Li Cheng's Publications

• Sorted by Date • Classified by Publication Type • Classified by Author Last Name •

Sorted by Date

• 2012 • 2011 • 2010 • 2009 • 2008 • 2007 • 2006 • 2005 • 2004 • 2003 • 2002 •

2012

• Li Cheng, Ning Ye, Weimiao Yu, and Andre Cheah. A Bag-of-Words Model for Cellular Image Segmentation. In Advances in Bio-Imaging: From Physics to Signal Understanding Issues, pp. 209–222, Springer, 2012.
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2011

• L. Cheng, M. Gong, D. Schuurmans, and T. Caelli. Real-time Discriminative Background Subtraction. IEEE Trans. Image Processing (TIP), 20(5):1401–1414, 2011.
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• Li Cheng, Ning Ye, Weimiao Yu, and Andre Cheah. Discriminative Cellular Segmentation for Microscopic Images. In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011.
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• Minglun Gong and Li Cheng. Foreground Segmentation of Live Videos using Locally Competing 1SVMs. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
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• Minglun Gong and Li Cheng. Incorporating Estimated Motion in Real-time Background Subtraction. In IEEE International Conference on Image Processing (ICIP), 2011.
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• Qinfeng Shi, Li Wang, Li Cheng, and Alex Smola. Discriminative Human Action Segmentation and Recognition using SMMs. International Journal of Computer Vision (IJCV), 93(1):22–32, Jan 2011.
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• T. Thi, L. Cheng, J. Zhang, L. Wang, and S. Satoh. Integrating Local Action Elements for Action Analysis. Computer Vision and Image Understanding (CVIU), 2011. Accepted
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• T. Thi, L. Cheng, J. Zhang, L. Wang, and S. Satoh. Structured learning of local features for human action classification and localization. Image and Vision Computing (IVC), 2011. Accepted
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• Liang Wang, Li Cheng, G. Zhao, and Matti Pietikainen, editors. Machine learning for vision-based motion analysis, Springer, 2011. 372 pp.
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• Li Wang, Li Cheng, and Li Wang. Elastic Sequence Correlation for Human Action Analysis. IEEE Trans. Image Processing (TIP), 20(6):1725–1738, 2011.
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2010

• K. Jia, L. Cheng, N. Liu, and L. Wang. Efficient Learning to Label Images. In International Conference on Pattern Recognition, 2010.
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• T. Thi, L. Cheng, J. Zhang, and L. Wang. Weakly Supervised Action Recognition using Implicit Shape Models. In International Conference on Pattern Recognition, 2010.
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• T. Thi, L. Cheng, J. Zhang, and L. Wang. Implicit Motion-Shape Model: A generic approach for action matching. In International Conference on Image Processing, 2010.
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• T. Thi, L. Cheng, J. Zhang, L. Wang, and S. Satoh. Human Action Recognition and Localization in Video using Structured Learning of Local Space-Time Features. In IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2010.
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• Li Wang, Li Cheng, Tuan Hue Thi, and Jian Zhang. Human Action Recognition from Boosted Pose Estimation. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2010.
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2009

• Baochun Bai, Li Cheng, Cheng Lei, Pierre Boulanger, and Janelle Harms. Learning-based multiview video coding. In Proc. of the 27th Picture Coding Symposium (PCS), pp. 201–204, 2009.
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• Nathan Brewer, Nianjun Liu, Li Cheng, and Lei Wang. User-Driven Lossy Compression for Images and Video. In Image and Vision Computing New Zealand (IVCNZ), 2009.
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• Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le, and Alex Smola. Learning Graph Matching. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 31(6):1048–1058, Jun 2009.
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• Li Cheng and Minglun Gong. Realtime Background Subtraction from Dynamic Scenes. In International Conference on Computer Vision (ICCV), 2009.
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• Yuxi Li, Li Cheng, and Dale Schuurmans. Inference of the Structural Credit Risk Model using MLE. In IEEE Symposium on Computational Intelligence for Financial Engineering, 2009.
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• Tuan Hue Thi, Sijun Lu, Jian Zhang, Li Cheng, and Li Wang. Human Body Articulation for Action Recognition in Video Sequences. IEEE Advanced Video and Signal Based Surveillance (AVSS), 0:92–97, 2009.
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• Liang Wang, Li Cheng, and Guoying Zhao, editors. Machine Learning for Human Motion Analysis: Theory and Practice, IGI Global, 2009. 387 pp.
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• Jun Zhou, Li Cheng, and Walter Bischof. Spatial-Temporal Modeling of Interactive Image Interpretation. Spatial Vision, 20(5):455–472, 2009.
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2008

