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2009

  • 1. Learning and Recognizing Deformable Template by Active Basis,
  • --- Ying Nian Wu, Zhangzhang Si, Haifeng Gong, and Song-Chun Zhu,
  • --- International Journal of Computer Vision, (to appear), 2009.
  • 2. A Stochastic Graph Grammar for Compositional Object Representation and Recognition,
  • --- Liang Lin, Tianfu Wu, Jake Porway, and Zijian Xu,
    --- Pattern Recognition, (to appear), 2009.
  • 3. Sketch Object Classification with Generative Template Synthesis,
  • --- Shaowu Peng, Liang Lin, and Nong Sang,
    --- Pattern Recognition, (to appear), 2009.
  • 4. Semantic Event Representation and Recognition Using Syntactic Attribute Graph Grammar,
  • --- Liang Lin, Haifeng Gong, Li Li, and Liang Wang,
    --- Pattern Recognition Letters, 30(2): 180-186, 2009.
  • 5. Bottom-up/Top-down Image Parsing with Attribute Graph Grammar,
  • --- Feng Han and Song-Chun Zhu,
  • --- IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.31, no.1, pp 59-73, Jan. 2009.
  • 6. Active Basis for Deformable Object Modeling, Learning and Detection,
  • --- Ying Nian Wu, Zhangzhang Si, Haifeng Gong, and Song-Chun Zhu,
  • --- Int'l Journal of Computer Vision (accepted).
  • 7. A Compositional and Dynamic Model for Face Aging,
  • --- Jinli Suo, Song-Chun Zhu, Shiguang Shan, and Xilin Chen,
  • --- IEEE Trans. on Pattern Analysis and Machine Intelligence (accepted).
  • 8. Layered Graph Matching by Composite Cluster Sampling,
  • --- Liang Lin, Xiaobai Liu and Song-Chun Zhu,
  • --- IEEE Trans. on Pattern Analysis and Machine Intelligence (under review).
  • 9. Hierarchical and Contextual Model for Aerial Image Understanding,
  • --- Jake Porway, Kristy Wang, and Song-Chun Zhu,
  • --- Int'l Journal of Computer Vision (under review).
  • 10.Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions,
  • --- Liang Lin and Song-Chun Zhu,
  • --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June, 2009.
  • 11. Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning,
  • --- Yang Cong, Haifeng Gong, and Song-Chun Zhu,
  • --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June, 2009.
  • 12. Learning Mixed Templates for Object Recognition,
  • --- Zhangzhang Si, Ying Nian Wu, and Song-Chun Zhu,
  • --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June, 2009.
  • 13. Trajectory Parsing by Cluster Sampling in Spatio-temporal Graph,
  • --- Xiaobai Liu, Liang Lin,and Song-Chun Zhu,
  • --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June, 2009


2008

  • 1. An Integrated Background Model for Video Surveillance Based on Primal Sketch and 3D Scene Geometry,
  • --- Wenze Hu, Haifeng Gong, Song-Chun Zhu, and Yongtian Wang,
  • --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June, 2008.
  • 2. A Hierarchical and Contextual Model for Aerial Image Understanding,
  • --- Jake Porway, Kristy Wang, and Song-Chun Zhu,
    --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June, 2008.
  • 3. Design Sparse Features for Age Estimation using Hierarchical Face Model,
  • --- Jinli Suo, Tianfu Wu, Song-Chun Zhu, Shiguang Shan, Xilin Chen and Wen Gao,
    --- IEEE conference on Automatic Face and Gesture Recognition, 2008.
  • 4. A Classified Method of Human Hair for Hair Sketching,
  • --- Feng Min, Kun Zeng, and Nong Sang,
    --- International Congress on Image and Signal Processing (CISP), 2008.
  • 5. Layered Shape Matching and Registration: Stochastic Sampling with Hierarchical Graph Representation,
  • --- Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, and Wenbing Tao,
    --- Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008.
  • 6. An Empirical Study of Facial Components Classification by Integrating Dimensionality Reduction and Clustering,
  • --- Feng Min, Liang Lin, Nong Sang,
    --- Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008.
  • 7. Object-of-Interest Extraction by Integrating Stochastic Inference with Learnt Active Shape Sketch,
  • --- Hongwei Li, Liang Lin, et al,
    --- Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008.
  • 8. Deformable Template Combining Alignable and Non-alignable Sketches,
  • --- Linjie Zhang, Haifeng Gong, Tianfu Wu, and Junyu Dong,
    --- ICRP, 2008.
  • 9. An Interactive Scene Annotation Tool for Video Surveillance,
  • --- Wenze Hu, Jianting Wen, Haifeng Gong, and Yongtian Wang,
  • --- ICRP, 2008.
  • 10. A Composite Template for Human Face Modeling and Sketch,
  • --- Zijian Xu, Hong Chen, Song-Chun Zhu, and Jiebo Luo,
  • --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30, no.6, 955-969, 2008.
  • 11. Perceptual Scale Space and Its Applications,
  • --- Yizou Wang and Song-Chun Zhu,
  • --- Int'l Journal of Computer Vision, vol. 80, no.1, pp143-165, Oct, 2008

