Long (Leo) Zhu
| Contact | |
| Office: | 8145 Math Science Bldg. |
| Phone: | (310)-206-7721 |
| E-mail: | lzhu AT stat DOT ucla DOT edu |
| Advisor: | Alan Yuille |
| Interests: | Machine Learning, Computer Vision and Natural Language Modeling |
Long (Leo) Zhu |
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Selected Papers:
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan Yuille: Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. ECCV 2008. [preview] [pdf]
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan Yuille: Max Margin AND/OR Graph Learning for Parsing the Human Body. CVPR 2008. [pdf] [dataset]
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan Yuille: Structure-Perceptron Learning of a Hierarchical Log-Linear Model. CVPR 2008. [pdf] [testing results] [dataset I] [dataset II]
Yuanhao Chen, Long Zhu, Alan Yuille, Hongjiang Zhang: Unsupervised Learning of Probabilistic Object Models for Object Classification, Segmentation and Recognition. CVPR 2008. [pdf] [dataset]
Yuanhao Chen, Long Zhu, Chenxi Lin, Alan Yuille, Hongjiang Zhang: Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing. NIPS 2007. [pdf] See the movie illustration [ppt]
Long Zhu, Yuanhao Chen, Alan Yuille: Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. To appear in TPAMI 2008. [pdf]
Long Zhu, Yuanhao Chen, Alan Yuille: Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing. NIPS 2006. [pdf]
Long Zhu, Alan L. Yuille: A Hierarchical Compositional System for Rapid Object Detection. NIPS 2005 [pdf]
Rong Xiao, Long Zhu, HongJiang Zhang: Boosting Chain Learning for Object Detection. ICCV 2003
Stan Z. Li, Long Zhu, ZhenQiu Zhang, Andrew Blake, HongJiang Zhang, Harry Shum: Statistical Learning of Multi-view Face Detection. ECCV 2002
Projects and Dataset:
Articulated Object Parsing: Berkeley Human Baseball;
Deformable Object Parsing (Alignment/Matching): Weizmann Horse Testing Results . Rigid Object Alignment: Microsoft Multi-View Face Alignment
Unified Probabilistic Object Model (POM) for Classification, Segmentation and Recognition: Caltech-101
Rigid Object Detection: CMU Multi-View Face Detection
Paper Reading List : 2007
Models:
