Leo Zhu

   Postdoctoral Associate in Bill Freeman's group

   32-D462, Stata Center

   leo zhu AT csail dot mit dot edu

   

 

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]

    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]

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]

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]

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]

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]

Rong Xiao, Long Zhu, HongJiang Zhang. Boosting Chain Learning for Object Detection. ICCV 2003  [dataset]