- CSB - MetaPress - Google - Bing - Yahoo
 | 2011 | |
|---|---|---|
| j12 |      | Ray-Bing Chen, Chi-Hsiang Chu, Te-You Lai, Ying Nian Wu: Stochastic matching pursuit for Bayesian variable selection. Statistics and Computing 21(2): 247-259 (2011) |
| c13 | | |
| 2010 | ||
| j11 | | Ying Nian Wu, Zhangzhang Si, Haifeng Gong, Song Chun Zhu: Learning Active Basis Model for Object Detection and Recognition. International Journal of Computer Vision 90(2): 198-235 (2010) |
| c12 | | Zhangzhang Si, Ying Nian Wu: Wavelet, active basis, and shape script: a tour in the sparse land. Multimedia Information Retrieval 2010: 201-210 |
| 2009 | ||
| c11 | | Zhangzhang Si, Haifeng Gong, Ying Nian Wu, Song Chun Zhu: Learning mixed templates for object recognition. CVPR 2009: 272-279 |
| 2007 | ||
| j10 | | Ray-Bing Chen, Ying Nian Wu: A null space method for over-complete blind source separation. Computational Statistics & Data Analysis 51(12): 5519-5536 (2007) |
| j9 | | Cheng-en Guo, Song Chun Zhu, Ying Nian Wu: Primal sketch: Integrating structure and texture. Computer Vision and Image Understanding 106(1): 5-19 (2007) |
| c10 | | Ying Nian Wu, Zhangzhang Si, Chuck Fleming, Song Chun Zhu: Deformable Template As Active Basis. ICCV 2007: 1-8 |
| 2003 | ||
| j8 | | Gianfranco Doretto, Alessandro Chiuso, Ying Nian Wu, Stefano Soatto: Dynamic Textures. International Journal of Computer Vision 51(2): 91-109 (2003) |
| j7 | | Cheng-en Guo, Song Chun Zhu, Ying Nian Wu: Modeling Visual Patterns by Integrating Descriptive and Generative Methods. International Journal of Computer Vision 53(1): 5-29 (2003) |
| c9 | | Cheng-en Guo, Song Chun Zhu, Ying Nian Wu: Towards a Mathematical Theory of Primal Sketch and Sketchability. ICCV 2003: 1228-1235 |
| 2002 | ||
| c8 | | Ying Nian Wu, Song Chun Zhu, Cheng-en Guo: Statistical Modeling of Texture Sketch. ECCV (3) 2002: 240-254 |
| c7 | | |
| 2001 | ||
| j6 | | Alan L. Yuille, James M. Coughlan, Ying Nian Wu, Song Chun Zhu: Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? International Journal of Computer Vision 41(1/2): 9-33 (2001) |
| c6 | | Payam Saisan, Gianfranco Doretto, Ying Nian Wu, Stefano Soatto: Dynamic Texture Recognition. CVPR (2) 2001: 58-63 |
| c5 |  | Cheng-en Guo, Song Chun Zhu, Ying Nian Wu: Visual Learning by Integrating Descriptive and Generative Methods. ICCV 2001: 370-377 |
| c4 | | |
| 2000 | ||
| j5 | | Ying Nian Wu, Song Chun Zhu, Xiuwen Liu: Equivalence of Julesz Ensembles and FRAME Models. International Journal of Computer Vision 38(3): 247-265 (2000) |
| j4 | | Song Chun Zhu, Xiuwen Liu, Ying Nian Wu: Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 554-569 (2000) |
| c3 | | Alan L. Yuille, James M. Coughlan, Song Chun Zhu, Ying Nian Wu: Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? CVPR 2000: 1558-1565 |
| 1999 | ||
| j3 | | Song Chun Zhu, Ying Nian Wu: From local features to global perception - A perspective of Gestalt psychology from Markov random field theory. Neurocomputing 26-27: 939-945 (1999) |
| c2 | | Ying Nian Wu, Song Chun Zhu, Xiuwen Liu: Equivalence of Julesz and Gibbs Texture Ensembles. ICCV 1999: 1025-1032 |
| 1998 | ||
| j2 | | Song Chun Zhu, Ying Nian Wu, David Mumford: Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling. International Journal of Computer Vision 27(2): 107-126 (1998) |
| 1997 | ||
| j1 | | Song Chun Zhu, Ying Nian Wu, David Mumford: Minimax Entropy Principle and Its Application to Texture Modeling. Neural Computation 9(8): 1627-1660 (1997) |
| 1996 | ||
| c1 | | Song Chun Zhu, Ying Nian Wu, David Mumford: FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling. CVPR 1996: 686-693 |
Colors in the list of coauthors
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