Publications

Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, Li Cheng (2024). MoMask: Generative Masked Modeling of 3D Human Motions. Computer Vision and Pattern Recognition (CVPR).

Code Project

Chuan Guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng (2024). Generative Human Motion Stylization in Latent Space. International Conference on Learning Representations (ICLR).

Jingjing Li, Wei Ji, Size Wang, Wenbo Li, Li Cheng (2023). DVSOD: RGB-D Video Salient Object Detection. Neural Information Processing Systems (NeurIPS).

Dataset Project

Wei Ji, Jingjing Li, Cheng Bian, Zhicheng Zhang, Li Cheng (2023). SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images. ACM International Conference on Multimedia.

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Wei Ji, Jingjing Li, Qi Bi, Tingwei Liu, Wenbo Li, Li Cheng (2023). Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications. Workshop on Vision-based InduStrial InspectiON at CVPR 2023 (Best Paper), 1-11.

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Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, Miroslav Radojević, Ting Zhao, Li Cheng, Lei Qu, Siqi Liu, Kristofer E Bouchard, Lin Gu, Weidong Cai, Shuiwang Ji, Badrinath Roysam, Ching-Wei Wang, Hongchuan Yu, Amos Sironi, Daniel Maxim Iascone, Jie Zhou, Erhan Bas, Eduardo Conde-Sousa, Paulo Aguiar, Xiang Li, Yujie Li, Sumit Nanda, Yuan Wang, Leila Muresan, Pascal Fua, Bing Ye, Hai-yan He, Jochen F Staiger, Manuel Peter, Daniel N Cox, Michel Simonneau, Marcel Oberlaender, Gregory Jefferis, Kei Ito, Paloma Gonzalez-Bellido, Jinhyun Kim, Edwin Rubel, Hollis T Cline, Hongkui Zeng, Aljoscha Nern, Ann-Shyn Chiang, Jianhua Yao, Jane Roskams, Rick Livesey, Janine Stevens, Tianming Liu, Chinh Dang, Yike Guo, Ning Zhong, Georgia Tourassi, Sean Hill, Michael Hawrylycz, Christof Koch, Erik Meijering, Giorgio A Ascoli, Hanchuan Peng (2023). BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology. Nature Methods, 1-12.

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Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao, Alan Yuille, Li Cheng (2023). Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR).

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Shihao Zou, Yuanlu Xu, Chao Li, Lingni Ma, Li Cheng, Minh Vo (2023). Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet. IEEE Transactions on Circuits and Systems for Video Technology(TCSVT).

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Jingjing Li, Wei Ji, Miao Zhang, Yongri Piao, Huchuan Lu, Li Cheng (2023). Delving into Calibrated Depth for Accurate RGB-D Salient Object Detection. Interactional Journal of Computer Vision (IJCV).

Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng (2022). Resource-Efficient Medical Image Analysis. MICCAI Workshop on Resource-Efficient Medical Image Analysis(REMIA).

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Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng (2022). TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts.. European Conference on Computer Vision (ECCV).

PDF Project

Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbig Ni, Minglun Gong, Li Cheng (2022). Object Wake-up: 3D Object Rigging from a Single Image.. European Conference on Computer Vision (ECCV).

PDF Project

Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Li Cheng (2022). Human Pose and Shape Estimation from Single Polarization Images. IEEE Transactions on Multimedia (TMM).

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Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng (2022). Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. International Conference on Learning Representations(ICLR).

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Wei Ji, Ge Yan, Jingjing Li, Yongri Piao, Miao Zhang, Li Cheng, Huchuan Lu (2022). DMRA: Depth-induced Multi-scale Recurrent Attention Network for RGB-D Saliency Detection. IEEE Transactions on Image Processing(TIP).

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Chuan Guo, Xinxin Zuo, Sen Wang, Xinshuang Liu, Shihao Zou, Minglun Gong, Li Cheng (2022). Action2video: Generating Videos of Human 3D Actions. International Journal of Computer Vision (IJCV).

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Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shouling Ji, Shijian Lu, Li Cheng (2022). Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

PDF Project

Jingjing Li, Wei Ji, Qi Bi, Cheng Yan, Miao Zhang, Yongri Piao, Huchuan Lu, Li Cheng (2021). Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection. International Conference on Neural Information Processing Systems (NeurIPS).

PDF Project

Ji Yang, Youdong Ma, Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng (2021). 3D Pose Estimation and Future Motion Prediction from 2D Images. Pattern Recognition (PR).

