249 | Per-patch Descriptor Selection using Surface and Scene Properties | Ivo Everts*, UvA; Jan van Gemert, UvA; Theo Gevers, UvA | ||
| 1258 | PlantID: A Computer Vision System for Automatic Plant SpeciesIdentification | Neeraj Kumar*, University of Washington; David Jacobs; Peter Belhumeur,Columbia University; Arijit Biswas, University of Maryland; Joao Soares,University of Maryland | ||
| 1261 | A Convex Discrete-Continuous Approach for Markov Random Fields | Christopher Zach*, Microsoft Research; Pushmeet Kohli | ||
| 1265 | Augmented Attribute Representations | Viktoriia Sharmanska*, IST Austria; Novi Quadrianto, University ofCambridge; Christoph Lampert, IST Austria | ||
| 1273 | A Locally Linear Regression Model for Boundary Preserving Regularizationin Stereo Matching | Shengqi Zhu*, Univ of Wisconsin – Madison; Li Zhang, Univ. of Wisconsin -Madison; Hailin Jin | ||
| 1274 | Exploring the Spatial Hierarchy of Mixture Models for Human PoseEstimation | Yuandong Tian*, Carnegie Mellon University; C. Lawrence Zitnick,Microsoft Research; Srinivasa Narasimhan, Carnegie Mellon University | ||
| 1279 | People Orientation Recognition by Mixtures of Wrapped Distributions onRandom Trees | Davide Baltieri, University of Modena and Reggio Emilia; RobertoVezzani*, University of Modena and Reggio Emilia; Rita Cucchiara, Universityof Modena and Reggio Emilia | ||
| 1280 | A Novel Fast Method for $L_\infty$ Problems in Multiview Geometry | Zhijun Dai*, Intelligence Engineering Labor; Yihong Wu; HonganWang | ||
| 1283 | Low-Rank Sparse Learning for Robust Visual Tracking | Tianzhu Zhang*, ADSC; Bernard Ghanem; Narendra Ahuja, University ofIllinois, Urbana Champaign | ||
| 1286 | Robust and Efficient Subspace Segmentation via Least Squares Regression | Can-Yi Lu*, USTC; lin zhu; deshuang huang | ||
| 1287 | Visibility Probability Structure from SfM Dataset and Applications | Siddharth Choudhary*, IIIT Hyderabad; P J Narayanan | ||
| 1288 | Hybrid Classifiers for Object Classification with a Rich Background | Margarita Osadchy*, University of Haifa; Daniel Keren, University ofHaifa; Bella Specktor, University of Haifa | ||
| 1289 | A Generative Model for Online Depth Fusion | Oliver Woodford*, Toshiba Research Europe Ltd; George Vogiatzis, AstonUniversity | ||
| 1290 | Mixed-Resolution Patch-Matching | Harshit Sureka*, IIIT-Hyderabad; P J Narayanan | ||
| 1294 | Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model | Jingyu Yang*, Tianjin University; Xinchen Ye, Tianjin University; Kun Li,Tianjin University; Chunping Hou, Tianjin University | ||
| 1298 | Real-Time Camera Tracking: When is High Frame-Rate Best? | Ankur Handa, Imperial College London; Richard Newcombe, Imperial CollegeLondon; Adrien Angeli; Andrew Davison*, Imperial College London | ||
| 1299 | Motion Interchange Patterns for Action Recognition in UnconstrainedVideos | Orit Kliper-Gross, Weizmann Institute of Science; Yaron Gurovich,Tel-Aviv University; Tal Hassner*, The Open University of Israel; Lior Wolf,Tel-Aviv University | ||
| 1302 | Exploiting Sparse Representations for Robust Analysis of Noisy ComplexVideo Scenes | Gloria Zen*, University of Trento; Elisa Ricci, University of Perugia;Nicu Sebe, University of Trento | ||
