2012-CVPR\ECCV感兴趣文章列表

CVPR2012-Cosegmentation（协同分割）等

On Multiple Foreground Cosegmentation，（Project）Gunhee Kim,Eric Xing；ORAL

Weakly Supervised Structured Output Learning for Semantic Segmentation (PDF)，Alexander Vezhnevets, Vittorio Ferrari,
Joachim Buhmann；ORAL

Finding Animals: Semantic Segmentation using Regions and Parts，(PDF)Pablo Arbelaez, Bharath
Hariharan, Chunhui Gu, Saurabh Gupta, Lubomir Bourdev, Jitendra Malik；ORAL

Multi-Class Cosegmentation，(PDF)Armand Joulin, Francis Bach, Jean Ponce；

Figure-ground segmentation by transferring window masks， Daniel Kuettel,
Vittorio Ferrari；

The Role of Image Understanding in Segmentation，(PDF)Larry Zitnick,
Devi Parikh；

Layered Segmentation and Optical Flow Estimation Over Time，
Deqing Sun, Erik Sudderth, Michael Black；

A Hierarchical Image Clustering Cosegmentation Framework，(PDF)Edward Kim, Hongsheng Li,Xiaolei
Huang；

Affinity Learning via Self-diffusion for Image Segmentation and Clustering， Bo Wang,Zhuowen Tu；

Describing the Scene as a Whole: Joint Object Detection, Scene Classification and Semantic Segmentation，Jian Yao, Sanja Fidler,Raquel
Urtasun；

Joint 2D-3D Temporally Consistent Semantic Segmentation of Street Scenes，(PDF)Georgios
Floros, Bastian Leibe；

Exploiting Nonlocal Spatiotemporal Structure for Video Segmentation，(PDF, Slides)Hsien-Ting
Cheng, Narendra Ahuja；

Joint Motion Estimation and Segmentation of Complex Scenes with Label Costs and Occlusion Modeling， Markus Unger, Manuel Werlberger, Thomas Pock, Horst Bischof；

Unsupervised co-segmentation through region matching (PDF)，Jose Rubio, Joan Serrat, Antonio
López, Nikos Paragios；

Segmentation Using Superpixels: A Bipartite Graph Partitioning Approach，(PDF)Zhenguo Li, Xiao-Ming Wu,
Shih-Fu Chang；

Multiclass Pixel Labeling with Non-Local Matching Constraints， (PDF)Stephen Gould；

Regression Tree Fields -- An Efficient, Non-parametric Approach to Image Labeling Problems (PDF,project,supplementary
material)，Jeremy Jancsary,Sebastian Nowozin,Toby Sharp,Carsten
Rother

ECCV2012-目标检测与分割

Object Co-detection

Yinzge Bao (U of Michigan at Ann Arbor), Yu Xiang (University of Michigan), Silvio Savarese (The University of Michigan - Ann Arbor)

Hausdorff Distance Constraint for Multi-Surface Segmentation

Frank Schmidt (ESIEE), Yuri Boykov (University of Western Ontario)

Background Subtraction using Group Sparsity and Low Rank constraint

Xinyi Cui (Rutgers University), Junzhou Huang, shaoting Zhang (Rutgers University), Dimitris Metaxas (Rutgers University)

Shape Sharing for Object Segmentation

Jaechul Kim (University of Texas at Austin), Kristen Grauman

On Learning Higher-Order Consistency Potentials for Multi-class Pixel Labeling

Kyoungup Park (ANU), Stephen Gould (ANU)

Object detection using strongly-supervised deformable part models

Hossein Azizpour (KTH), Ivan Laptev

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)

Latent Hough Transform for Object Detection

Nima Razavi (ETH Zurich), Juergen Gall (ETH Zurich), Pushmeet Kohli, LucVan Gool

Annotation Propagation in Large Image Databases via Dense Image Correspondence

Michael Rubinstein (MIT), Ce Liu (Microsoft Research New England), WilliamFreeman (Massachusetts Institute of Technology)

Fast Tiered Labeling with Topological Priors

Ying Zheng (Duke University - Computer Science), Steve Gu (DukeUniversity - Computer Scie), Carlo Tomasi

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)

Joint Classification-Regression Forests for Spatially Structured Multi-Object Segmentation

Ben Glocker (Microsoft Research Cambridge), Olivier Pauly (TechnischeUniversitaet Muenchen), Ender Konukoglu (Microsoft Research Cambridge), AntonioCriminisi (Microsoft Research Cambridge)

Using linking features in learning non-parametric part models

Leonid Karlinsky (Weizmann Institute of Science), Shimon Ullman (WeizmannInstitute of Science)

Connecting Missing Links: Object Discovery from Sparse Observations

Hongwen Kang (Carnegie Mellon University), Martial Hebert, Takeo Kanade

Beyond the line of sight: labeling the underlying surfaces

Ruiqi Guo (UIUC), Derek Hoiem (University of Illinois)