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Mahdiar Nekoui, Li Cheng (2021). Enhancing Human Motion Assessment by Self-supervised Representation Learning. British Machine Vision Conference(BMVC).

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Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei (2021). CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search. British Machine Vision Conference (BMVC).

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Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng (2021). Joint Visual and Audio Learning for Video Highlight Detection. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

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Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng (2021). EventHPE: Event-based 3D Human Pose and Shape Estimation. Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV).

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Nguyen Tran Nhat Hoang, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Jason Truong, Li Cheng (2021). Automated Generation of Accurate and Fluent Medical X-ray Reports. EMNLP.

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Shuang Wu, Zhenguang Liu, Shijian Lu, Li Cheng (2021). Dual Learning Music Composition and Dance Choreography. Proceedings of the 29th ACM International Conference on Multimedia.

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Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefneg Zhang (2021). Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR).

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Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng (2021). Calibrated RGB-D Salient Object Detection. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR).

Dong Wang, Xiaoqian Qin, Fengyi Song, Li Cheng (2020). Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

PDF DOI

Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng (2020). Action2Motion: Conditioned Generation of 3D Human Motions. Proceedings of the 28th ACM International Conference on Multimedia (ACM).

PDF Code Dataset Project Video

Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng (2020). 3D Human Shape Reconstruction from a Polarization Image. Proceedings of the European Conference on Computer Vision(ECCV).

PDF Dataset Project Video

Mahdiar Nekoui, Fidel Omar Tito Cruz, Li Cheng (2020). FALCONS: FAst Learner-grader for CONtorted poses in Sports. International Workshop on Computer Vision in Sports (CVsports) at CVPR 2020.

PDF Dataset Slides

Xinxin Zuo, Sen Wang, Jiangbin Zheng, Weiwei Yu, Minglun Gong, Ruigang Yang, Li Cheng (2020). SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images. IEEE Transactions on Multimedia(TMM).

PDF Video DOI

D. Teng, X. Zhang, Li Cheng, Delin Chu (2020). Least Squares Approximation via Sparse Subsampled Randomized Hadamard Transform. IEEE Trans Big Data.

He Zhao, Huiqi Li, Li Cheng (2020). Improving retinal vessel segmentation with joint local loss by matting. Pattern Recognition.

P. Porwal, S. Pachade, M. Kokare, et al. (2020). IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. Medical Image Analysis (MIA).

A. Banerjeea, S. Wu, Li Cheng, S. Aw (2020). Fully automated leg movement tracking in freely moving insects using Feature Learning Leg Segmentation and Tracking (FLLIT). Journal of Visualized Experiments (JoVE).

Shuang Wu, Zhenguang Liu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng (2019). Towards Natural and Accurate Future Motion Prediction of Humans and Animals. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR).

PDF Code Project Video

Xiaowei Zhang, Xudong Shi, Yu Sun, Li Cheng (2019). Multivariate Regression with Gross Errors on Manifold-valued Data. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI).

S. Wu, K. Tan, L. Govindarajan, J. Stewart, H. Zhu, L. Gu, M. Katarya, B. Wong, E. Tan, D. Li, A. Chang, C. Libedinsky, L. Cheng, S. Aw (2019). Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures. PLoS Computational Biology.

J. De, X. Zhang, F. Lin, L. Cheng (2018). Transduction on Directed Graphs via Absorbing Random Walks. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI).

X. Zhang, L. Cheng, B. Li, Hai-Miao Hu (2018). Too Far to See? Not Really! Pedestrian Detection with Scale-aware Localization Policy. IEEE Trans. Image Processing (TIP).

He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Li Cheng (2018). Synthesizing Retinal and Neuronal Images with Generative Adversarial Nets. Medical Image Analysis (MedIA).

He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng (2018). Supervised Segmentation of Un-annotated Retinal Fundus Images by Synthesis. IEEE Trans. Medical Imaging (TMI).

Qi Liu, Yue Zhang, Ye Yuan, Zhenguang Liu, Li Cheng, Roger Zimmermann (2018). Multi-modal Multi-task Learning for Automatic Dietary Assessment. National Conference on Artificial Intelligence (AAAI).

G. Lin, X. Zhang, H. Zhao, H. Li, L. Cheng (2017). Segment 2D and 3D Filaments by Learning Structured and Contextual Features. IEEE Trans. Medical Imaging (TMI).

