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Zhangzhang Si
Zhangzhang Si
Google Inc.
Verified email at stat.ucla.edu
Title
Cited by
Cited by
Year
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
2162010
Learning and-or templates for object recognition and detection
Z Si, S Zhu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
1442013
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
1172011
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
1142011
Deformable template as active basis
YN Wu, Z Si, C Fleming, SC Zhu
11th International Conference on Computer Vision, 1-8, 2007
672007
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
432009
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
422005
Learning explicit and implicit visual manifolds by information projection
SC Zhu, K Shi, Z Si
Pattern Recognition Letters 31 (8), 667-685, 2010
322010
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
282014
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
282006
Learning and Parsing Video Events with Goal and Intent Prediction
M Pei, Z Si, B Yao, SC Zhu
Computer Vision and Image Understanding, 2013
202013
Learning active basis models by EM-type algorithms
Z Si, H Gong, SC Zhu, YN Wu
Statistical Science 25 (4), 458-475, 2010
142010
Learning and-or templates for object modeling and recognition
Z Si, SC Zhu
PAMI 35 (9), 2189-2205, 2013
112013
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
102013
Unsupervised Learning of Stochastic AND-OR Templates for Object Modeling
Z Si, SC Zhu
ICCV Second International Workshop on Stochastic Image Grammars, 2011
82011
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
52010
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
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Articles 1–18