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 computer vision and statistical learning, with particular emphasis on learning models for visual patterns such as textures, objects and image scenes.  

Selected Projects:  

    Long Zhu, Yuanhao Chen, William Freeman, Antonio Torralba. Nonparametric Bayesian Texture Learning and Synthesis. NIPS 2009. [pdf]
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. Under review. [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 (HCDT) for Efficient Object Parsing and Pose Estimation. under review. [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. To appear in TPAMI 2009. [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]