H. Tie, B. Chen, X. Sun, L. Cheng, L. Lu (2017). Quantitative localization of a Golgi protein by imaging its fluorescence center of mass. Journal of Visualized Experiments (JoVE).

A. Cliffe, D. Doupe, H. Sung, L. Hwee, L. Cheng, K. Ong, W. Yu (2017). Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration. Nature Communications.

Ch. Xu, L. Zhang, L. Cheng, R. Koch (2017). Pose Estimation from Line Correspondences: A Complete Analysis and A Series of Solutions. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI).

Zhenguang Liu, L. Cheng, Anan Liu, Luming Zhang, Xiangnan He, Roger Zimmermann (2017). Multiview and Multimodal Pervasive Indoor Localization. ACM Multimedia.

Ch. Xu, L. Govindarajan, Y. Zhang, L. Cheng (2017). Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups. International Journal of Computer Vision (IJCV).

C. Xu, L. Govindarajan, L. Cheng (2017). Hand Action Detection from Ego-centric Depth Sequences. Pattern Recognition.

Z. Liu, L. Zhang, Q. Liu, Y. Yin, L. Cheng, R. Zimmermann (2017). Fusion of Magnetic and Vision sensors for indoor localization: Infrastructure-free and More Effective. IEEE Trans. Multimedia (TMM).

Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum (2016). Recognizing Complex Activities by a Probabilistic Interval-based Model. National Conference on Artificial Intelligence (AAAI).

K. Ong, J. De, L. CHENG, S. AHMED, W. YU (2016). NeuronCyto II: An Automatic and Quantitative Solution for Crossover Neural Cells in High Throughput Screening. Cytometry Part A.

X. Zhang, L. Cheng, D. Chu, L. Liao, M. Ng, R. Tan (2016). Incremental Regularized Least Squares for Dimensionality Reduction of Large-Scale Data. SIAM Journal on Scientific Computing (SISC).

C. Xu, A. Nanjappa, X. Zhang, L. Cheng (2016). Estimate Hand Poses Efficiently from Single Depth Images. International Journal of Computer Vision (IJCV).

Y. Zhang, L. Cheng, J. Wu, J. Cai, Mi. Do, J. Lu (2016). Action Recognition in Still Images with Minimum Annotation Efforts. IEEE Trans. Image Processing (TIP).

H. Tie, D. Mahajan, B. Chen, L. Cheng, A. VanDongen, L. Lu (2016). A novel imaging method for quantitative Golgi localization reveals differential intra-Golgi trafficking of secretory cargos. Molecular Biology of the Cell.

J. De, L. Cheng, X. Zhang, F. Lin, H. Li, K. Ong, W. Yu, Y. Yu, S. Ahmed (2016). A Graph-theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images. IEEE Trans. Medical Imaging (TMI).

Xiaowei Zhang, Li Cheng, Tingshao Zhu (2015). Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction. Journal of Machine Learning Research (Workshop & Conf. Proceedings)/ACML.

Lin Gu, Li Cheng (2015). Learning to Boost Filamentary Structure Segmentation. International Conference on Computer Vision (ICCV).

M. Gong, Y. Qian, L. Cheng (2015). Integrated Foreground Segmentation and Boundary Matting for Live Videos. IEEE Trans. Image Processing (TIP).

Ashwin Nanjappa, Chi Xu, Li Cheng (2015). GHand: A GPU algorithm for realtime hand pose estimation using depth camera. Eurographics.

C. Yap, E. Kalaw, M. Singh, K. Chong, D. Giron, C. Huang, L. Cheng, Y. Law, H. Lee (2015). Automated Image Based Prominent Nucleoli Detection. Journal of Pathology Informatics.

Yiming Qian, Minglun Gong, Li Cheng (2015). An Efficient Self-Tuning Multiclass Classification Approach. LNCS.

Jaydeep De, Huiqi Li, Li Cheng (2014). Tracing retinal vessel trees by transductive inference. BMC Bioinformatics.

Li Cheng, Jaydeep De, Xiaowei Zhang, Feng Lin, Huiqi Li (2014). Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs. Medical Image Computing and Computer Assisted Intervention (MICCAI).

Li Cheng, Sinno Jialin Pan (2014). Semi-supervised Domain Adaptation on Manifolds. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

T. Thi, L. Wang, J. Zhang, S. Maurer-Stroh, L. Cheng (2014). Recognizing Flu-like Symptoms from Videos. BMC Bioinformatics.

