Li Cheng's Publications

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Book

• 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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• 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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Journal

• Xiaowei Zhang, Li Cheng, Bo Li, and Hai-Miao Hu. Too Far to See? Not Really! Pedestrian Detection with Scale-aware Localization Policy. IEEE Trans. Image Processing (TIP), pp. 1–13, 2018.
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• Adam Cliffe, David P. Doupe, HsinHo Sung, Isaac Lim Kok Hwee, Li Cheng, Kok Haur Ong, and Weimiao Yu. Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration. Nature Communications, pp. 1–13, 2017.
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• Jaydeep De, Xiaowei Zhang, Feng Lin, and Li Cheng. Transduction on Directed Graphs via Absorbing Random Walks. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), pp. 1–14, 2017.
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• GU Lin, Xiaowei Zhang, He Zhao, Huiqi Li, and Li Cheng. Segment 2D and 3D Filaments by Learning Structured and Contextual Features. IEEE Trans. Medical Imaging (TMI), 36(2):569–606, 2017.
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• Zhenguang Liu, Luming Zhang, Qi Liu, Yifang Yin, Li Cheng, and Roger Zimmermann. Fusion of Magnetic and Vision sensors for indoor localization: Infrastructure-free and More Effective. IEEE Trans. Multimedia (TMM), 19(4):874–88, 2017.
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• Hieng Chiong Tie, Bing Chen, Xiuping Sun, Li Cheng, and Lei Lu. Quantitative localization of a Golgi protein by imaging its fluorescence center of mass. Journal of Visualized Experiments (JoVE), 2017.
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• Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang, and Li Cheng. Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups. International Journal of Computer Vision (IJCV), 123(3):454–78, 2017.
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• Chi Xu, Lilian Zhang, Li Cheng, and Reinhard Koch. Pose Estimation from Line Correspondences: A Complete Analysis and A Series of Solutions. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 39(6):1209–22, 2017.
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• Xiaowei Zhang, Xudong Shi, Yun Sun, and Li Cheng. Multivariate Regression with Gross Errors on Manifold-valued Data. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), pp. 1–14, 2017.
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• J. De, L. Cheng, X. Zhang, F. Lin, H. Li, K. Ong, W. Yu, Y. Yu, and S. Ahmed. A Graph-theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images. IEEE Trans. Medical Imaging (TMI), 35(1):257–72, 2016.
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• Kok Haur Ong, Jaydeep De, Li CHENG, Sohail AHMED, and Weimiao YU. NeuronCyto II: An Automatic and Quantitative Solution for Crossover Neural Cells in High Throughput Screening. Cytometry Part A, 89(8):747–54, 2016.
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• Hieng Chiong Tie, Divyanshu Mahajan, Bing Chen, Li Cheng, Antonius M. J. VanDongen, and Lei Lu. A novel imaging method for quantitative Golgi localization reveals differential intra-Golgi trafficking of secretory cargos. Molecular Biology of the Cell, 27(5):848–861, 2016.
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• Chi Xu, Ashwin Nanjappa, Xiaowei Zhang, and Li Cheng. Estimate Hand Poses Efficiently from Single Depth Images. International Journal of Computer Vision (IJCV), 116(1):21–45, 2016.
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• Xiaowei Zhang, Li Cheng, Delin Chu, Li-Zhi Liao, Michael Ng, and Roger C.E. Tan. Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data. SIAM Journal on Scientific Computing (SISC), 38(3):414–39, 2016.
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• Yu Zhang, Li Cheng, Jianxin Wu, Jianfei Cai, Minh N. Do, and Jiangbo Lu. Action Recognition in Still Images with Minimum Annotation Efforts. IEEE Trans. Image Processing (TIP), 25(11):5479–90, 2016.
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• M. Gong, Y. Qian, and L. Cheng. Integrated Foreground Segmentation and Boundary Matting for Live Videos. IEEE Trans. Image Processing (TIP), 24(4):1356–70, 2015.
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• C. Yap, E. Kalaw, M. Singh, K. Chong, D. Giron, C. Huang, L. Cheng, Y. Law, and H. Lee. Automated Image Based Prominent Nucleoli Detection. Journal of Pathology Informatics, 6(1):1–39, 2015.
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• Li Cheng and Sinno Jialin Pan. Semi-supervised Domain Adaptation on Manifolds. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 25(12):2240–49, 2014.
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• Jaydeep De, Huiqi Li, and Li Cheng. Tracing retinal vessel trees by transductive inference. BMC Bioinformatics, 15(20):1–20, 2014.
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• T. Thi, L. Wang, J. Zhang, S. Maurer-Stroh, and L. Cheng. Recognizing Flu-like Symptoms from Videos. BMC Bioinformatics, 15(300):1–10, 2014.
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• K. Yong, T. Gong, M. Nongpiur, A. How, H. Lee, L. Cheng, S. Perera, and T. Aung. Myopia in Asian Subjects with Primary Angle Closure: Implications for Glaucoma Trends in East Asia. Ophthalmology, 121(8):1566–71, 2014.
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• Jia Zhang, Huiqi Li, Qing Nie, and Li Cheng. A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection. Computerized Medical Imaging and Graphics, 38(6):517–25, 2014.
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• C. Guzman, T. Gong, M. Nongpiur, S. Perera, A. How, H. Lee, L. Cheng, M. He, M. Baskaran, and T. Aung. Anterior segment optical coherence tomography parameters in subtypes of primary angle closure. Investigative Ophthalmology & Visual Science, 54(8):5281–5286, 2013.
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• M. Nongpiur, T. Gong, H. Lee, S. Perera, L. Cheng, L. Foo, M. He, D. Friedman, and T. Aung. Subgrouping of Primary Angle-Closure Suspects Based on Anterior Segment Optical Coherence Tomography Parameters. Ophthalmology, 120(12):2525–2531, 2013.
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• Matti Pietikainen, Matthew Turk, Liang Wang, Guoyin Zhao, and Li Cheng. Editorial of the Special issue: Machine Learning in Motion Analysis: New Advances. Image and Vision Cmputing (IVC), 31(6-7), 2013.
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• Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, and Dale Schuurman. Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields. Computational Intelligence, 29(4):649–679, 2013.
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• Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, and Shinichi Satoh. Integrating Local Action Elements for Action Analysis. Computer Vision and Image Understanding (CVIU), 116(3):378–395, 2012.
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• Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, and Shinichi Satoh. Structured learning of local features for human action classification and localization. Image and Vision Computing (IVC), 30(1):1–14, 2012. Editor Choice Paper
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• Li Cheng, Minglun Gong, Dale Schuurmans, and Terry Caelli. Real-time Discriminative Background Subtraction. IEEE Trans. Image Processing (TIP), 20(5):1401–1414, 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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• 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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• Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le, and Alex Smola. Learning Graph Matching. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 31(6):1048–1058, Jun 2009.
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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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• Li Cheng and Terry Caelli. Bayesian stereo matching. Computer Vision and Image Understanding (CVIU), 106(1):85–96, 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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• Li Cheng and Terry Caelli. Component Optimization for Image Understanding: a Bayesian Approach. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 28(5):684–693, 2006.
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• 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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Conference