| 1308 | An Automatic Pose Invariant FRAD Approach | Eslam Mostafa*, University of Louisville; Asem Ali; Aly Farag | ||
| 1322 | A non-parametric hierarchical model to discover behavior dynamics fromtracks | Dariu Gavrila*, University of Amsterdam; Julian Kooij; GwennEnglebienne | ||
| 1328 | Generalized Roof Duality for Multi-Label Optimization: Optimal LowerBounds and Persistency | Thomas Windheuser*, Technische Universität München; Hiroshi Ishikawa;Daniel Cremers | ||
| 1330 | Semantic Segmentation with Second-Order Pooling | Joao Carreira*, University of Coimbra; Rui Caseiro, Institute SystemsRobotics; Jorge Batista, Institute Systems Robotics – University Coimbra -Portugal; Cristian Sminchisescu, University of Bonn | ||
| 1331 | Separability Oriented Preprocessing for Illumination-invariant FaceRecognition | Hu Han*, Michigan State University; Shiguang Shan, ICT, CAS; Xilin Chen,ICT, CAS; Shihong Lao, Omron Company; Wen Gao, Peking University | ||
| 1335 | Minimal Correlation Ensemble | Noga Levy*, Tel Aviv University; Lior Wolf, Tel-Aviv University | ||
| 1340 | Elastic Shape Matching of Parameterized Surfaces Using Square Root NormalFields | Ian Jermyn; Sebastian Kurtek*; Eric Klassen, Florida StateUniversity; Anuj Srivastava, Florida State University | ||
| 1357 | Contextual Object Detection using Set-based Classification | Ramazan Gokberk CINBIS*, INRIA Grenoble; Stan Sclaroff, Boston University | ||
| 1358 | A Bayesian Approach to Alignment-based Image Hallucination | Marshall Tappen*, UCF; Ce Liu, Microsoft Research New England | ||
| 1360 | KAZE Features | Pablo Fern·ndez Alcantarilla*, UniversitÈ d’Auvergne; Adrien Bartoli,ISIT; Andrew Davison, Imperial College London | ||
| 1369 | Saliency Modeling from Image Histograms | Shijian Lu*, I2R, A*STAR; Joo-Hwee Lim, Institute for Infocomm Research | ||
| 1373 | N-tuple Color Segmentation for Multi-View Silhouette Extraction | Abdelaziz Djelouah*, Inria; technicolor; edmond boyer, INRIA;Jean-Sebastien Franco, INRIA; Patrick Perez, technicolor; FranÁois Le Clerc,Technicolor | ||
| 1378 | Local Label Descriptor for Example based Semantic Image Labeling | Yiqing Yang*, Univ of Wisconsin – Madison; Zhouyuan Li, Univ of Wisconsin- Madison; Li Zhang, Univ. of Wisconsin – Madison; Christopher Murphy, Univof Wisconsin – Madison; Jim Hoeve, Univ of Wisconsin – Madison; HongruiJiang | ||
| 1383 | Photo-Sequensing | Tali Basha*, Tel Aviv University; Shai Avidan; Yael Moses, IDC | ||
| 1385 | Age Invariant Face Verification with Relative Craniofacial Growth Model | Tao Wu*, University of Maryland; Rama Chellappa, Univ. of Maryland,College Park | ||
| 1399 | Sparse Embedding: A framework for Sparsity Promoting DimensionalityReduction | Hien Nguyen*, University of Maryland; Vishal Patel, UMIACS; NasserNasrabadi, Army Research Laboratory; Rama Chellappa, Univ. of Maryland,College Park | ||
| 1403 | Inferring gene interaction networks from ISH images via kernelizedgraphical models | Kriti Puniyani*, Carnegie Mellon University; Eric Xing | ||
| 1407 | Random Forest for Image Annotation | Hao Fu*, University of Nottingham; Qian Zhang, University of Nottingham;Guoping Qiu, University of Nottingham | ||
| 1422 | Continuous Markov Random Fields for Robust Stereo Estimation | Koichiro Yamaguchi, TTI Chicago; Tamir Hazan, TTI Chicago; DavidMcAllester, TTI Chicago; Raquel Urtasun*, TTIC | ||
| 1423 | Loss-Specific Training of Non-Parametric Image Restoration Models: A NewState of the Art | Jeremy Jancsary*, OFAI; Sebastian Nowozin, Microsoft Research; CarstenRother | ||
| 1427 | A Probabilistic Approach to Robust Matrix Factorization | Naiyan Wang*, HKUST; Tiansheng Yao; Jingdong Wang, Microsoft ResearchAsia; Dit-Yan Yeung | ||
| 1428 | Continuous Regression for Non-Rigid Image Alignment | Enrique Sanchez Lozano*, Gradiant; Fernando De la Torre, Carnegie MellonUniversity; Daniel Gonzalez Jimenez, Gradiant | ||
| 1429 | Fourier Kernel Learning | Eduard-Gabriel Bazavan*, IMAR; Fuxin Li, Georgia Inst. of Tech.; CristianSminchisescu, University of Bonn | ||
| 1430 | Simultaneous Tracking of Multiple People and their Parts | Hamid Izadinia*, University of Central Florida | ||
| 1435 | Information Theoretic Learning for Pixel-based Visual Agents | Marco Maggini*, University of Siena; Stefano Melacci, University ofSiena; Marco Gori, University of Siena; Marco Lippi, University of Siena | ||
| 1436 | Large Scale Visual Geo-Localization of Images in Mountainous Terrain | Georges Baatz*, ETHZ; Olivier Saurer, ETHZ; Kevin Koeser, ETHZ; MarcPollefeys | ||
| 1439 | A theoretical analysis of camera response functions in image deblurring | Xiaogang Chen*, Shanghai Jiaotong University; Jingyi Yu; Jie Yang;Feng Li, University of Delaware | ||
| 1448 | Fast Parameter Sensitivity Analysis of PDE-based Image Processing Methods | Torben Pätz*, Jacobs University Bremen; Tobias Preusser, JacobsUniversity Bremen | ||
| 1454 | The Lazy Flipper: Efficient Depth-limited Exhaustive Search in DiscreteGraphical Models | Bjoern Andres*, Harvard University; Jˆrg Kappes, Heidelberg University;Thorsten Beier, University of Heidelberg; Ullrich Koethe, University ofHeidelberg, Germany; Fred Hamprecht, University of Heidelberg, Germany | ||
| 1459 | Road Scene Segmentation from a Single Image | Jose Alvarez*, ComputerVision Center; Theo Gevers, UvA; Yann LeCun, New York University; AntonioLopez, Computer Vision Center | ||
| 1465 | Mixture Component Identification and Learning for Visual Recognition | Omid Aghazadeh*, CVAP, KTH; Hossein Azizpour, CVAP, KTH; Josephine Sullivan; Stefan Carlsson, CVAP,KTH | ||
| 1467 | Predictable and Discriminative Binary Codes | Mohammad Rastegari*, Dartmouth college; Ali Farhadi; DavidForsyth | ||
| 1473 | Scene semantics from long-term observation of people | Vincent Delaitre; David Fouhey, Carnegie Mellon University; IvanLaptev*; Josef Sivic, INRIA / Ecole Normale Superieure; Abhinav Gupta;Alyosha Efros, CMU | ||
| 1476 | Local Higher-order Statistics (LHS) for Texture Categorization and FacialAnalysis | Gaurav Sharma, Unicaen; Sibt ul Hussain*, UniversitÈ de Caen; FredericJurie, University of Caen | ||
| 1482 | Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns | Yuichi Taguchi*, MERL; Amit Agrawal, MERL; Oncel Tuzel, MERL | ||
| 1501 | Face Association across Unconstrained Video Frames Using ConditionalRandom Fields | Ming Du*, University of Maryland; Rama Chellappa, Univ. of Maryland,College Park | ||