K. Yong, T. Gong, M. Nongpiur, A. How, H. Lee, L. Cheng, S. Perera, T. Aung (2014). Myopia in Asian Subjects with Primary Angle Closure: Implications for Glaucoma Trends in East Asia. Ophthalmology.

Jia Zhang, Huiqi Li, Qing Nie, Li Cheng (2014). A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection. Computerized Medical Imaging and Graphics.

Meiguang Jin, Lakshmi Govindarajan, L. Cheng (2014). A Random-Forest Random Field Approach for Cellular Image Segmentation. International Symposium on Biomedical Imaging (ISBI).

M. Nongpiur, T. Gong, H. Lee, S. Perera, L. Cheng, L. Foo, M. He, D. Friedman, T. Aung (2013). Subgrouping of Primary Angle-Closure Suspects Based on Anterior Segment Optical Coherence Tomography Parameters. Ophthalmology.

Li Cheng (2013). Riemannian Similarity Learning. International Conference on Machine Learning (ICML).

Tianxia Gong, Li Cheng Nengli Lim, Hwee Kuan Lee, Bolan Su, Shimiao Li, Chew Lim Tan, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee (2013). Finding Distinctive Shape Features for Hematoma Classification in Brain CT Images. International Conference on Tools with Artificial Intelligence (ICTAI).

Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurman (2013). Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields. Computational Intelligence.

Chi Xu, Li Cheng (2013). Efficient Hand Pose Estimation from a Single Depth Image. International Conference on Computer Vision (ICCV).

Matti Pietikainen, Matthew Turk, Liang Wang, Guoyin Zhao, Li Cheng (2013). Editorial of the Special issue: Machine Learning in Motion Analysis: New Advances. Image and Vision Cmputing (IVC).

Jaydeep De, Tengfei Ma, Huiqi Li, M. Dash, Li Cheng (2013). Automated Tracing of Retinal Blood Vessels Using Graphical Models. Scandinavian Conference on Image Analysis.

C. Guzman, T. Gong, M. Nongpiur, S. Perera, A. How, H. Lee, L. Cheng, M. He, M. Baskaran, T. Aung (2013). Anterior segment optical coherence tomography parameters in subtypes of primary angle closure. Investigative Ophthalmology & Visual Science.

Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh (2012). Structured learning of local features for human action classification and localization. Image and Vision Computing (IVC).

Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh (2012). Integrating Local Action Elements for Action Analysis. Computer Vision and Image Understanding (CVIU).

Li Cheng, Ning Ye, Weimiao Yu, Andre Cheah (2012). A Bag-of-Words Model for Cellular Image Segmentation. Advances in Bio-Imaging: From Physics to Signal Understanding Issues.

Li Cheng, Minglun Gong, Dale Schuurmans, Terry Caelli (2011). Real-time Discriminative Background Subtraction. IEEE Trans. Image Processing (TIP).

Minglun Gong, Li Cheng (2011). Incorporating Estimated Motion in Real-time Background Subtraction. IEEE International Conference on Image Processing (ICIP).

Minglun Gong, Li Cheng (2011). Foreground Segmentation of Live Videos using Locally Competing 1SVMs. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Li Wang, Li Cheng, Li Wang (2011). Elastic Sequence Correlation for Human Action Analysis. IEEE Trans. Image Processing (TIP).

Qinfeng Shi, Li Wang, Li Cheng, Alex Smola (2011). Discriminative Human Action Segmentation and Recognition using SMMs. International Journal of Computer Vision (IJCV).

Li Cheng, Ning Ye, Weimiao Yu, Andre Cheah (2011). Discriminative Cellular Segmentation for Microscopic Images. Medical Image Computing and Computer Assisted Intervention (MICCAI).

Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang (2010). Implicit Motion-Shape Model: A generic approach for action matching. International Conference on Image Processing.

Li Wang, Li Cheng, Tuan Hue Thi, Jian Zhang (2010). Human Action Recognition from Boosted Pose Estimation. International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang, Shinichi Satoh (2010). Human Action Recognition and Localization in Video using Structured Learning of Local Space-Time Features. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Ke Jia, Li Cheng, Nianjun Liu, Li Wang (2010). Efficient Learning to Label Images. International Conference on Pattern Recognition.

Tiberio Caetano, Julian McAuley, Li Cheng, Quoc Le, Alex Smola (2009). Learning Graph Matching. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI).

