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ECCV 2012 List of accepted papers
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; |
本文标签： ECCV 2012 List of accepted papers
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