| 1503 | Non-Rigid Shape Registration: A Single Linear Least Squares Framework | Mohammad Rouhani*, CVC; Angel Sappa, Computer Vision Center | ||
| 1509 | Image Retrieval with Structured Object Queries Using Latent Ranking SVM | Tian Lan*, Simon Fraser University; Weilong Yang, Simon FraserUniversity; Yang Wang, UIUC; Greg Mori | ||
| 1512 | Similarity Constrained Latent Support Vector Machine: An Application toWeakly Supervised Action Classification | Nataliya Shapovalova*, SFU; Arash Vahdat, SFU; Kevin Cannons, SFU; TianLan, SFU; Greg Mori | ||
| 1521 | Refractive Calibration of Underwater Cameras | Anne Sedlazeck*, Kiel University; Reinhard Koch | ||
| 1526 | Detection of Independently Moving Objects in Non-planar Scenes viaMulti-Frame Monocular Epipolar Constraint | Vladimir Reilly*, University of Central Florida; Soumyabrata Dey,University of Central Florida; Mubarak Shah, UCF | ||
| 1532 | SEEDS: Superpixels Extractedvia Energy-Driven Sampling | Michael Van den Bergh*, ETH Zurich; Gemma Roig Noguera, ETH; Xavier Boix,ETH; Luc Van Gool | ||
| 1535 | Shape from Angle Regularity | Aamer Zaheer, LUMS School of Science and Engineering; Maheen Rashid, LUMSSchool of Science and Engineering; Sohaib Khan*, LUMS School of Science andEng | ||
| 1543 | Streaming Hierarchical Video Segmentation | Chenliang Xu, SUNY at Buffalo; Caiming Xiong, SUNY at Buffalo; JasonCorso*, SUNY at Buffalo | ||
| 1553 | Co-inference for Multi-modal Scene Analysis | Daniel Munoz*, Carnegie Mellon University; James Bagnell; MartialHebert | ||
| 1560 | A Unified View on Deformable Shape Factorizations | Roland Angst*, ETH Zurich; Marc Pollefeys | ||
| 1566 | Large-lexicon attribute-consistent text recognition in natural images | Tatiana Novikova, Moscow State University; Olga Barinova*, Moscow StateUniversity; Pushmeet Kohli; Victor Lempitsky | ||
| 1567 | Team Activity Recognition in Sports | Cem Direkoglu*, Dublin City University; Noel O’Connor, Dublin CityUniversity | ||
| 1568 | Dictionary-based Face Recognition from Video | Yi-Chen Chen*, UMIACS; Vishal Patel, UMIACS; Jonathon Phillips; RamaChellappa, Univ. of Maryland, College Park | ||
| 1573 | Efficient Learning of Camera Transitions for Person Re-Identification | Martin Hirzer*, Graz University of Technology; Peter Roth, GrazUniversity of Technology; Horst Bischof | ||
| 1588 | Saliency-Based Space-Variant Descriptor Sampling for Action Recognition | Eleonora Vig*, Rowland Institute at Harvard; Michael Dorr, Schepens EyeResearch Institute, Harvard Medical School; David Cox, Rowland Institute atHarvard | ||
| 1589 | Finding the exact rotation between two images independently of thetranslation | Laurent Kneip*, ETH Zurich; Roland Siegwart, ETH Zurich; MarcPollefeys | ||
| 1597 | Contraction Moves for Geometric Model Fitting | Oliver Woodford*, Toshiba Research Europe; Minh-Tri Pham, ToshibaResearch Europe; Atsuto Maki, Toshiba Research Europe; Riccardo Gherardi,Toshiba Research Europe; Frank Perbet, Toshiba Research Europe; BjornStenger, Toshiba Research Europe | ||
| 1609 | Dynamic Probabilistic CCA for Analysis of Affective Behaviour | Mihalis Nicolaou*, Imperial College London; Vladimir Pavlovic, RutgersUniversity; Maja Pantic, Imperial College London | ||
| 1615 | Connecting Missing Links: Object Discovery from Sparse Observations | Hongwen Kang*, Carnegie Mellon University; Martial Hebert; Takeo Kanade | ||