Nathan Brewer, Nianjun Liu, Li Cheng, Lei Wang (2009). User-Driven Lossy Compression for Images and Video. Image and Vision Computing New Zealand (IVCNZ).

Jun Zhou, Li Cheng, Walter Bischof (2009). Spatial-Temporal Modeling of Interactive Image Interpretation. Spatial Vision.

Li Cheng, Minglun Gong (2009). Realtime Background Subtraction from Dynamic Scenes. International Conference on Computer Vision (ICCV).

Liang Wang, Li Cheng, Guoying Zhao (2009). Machine Learning for Human Motion Analysis: Theory and Practice. IGI Global.

Baochun Bai, Li Cheng, Cheng Lei, Pierre Boulanger, Janelle Harms (2009). Learning-based multiview video coding. Proc. of the 27th Picture Coding Symposium (PCS).

Yuxi Li, Li Cheng, Dale Schuurmans (2009). Inference of the Structural Credit Risk Model using MLE. IEEE Symposium on Computational Intelligence for Financial Engineering.

Tuan Hue Thi, Sijun Lu, Jian Zhang, Li Cheng, Li Wang (2009). Human Body Articulation for Action Recognition in Video Sequences. IEEE Advanced Video and Signal Based Surveillance (AVSS).

Jun Zhou, Li Cheng, Walter Bischof (2008). Prediction and Change Detection In Sequential Data for Interactive Applications. National Conference on Artificial Intelligence (AAAI).

Qinfeng Shi, Li Wang, Li Cheng, Alex Smola (2008). Discriminative Human Action Segmentation and Recognition using. Semi-Markov Model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang (2008). Consistent image analogies using semi-supervised learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Shaojun Wang, Shaomin Wang, Li Cheng, Russ Greiner, Dale Schuurmans (2007). Stochastic Analysis of Lexical and Semantic for Enhanced Structural Language Model. International Colloquium on Grammatical Inference.

Jun Zhou, Li Cheng, Walter Bischof (2007). Online Learning with Novelty Detection in Human-guided Road Tracking. IEEE Transactions on Geoscience and Remote Sensing.

Li Cheng, S. V. N. Vishwanathan (2007). Learning to compress images and videos. Proceedings of the 24th international conference on Machine learning (ICML).

Tiberio Caetano, Li Cheng, Quoc Le, Alex Smola (2007). Learning Graph Matching. IEEE International Conference on Computer Vision (ICCV).

Jun Zhou, Li Cheng, Terry Caelli, Walter Bischof (2007). Influence of Human Inputs on Semi-automatic Image Interpretation. International Conference on Human-Computer Interaction (HCII).

Li Cheng, Terry Caelli (2007). Bayesian stereo matching. Computer Vision and Image Understanding (CVIU).

Li Cheng, Terry Caelli, Arturo Sanchez-Azofeifa (2006). Component Optimization for Image Understanding: a Bayesian Approach. IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI).

Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, S. V. N. Vishwanathan (2006). An Online Discriminative Approach to Background Subtraction. IEEE international conference on advanced video and signal based surveillance.

Jun Zhou, Li Cheng, Walter Bischof (2006). A Novel Learning Approach for Semi-automatic Road Tracking. International Workshop on Pattern Recognition in Remote Sensing (PRRS).

Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang (2005). Variational Bayesian image modelling. Proceedings of the 22nd international conference on Machine learning (ICML).

Shaojun Wang, Shaomin Wang, Russ Greiner, Dale Schuurmans, Li Cheng (2005). Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. Proceedings of the 22nd international conference on Machine learning (ICML).

Terry Caelli, Li Cheng, Q Fang (2005). Bayesian Image Understanding: From Images to Virtual Forests. International Journal of Robotics and Automation.

Li Cheng, Terry Caelli (2004). Forestry Scene Geometry Estimation via Statistical Learning. CVPR Workshop on Learning in Computer Vision and Pattern Recognition (LCVPR).

Li Cheng, Terry Caelli (2004). Bayesian Stereo Matching. CVPR Workshop on Generative Model Based Vision (GMBV).

Li Cheng, Terry Caelli (2003). Unsupervised Image Segmentation: A Bayesian Approach. International Conference on Vision Interface (VI).

Li Cheng, Terry Caelli (2003). Doubly-MRF Stereo Matching. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Terry Caelli, Li Cheng, Q Fang (2003). A Bayesian Approach to Image Understanding: From Images to Virtual Forests. International Conference on Vision Interface (VI).

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