2007

  • 1. Quest for a Stochastic Grammar of Images,
  • --- Song-Chun Zhu and David Mumford,
  • --- Foundations and Trends in Computer Graphics and Vision, 2007.
  • 2. From Information Scaling of Natural Images to Regimes of Statistical Models,
  • --- Ying Nian Wu, Song-Chun Zhu, and Cheng-en Guo,
    --- Quarterly of Applied Mathematics, 2007.
  • 3. Compositional Boosting for Computing Hierarchical Image Structures,
  • --- Tianfu Wu, Guisong Xia, and Song-Chun Zhu,
    --- IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2007.
  • 4. A multi-resolution dynamic model for face aging simulation,
  • --- Jinli Suo, Feng Min, Song-Chun Zhu, Shiguang Shan, and Xinlin Chen,
    --- IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2007.
  • 5. Layered graph match with graph editing,
  • --- Liang Lin, Song-Chun Zhu,and Yongtian Wang,
    --- IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2007.
  • 6. Cluster Sampling and Its Applications in Image Analysis,
  • --- Adrian Barbu and Song-Chun Zhu,
    --- Journal of Computational and Graphical Statistics, 2007.
  • 7. A Two-Level Generative Model for Cloth Representation and Shape-From-Shading,
  • --- Feng Han and Song-Chun Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.29, no.7, July 2007.
  • 8. Introduction to a large scale general purpose groundtruth dataset: methodology, annotation tool, and benchmarks,
  • --- Zhenyu Yao, Xiong Yang, and Song-Chun Zhu,
    --- 6th Int'l Conf on EMMCVPR, August 2007.
  • 9. Object category recognition using generative template boosting,
  • --- Shaowu Peng, Liang Lin, Jake Porway, Nong Sang, and Song-Chun Zhu,
  • --- 6th Int'l Conf on EMMCVPR, August 2007.
  • 10. An Automatic Portrait System Based on And-Or Graph Representation,
  • --- Feng Min, Jinli Suo, Song-Chun Zhu, and Nong Sang,
  • --- 6th Int'l Conf on EMMCVPR, August 2007.
  • 11. Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis,
  • --- Zheng Li, Haifeng Gong, Song-Chun Zhu, and Nong Sang,
    --- 6th Int'l Conf on EMMCVPR, August 2007.
  • 12. Bayesian Inference for Layer Representation with Mixed Markov Random Field,
  • --- Ruxin Gao, Tianfu Wu, Nong Sang, and Song-Chun Zhu,
    --- 6th Int'l Conf on EMMCVPR, August 2007.
  • 13. High ratio image compression technology based on image understanding and learning,
  • --- Zheng Li, Ruxin Gao, and Cheng-en Guo,
    --- International Conference on Multimedia & Expo (ICME), July 2007.
  • 14. A Boosting Discriminative Model for Moving Cast Shadow Detection,
  • --- Yufei Zha, Ying Chu, and Duyan Bi,
    --- 6th Int'l Conf on EMMCVPR, August 2007.
  • .
  • 15. Deformable Template As Active Basis,
  • --- Ying Nian Wu, Zhangzhang Si, C. Fleming, and Song-Chun Zhu,
    --- Proc. Int'l Conf. on Computer Vision (ICCV), Rio. Brazil, Oct, 2007.
  • 16. An Empirical Study of Object Category Recognition:Sequential Testing with Generalized Samples,
  • --- Liang Lin, Saowu Peng, Jack Porway, Song-Chun Zhu, and Yongtian Wang,
    --- Proc. Int'l Conf. on Computer Vision (ICCV), Rio. Brazil, Oct, 2007.

2006

  • 1. Composite Templates for Cloth Modeling and Sketching,
  • --- Hong Chen and Song-Chun Zhu,
    --- Proc. IEEE Conf. on Pattern Recognition and Computer Vision, June, New York.
  • 2. Parsing Images into Regions, Curves, and Curve Groups,
  • --- Zhuowen Tu and Song-Chun Zhu,
    --- Int'l Journal of Computer Vision, 69(2), 223-249, August, 2006.
  • 3. First-hitting-time Analysis of Independence Metropolis Sampler,
  • --- Romeo Maciuca and Song-Chun Zhu,
    --- Journal of Theoretical Probability, 2006.
  • 4. A Generative Sketch Model for Human Hair Analysis and Synthesis,
  • --- Hong Chen and Song-Chun Zhu,
    --- IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.28, no.7, 1025-1040, July, 2006.

2005

  • 1. Incorporating Visual Knowledge Representation in Stereo Reconstruction,
  • --- Adrian Barbu and Song-Chun Zhu,
    --- Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct.
  • 2. Perceptual Scale Space and It Applications,
  • --- Yizhou Wang, Siavosh Bahrami, and Song-Chun Zhu,
    --- Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct.
  • 3. Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar,
  • --- Feng Han and Song-Chun Zhu,
    --- Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct.
  • 4. A generative model of human hair for hair sketching,
  • --- Hong Chen and Song-Chun Zhu,
    --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.
  • 5. A high resolution grammatical model for face representation and sketching,
  • --- Zijian Xu, Hong Chen, and Song-Chun Zhu,
    --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.
  • 6. Cloth representation by shape from shading with shading primitives,
  • --- Feng Han and Song-Chun Zhu,
    --- Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.