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Leo Zhu Postdoctoral Associate in Bill Freeman's group 32-D462, Stata Center leo zhu AT csail dot mit dot edu
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My research interests are statistical machine learning, computational vision and graphics, with particular emphasis on learning models for visual patterns such as textures, objects and image scenes.
[Projects] [Publications] [Download] [Dataset]
Long Zhu, Yuanhao Chen, Antonio Torralba, William Freeman, Alan Yuille. Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection. CVPR 2010. [pdf] | |
Long Zhu, Yuanhao Chen, Alan
Yuille, William Freeman. Latent Hierarchical Structural Learning for Object
Detection. CVPR 2010. [pdf]
Yuanhao Chen, Long Zhu, Alan Yuille. Active Mask Hierarchies for Object Detection. ECCV 2010. [pdf] Presentation at PASCAL Visual Object Classes Challenge Workshop 2010. [code] |
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Long Zhu, Yuanhao Chen, William Freeman, Antonio Torralba. Nonparametric Bayesian Texture Learning and Synthesis. NIPS 2009. [pdf] [ppt] | |
Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille.
Recursive Segmentation and Recognition Templates for 2D Parsing. NIPS 2008.
[pdf] Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille. Recursive Segmentation and Recognition Templates for Image Parsing. PAMI. Under review Oct. 2009. [pdf] |
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Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan Yuille. Unsupervised
Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and
Competitive Exclusion. ECCV 2008. [pdf] [Dictionary] Long Zhu, Alan L. Yuille. A Hierarchical Compositional System for Rapid Object Detection. NIPS 2005 [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, Chenxi Lin, Alan Yuille. Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation. IJCV 2010. [pdf] |
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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] Long Zhu, Yuanhao Chen, Alan Yuille. Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing. TPAMI 2010. [pdf] Data: [horse ground truth] [horse images] [training/validation/testing split] [testing results] [cow ground truth] [cow images] |
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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] | |
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, Alan Yuille, Hongjiang Zhang .Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition using Knowledge Propagation. TPAMI Oct. 2009. [pdf] |
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Long Zhu, Yuanhao Chen, Alan Yuille. Unsupervised Learning of a
Probabilistic Grammar for Object Detection and Parsing. NIPS
2006. [pdf] Long Zhu, Yuanhao Chen, Alan Yuille. Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. TPAMI Jan. 2009. [pdf] |
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Rong Xiao, Long Zhu, HongJiang Zhang. Boosting Chain Learning for Object Detection. ICCV 2003 [dataset]
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