• Qi Liu, Yue Zhang, Ye Yuan, Zhenguang Liu, Li Cheng, and Roger Zimmermann. Multi-modal Multi-task Learning for Automatic Dietary Assessment. In National Conference on Artificial Intelligence (AAAI), 2018.
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• Zhenguang Liu, L. Cheng, Anan Liu, Luming Zhang, Xiangnan He, and Roger Zimmermann. Multiview and Multimodal Pervasive Indoor Localization. In ACM Multimedia, 2017.
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• Li Liu, Li Cheng, Ye Liu, Yongpo Jia, and David S. Rosenblum. Recognizing Complex Activities by a Probabilistic Interval-based Model. In National Conference on Artificial Intelligence (AAAI), 2016.
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• Lin Gu and Li Cheng. Learning to Boost Filamentary Structure Segmentation. In International Conference on Computer Vision (ICCV), 2015.
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• Ashwin Nanjappa, Chi Xu, and Li Cheng. GHand: A GPU algorithm for realtime hand pose estimation using depth camera. In Eurographics, 2015.
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• Yiming Qian, Minglun Gong, and Li Cheng. An Efficient Self-Tuning Multiclass Classification Approach. In LNCS, pp. 291–306, 9091, 2015. Canadian AI (AI)
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• Xiaowei Zhang, Li Cheng, and Tingshao Zhu. Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction. In Journal of Machine Learning Research (Workshop & Conf. Proceedings)/ACML, 2015.
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• Li Cheng, Jaydeep De, Xiaowei Zhang, Feng Lin, and Huiqi Li. Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs. In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.
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• Meiguang Jin, Lakshmi Govindarajan, and L. Cheng. A Random-Forest Random Field Approach for Cellular Image Segmentation. In International Symposium on Biomedical Imaging (ISBI), 2014.
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• Li Cheng. Riemannian Similarity Learning. In International Conference on Machine Learning (ICML), 2013. JMLR W&CP 28(3):540-548, 2013
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• Tianxia Gong, Li Cheng Nengli Lim, Hwee Kuan Lee, Bolan Su, Shimiao Li, Chew Lim Tan, Boon Chuan Pang, C. C. Tchoyoson Lim, and Cheng Kiang Lee. Finding Distinctive Shape Features for Hematoma Classification in Brain CT Images. In International Conference on Tools with Artificial Intelligence (ICTAI), 2013.
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• Chi Xu and Li Cheng. Efficient Hand Pose Estimation from a Single Depth Image. In International Conference on Computer Vision (ICCV), 2013.
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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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• Ke Jia, Li Cheng, Nianjun Liu, and Li Wang. Efficient Learning to Label Images. In International Conference on Pattern Recognition, 2010.
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• Tuan Hue Thi, Li Cheng, Jian Zhang, and Li Wang. Weakly Supervised Action Recognition using Implicit Shape Models. In International Conference on Pattern Recognition, 2010.
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• Tuan Hue Thi, Li Cheng, Jian Zhang, and Li Wang. Implicit Motion-Shape Model: A generic approach for action matching. In International Conference on Image Processing, 2010.
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• Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, and Shinichi 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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• 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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• Li Cheng and Minglun Gong. Realtime Background Subtraction from Dynamic Scenes. In International Conference on Computer Vision (ICCV), 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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• 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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• 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 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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• 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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• 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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• 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. A Trainable Hierarchical Hidden Markov Tree Model for color image Annotation. In International conference on Pattern Recognition (ICPR), 2002.
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Workshop or Symposium

• Jaydeep De, Tengfei Ma, Huiqi Li, M. Dash, and Li Cheng. Automated Tracing of Retinal Blood Vessels Using Graphical Models. In Scandinavian Conference on Image Analysis, 2013.
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• 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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• 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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• 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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• 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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• 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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• 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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• 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. Unsupervised Image Segmentation: A Bayesian Approach. In International Conference on Vision Interface (VI), Halifax, Canada, 2003.
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