CVPR2013-papers

1,PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors
Keyang Shi, Keze Wang, Jiangbo Lu, Liang Lin

http://ss.sysu.edu.cn/~ll/publications.html

2,Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection
Parthipan Siva, Chris Russell, Tao Xiang, Lourdes Agapito

http://www.eecs.qmul.ac.uk/~lourdes/

3, Hierarchical Saliency Detection
Qiong Yan, Li Xu, Jianping Shi, Jiaya Jia

4,Saliency Detection via Graph-Based Manifold Ranking
Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, Xiang Ruan

http://faculty.ucmerced.edu/mhyang/pubs.html

5, Saliency Aggregation: A Data-driven Approach
Long Mai, Yuzhen Niu, Feng Liu

http://web.cecs.pdx.edu/~fliu/publication.htm

6,What Makes a Patch Distinct?[PDF]
Ran Margolin, Ayellet Tal, Lihi Zelnik-Manor

[code] http://cgm.technion.ac.il/Computer-Graphics-Multimedia/Software/DstnctSal/

Low-level processing:

Finding Things: Image Parsing with Regions and Per-Exemplar Detectors
Joseph Tighe, Svetlana Lazebnik

 

Bringing Semantics Into Focus Using Visual Abstraction
Larry Zitnick, Devi Parikh

 

PatchMatch Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation
Jiangbo Lu, Hongsheng Yang, Dongbo Min, Minh Do

 

Boosting Binary Keypoint Descriptors
Tomasz Trzcinski, Mario Christoudias, Pascal Fua, Vincent Lepetit

你可能感兴趣的:(c)