Research Overview

My research interests mainly lie in the areas of computer vision and machine learning. I am interested in developing statistical models that can accurately describe the imaging process but still allow for efficient inference algorithm to solve problems of visual inference.

My current research focuses on optical flow estimation. Enabled by naturalistic sequences associated with ground truth flow fields, we have learned a complete probabilistic model of optical flow (ECCV 2008 paper). We have also implemented the most widely cited Horn & Schunck method using currently common practices in optical flow estimation and found it performs on par with some more sophisticated methods published in the last few years (Middlebury flow evaluation results).

 

Publications

Journal papers

Deqing Sun and Wai-Kuen Cham. "Postprocessing of Low Bit Rate Block DCT Coded Images based on a Fields of Experts Prior." IEEE Trans. Image Proc., 16(11), pp. 2743- 2751, Nov. 2007. [pdf, MB], [abstract]

Conference papers

Deqing Sun, Stefan Roth, J.P. Lewis, and Michael J. Black: Learning Optical Flow. In Proc. of the European Conference on Computer Vision (ECCV), Oct. 2008. To appear. [pdf, 1.27MB], [abstract] [talk slides]
Deqing Sun and Wai-Kuen Cham. “An Effective Postprocessing Method for Low Bit Rate Block DCT Coded Images.” IEEE Int. Conf. Acoustics, Speech, and Signal Proc. (ICASSP’07) pp. (I)705-708., 2007, Hawaii, USA, April 2007 [pdf, MB], [abstract].
Yifeng Jiang, Jun Xie, Deqing Sun, and Hung-Tat Tsui, “ Shape Registration by Simultaneously Optimizing Representation and Transformation”. Int. Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI’07), 2007.
Deqing Sun, Wai-Kuen Cham, and Junhao Xie. “A New Postprocessing Algorithm of Low Bit Rate JPEG Coded Images.” SPIE Int. Conf. on Visual Comm. and Image Proc. (VCIP’05) pages 1204 - 1214, Bei Jing, China, July 2005.

Thesis

Deqing Sun. “Postprocessing of Images Coded Using Block DCT at Low Bit Rates.” M.Phil. thesis, The Chinese University of Hong Kong, July 2007 (Supervised by Prof. Wai-Kuen Cham).

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