| 1616 | General and Nested Wiberg Minimization: L_2 and Maximum Likelihood | Dennis Strelow*, Google | ||
| 1619 | Motion Capture of Hands in Action using Discriminative Salient Points | Luca Ballan*, ETH Zurich; Aparna Taneja, ETH Zurich; Juergen Gall, ETHZurich; Luc Van Gool; Marc Pollefeys | ||
| 1625 | A new set of quartic trivariate polynomial equations for stratifiedcamera self-calibration under zero-skew and constant parameters assumptions | Adlane Habed*, University of Bourgogne; Kassem Al Ismaeil, University ofLuxembourg; David Fofi, University of Bourgogne | ||
| 1637 | A minimal solution for camera calibration using independent pairwisecorrespondences | Francisco Vasconcelos*, ISR – Coimbra; Jo„o Pedro Barreto, ISR; edmondboyer, INRIA | ||
| 1656 | Robust and Accurate Shape Model Fitting using Random Forest RegressionVoting | Tim Cootes*, The University of Manchester; Mircea Ionita, The Universityof Manchester; Claudia Lindner, The University of Manchester; Patrick Sauer,The University of Manchester | ||
| 1664 | Disentangling factors of variation for facial expression recognition | Salah Rifai*, Universite de Montreal; Yoshua Bengio, U. Montreal; AaronCourville, U. Montreal; Pascal Vincent, UniversitÈ de MontrÈal; Mehdi Mirza,U. Montreal | ||
| 1675 | Recording and playback of camera shake: benchmarking blind deconvolutionwith a real-world database | Rolf Koehler*, MPI for Intelligent Systems; Michael Hirsch, MPI forIntelligent Systems; Stefan Harmeling, MPI for Intelligent Systems; BettyMohler; Bernhard Schˆlkopf, MPI for Intelligent Systems | ||
| 1677 | Joint Image Classification and Annotation via Biased Random Walk onTri-Relationship Graph | Xiao Cai*, UTA; Feiping Nie, UTA; Heng Huang, University of Texas atArlington | ||
| 1682 | Real–Time Human Pose Tracking using Range Cameras | Varun Ganapathi*, Google; Christian Plagemann, Google Research; DaphneKoller, Stanford University; Sebastian Thrun, Google | ||
| 1687 | Spring Lattice Counting Grids | Alessandro Perina*, Microsoft Research; Nebojsa Jojic, Microsoft Research | ||
| 1688 | Efficient Recursive Algorithms for Computing the Mean Diffusion Tensorand Applications to DTI Segmentation | Hesamoddin Salehian, University of Florida; Guang Cheng, University ofFlorida; Baba Vemuri*, University of Florida | ||
| 1691 | Semi-Nonnegative Matrix Factorization for Motion Segmentation withMissing Data | Quanyi Mo*, Colorado State University; Bruce Draper, Colorado StateUniversity | ||
| 1699 | Learning-Based Symmetry Detection in Natural Images | Stavros Tsogkas*, Ecole Centrale de Paris; Iasonas Kokkinos, EcoleCentrale Paris/INRIA | ||
| 1707 | Beyond the line of sight: labeling the underlying surfaces | Ruiqi Guo*, UIUC; Derek Hoiem, University of Illinois | ||
| 1711 | Hand Pose Estimation and Hand Shape Classification using Multi–layeredRandomized Decision Forests | Cem Keskin*, Bo?aziÁi University; Yunus Emre Kara; Furkan K?raÁ; LaleAkarun | ||
| 1712 | Nonmetric Priors for Continuous Multilabel Optimization | Evgeny Strekalovskiy*, Technical University Munich; Claudia Nieuwenhuis,TU München; Daniel Cremers | ||
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