• Li Cheng, S.V.N. Vishwanathan, and Xinhua Zhang. Consistent image analogies using semi-supervised learning. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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• Qinfeng Shi, Li Wang, Li Cheng, and Alex Smola. Discriminative Human Action Segmentation and Recognition using. Semi-Markov Model. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  Code and Syn Data
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• Jun Zhou, Li Cheng, and Walter Bischof. Prediction and Change Detection In Sequential Data for Interactive Applications. In National Conference on Artificial Intelligence (AAAI), pp. 805–810, AAAI, 2008.
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2007

• Tiberio Caetano, Li Cheng, Quoc Le, and Alex Smola. Learning Graph Matching. In IEEE International Conference on Computer Vision (ICCV), 2007.
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• Li Cheng and Terry Caelli. Bayesian stereo matching. Computer Vision and Image Understanding (CVIU), 106(1):85–96, 2007.
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• Li Cheng and S.V.N. Vishwanathan. Learning to compress images and videos. In Proceedings of the 24th international conference on Machine learning (ICML), pp. 161–168, ACM, New York, NY, USA, 2007.
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• Li Cheng, S.V.N. Vishwanathan, Dale Schuurmans, Shaojun Wang, and Terry Caelli. implicit Online Learning with Kernels. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems (NIPS), pp. 249–256, MIT Press, Cambridge, MA, 2007.
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• Shaojun Wang, Shaomin Wang, Li Cheng, Russ Greiner, and Dale Schuurmans. Stochastic Analysis of Lexical and Semantic for Enhanced Structural Language Model. In International Colloquium on Grammatical Inference, 2007.
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• Jun Zhou, Li Cheng, and Walter Bischof. Online Learning with Novelty Detection in Human-guided Road Tracking. IEEE Transactions on Geoscience and Remote Sensing, 45(12):3967–3977, 2007.
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• Jun Zhou, Li Cheng, Terry Caelli, and Walter Bischof. Influence of Human Inputs on Semi-automatic Image Interpretation. In International Conference on Human-Computer Interaction (HCII), 2007.
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2006

• Li Cheng and Terry Caelli. Component Optimization for Image Understanding: a Bayesian Approach. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 28(5):684–693, 2006.
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• Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, and S.V.N. Vishwanathan. An Online Discriminative Approach to Background Subtraction. In IEEE international conference on advanced video and signal based surveillance, 2006.
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• Jun Zhou, Li Cheng, and Walter Bischof. A Novel Learning Approach for Semi-automatic Road Tracking. In International Workshop on Pattern Recognition in Remote Sensing (PRRS), 2006.
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2005

• Terry Caelli, Li Cheng, and Q Fang. Bayesian Image Understanding: From Images to Virtual Forests. International Journal of Robotics and Automation, 20(1):14–25, 2005.
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• Li Cheng, Feng Jiao, Dale Schuurmans, and Shaojun Wang. Variational Bayesian image modelling. In Proceedings of the 22nd international conference on Machine learning (ICML), pp. 129–136, ACM, New York, NY, USA, 2005.
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• Shaojun Wang, Shaomin Wang, Russ Greiner, Dale Schuurmans, and Li Cheng. Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. In Proceedings of the 22nd international conference on Machine learning (ICML), pp. 948–955, ACM, New York, NY, USA, 2005.
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2004

• Li Cheng and Terry Caelli. Forestry Scene Geometry Estimation via Statistical Learning. In CVPR Workshop on Learning in Computer Vision and Pattern Recognition (LCVPR), 2004.
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• Li Cheng and Terry Caelli. Bayesian Stereo Matching. In CVPR Workshop on Generative Model Based Vision (GMBV), 2004.
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2003

• Terry Caelli, Li Cheng, and Q Fang. A Bayesian Approach to Image Understanding: From Images to Virtual Forests. In International Conference on Vision Interface (VI), Halifax, Canada, 2003.
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• Li Cheng and Terry Caelli. Doubly-MRF Stereo Matching. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2003.
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• Li Cheng and Terry Caelli. Unsupervised Image Segmentation: A Bayesian Approach. In International Conference on Vision Interface (VI), Halifax, Canada, 2003.
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2002

• Li Cheng and Terry Caelli. A Trainable Hierarchical Hidden Markov Tree Model for color image Annotation. In International conference on Pattern Recognition (ICPR), 2002.
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