Rui Huang is an alumnus of SEQAM. He completed his Ph.D. in 2008 from the Department of Computer Science, Rutgers University.  He received his B.Sc. degree at Peking University (1999), and M.E. degree at Chinese Academy of Sciences (2002). His research interests include graphical models, deformable models, and their applications in computer vision and pattern recognition.  He has been working on image- and video-based object segmentation by combining multiple cues under a graphical model framework, and some related problems such as shape modeling. He was also a member of the Center for Computational Biomedicine Imaging and Modeling (CBIM). He was an assistant professor at Huazhong University of Science and Technology, China and is currently a research staff member at NEC Laboratories China.

• R. Huang, N. Sang, V. Pavlovic and D. N. Metaxas. "A Belief Propagation algorithm for bias field estimation and image segmentation". ICIP. 2011. pp. 37-40. [More] 
• R. Huang, V. Pavlovic and D. N. Metaxas. "A new spatio-temporal MRF framework for video-based object segmentation". 2008. [More] 
• R. Huang, V. Pavlovic and D. N. Metaxas. "Embedded Profile Hidden Markov Models for Shape Analysis". IEEE Int'l Conf. Computer Vision. 2007. [More] 
• R. Huang, V. Pavlovic and D. N. Metaxas. "Shape analysis using curvature-based descriptors and profile hidden Markov models". IEEE Int'l Symposium on Biomedical Imaging (ISBI). 2007. pp. 1220-1223. [More] 
• R. Huang, V. Pavlovic and D. N. Metaxas. "A Graphical Model Framework for Image Segmentation". Springer. 2007. pp. 43-64. [More] 

• Image Segmentation
• Shape Modeling

• Graphical Models for Object Segmentation