Learning active basis model for object detection and recognition YN Wu, Z Si, H Gong, SC Zhu International journal of computer vision 90 (2), 198-235, 2010 | 216 | 2010 |
Learning and-or templates for object recognition and detection Z Si, S Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 | 144 | 2013 |
Learning hybrid image templates (hit) by information projection Z Si, SC Zhu IEEE Transactions on pattern analysis and machine intelligence 34 (7), 1354-1367, 2011 | 117 | 2011 |
Unsupervised learning of event and-or grammar and semantics from video ZZ Si, MT Pei, B Yao, SC Zhu 13th International Conference on Computer Vision 2 (6), 2011 | 114 | 2011 |
Deformable template as active basis YN Wu, Z Si, C Fleming, SC Zhu 11th International Conference on Computer Vision, 1-8, 2007 | 67 | 2007 |
Learning mixed templates for object recognition Z Si, H Gong, YN Wu, SC Zhu 2009 IEEE Conference on Computer Vision and Pattern Recognition, 272-279, 2009 | 43 | 2009 |
Tsinghua University at TRECVID 2005. J Yuan, H Wang, L Xiao, D Wang, D Ding, Y Zuo, Z Tong, X Liu, S Xu, ... TRECVID, 2005 | 42 | 2005 |
Learning explicit and implicit visual manifolds by information projection SC Zhu, K Shi, Z Si Pattern Recognition Letters 31 (8), 667-685, 2010 | 32 | 2010 |
Unsupervised learning of compositional sparse code for natural image representation Y Hong, Z Si, W Hu, SC Zhu, YN Wu Quarterly of Applied Mathematics, 373-406, 2014 | 28 | 2014 |
Using high-level semantic features in video retrieval W Zheng, J Li, Z Si, F Lin, B Zhang Image and video retrieval, 370-379, 2006 | 28 | 2006 |
Learning and Parsing Video Events with Goal and Intent Prediction M Pei, Z Si, B Yao, SC Zhu Computer Vision and Image Understanding, 2013 | 20 | 2013 |
Learning active basis models by EM-type algorithms Z Si, H Gong, SC Zhu, YN Wu Statistical Science 25 (4), 458-475, 2010 | 14 | 2010 |
Learning and-or templates for object modeling and recognition Z Si, SC Zhu PAMI 35 (9), 2189-2205, 2013 | 11 | 2013 |
Video event parsing and learning with goal and intent prediction M Pei, Z Si, B Yao, SC Zhu Computer Vision and Image Understanding 117 (10), 1369-1383, 2013 | 10 | 2013 |
Unsupervised Learning of Stochastic AND-OR Templates for Object Modeling Z Si, SC Zhu ICCV Second International Workshop on Stochastic Image Grammars, 2011 | 8 | 2011 |
Wavelet, active basis, and shape script: a tour in the sparse land Z Si, YN Wu Proceedings of the international conference on Multimedia information …, 2010 | 5 | 2010 |
Structure vs. Appearance and 3D vs. 2D? A Numeric Answer W Hu, Z Si, SC Zhu Shape Perception in Human and Computer Vision: An Interdisciplinary …, 2013 | | 2013 |
Learning AND-OR Templates for Object Recognition by Information Projection Z Si UCLA Statistics Department, 2011 | | 2011 |