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]

Journal Papers:

Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille. Recursive Segmentation and Recognition Templates for Image Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). (under review) 2010. 

Long Zhu, Yuanhao Chen, Chenxi Lin, Alan Yuille. Max-Margin Learning of Hierarchical Configural Deformable Templates (HCDT) for Efficient Object Parsing and Pose Estimation. International Journal of Computer Vision (IJCV). 2010. 

Long Zhu, Yuanhao Chen, Alan Yuille. Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).2010.

Yuanhao Chen, Long Zhu, Alan Yuille, Hongjiang Zhang. Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classi¯cation, Segmentation and Recognition using Knowledge Propagation. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). Oct. 2009.

Long Zhu, Yuanhao Chen, Alan Yuille. Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). Jan. 2009.

Conference Papers:

Long Zhu, Yuanhao Chen, Antonio Torralba, William Freeman, Alan Yuille. Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection . IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 2010.

 Long Zhu, Yuanhao Chen, Alan Yuille, William Freeman. Latent Hierarchical Structural Learning for Object Detection. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 2010.

 Yuanhao Chen, Long Zhu, Alan Yuille. Active Mask Hierarchies for Object Detection. IEEE Proc. Of the European Conference on Computer Vision (ECCV). 2010.

 Long Zhu, Yuanhao Chen, William Freeman, Antonio Torralba. Nonparametric Bayesian Texture Learning and Synthesis. Advances in Neural Information Processing Systems (NIPS). 2009.

 Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille. Recursive Segmentation and Recognition Templates for 2D Parsing. Advances in Neural Information Processing Systems (NIPS). 2008.

 Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan Yuille. Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. Proc. Of the European Conference on Computer Vision (ECCV). 2008.

 Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan Yuille. Max Margin AND/OR Graph Learning for Parsing the Human Body. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR).2008.

 Long Zhu, Yuanhao Chen, Xingyao Ye, Alan Yuille. Structure-Perceptron Learning of a Hierarchical Log-Linear Model. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 2008.

 Yuanhao Chen, Long Zhu, Alan Yuille, Hongjiang Zhang. Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 2008.

 Yuanhao Chen, Long Zhu, Chenxi Lin, Alan Yuille, Hongjiang Zhang. Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing. Advances in Neural Information Processing Systems (NIPS). 2007.

 Long Zhu, Yuanhao Chen, Alan Yuille. Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing. Advances in Neural Information Processing Systems (NIPS). 2006.

 Long Zhu, Alan Yuille. A Hierarchical Compositional System for Rapid Object Detection. Advances in Neural Information Processing Systems (NIPS). 2005.

 Rong Xiao, Long Zhu, HongJiang Zhang. Boosting Chain Learning for Object Detection. International Conference on Computer Vision (ICCV). 2003.

 Stan Z. Li, Long Zhu, ZhenQiu Zhang, Andrew Blake, HongJiang Zhang, Harry Shum. Statistical Learning of Multi-view Face Detection. Proc. of the European Conference on Computer Vision (ECCV). 2002.