Short Bio


Feng Li is an Adjunct Member Research Staff in the Imaging group of Mitsubishi Electric Research Laboratories (MERL). He received his Ph.D. in Fall 2011 from University of Delaware, and before that he worked as a technical marketing engineer at Intel China. His research interests are image/video enhancement (denoising, deblurring, superresolution), multi-camera system design and applications, image/motion segmentation, and fluid surface reconstruction. He is currently working on tumor/lung motion modeling for proton radiation systems.


Publications


Journal Papers

• Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li, Jie Yang, Jingyi Yu, Yasuyuki Matsushita, and Michael S. Brown, Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Feb. 2013.

• Zhan Yu, Xuan Yu, Christopher Thorpe, Scott Grauer-Gray, Feng Li, and Jingyi Yu, Racking Focus and Tracking Focus on Live Video Streams: A Stereo Solution, The Visual Computer, Feb. 2013.

• Christopher Thorpe, Feng Li, Zijia Li, Zhan Yu, David Saunders, and Jingyi Yu. A Co-Prime Blur Scheme for Data Security in Video Surveillance, arXiv:1203.4874v1.

• Feng Li, Jian Sun, Jue Wang, and Jingyi Yu. Dual Focus Stereo Imaging, SPIE Electronic Imaging, Vol. 19, No. 4, 2010. (project,video)

• Chunhua Du, Jie Yang, Qiang Wu, and Feng Li. Integrating Affinity Propagation Clustering Method with Linear Discriminant Analysis for Face Recognition. Optical Engineering 46(11), 2007.

• Xinliang Ge, Jie Yang, Zhonglong Zheng, and Feng Li. Multi-view Based Face Chin Contour Extraction. Engineering Applications of Artificial Intelligence, 19(5), 2006.

• Feng Li, Lixiu Yao, Jie Yang, and Xinliang Ge, Face Detection in Color Images with Complex Environments. Journal of Shanghai Jiao Tong University, 40(5), 2006. (Chinese).


Conference Papers

• Xiaogang Chen, Feng Li, Jie Yang, and Jingyi Yu, An Theoretical Analysis of Camera Response Functions in Image Deblurring, ECCV 2012.

• Jinwei Ye, Yu Ji, Feng Li, and Jingyi Yu, Angular Domain Reconstruction of Dynamic 3D Fluid Surfaces, CVPR 2012. (project,video1,video2)

• Feng Li, Zijia Li, David Saunders, and Jingyi Yu, A Theory of Coprime Blurred Pairs, ICCV 2011. (video,code)

• Yuanyuan Ding, Feng Li, Yu Ji, and Jingyi Yu, Dynamic Fluid Surface Acquisition Using a Camera Array, ICCV 2011.(video1,video2)

• Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, and Erkang Cheng, Blurred Target Tracking by Blur-driven Tracker, ICCV 2011.

• Yi Wu, Jing Hu, Feng Li, Erkang Cheng, Jingyi Yu, and Haibin Ling, Kernel-based Motion-blurred Target Tracking, International Symposium on Visual Computing (ISVC) 2011.

• Zhan Yu, Christopher Thorpe, Xuan Yu, Scott Grauer-Gray, Feng Li, and Jingyi Yu. Dynamic Depth-of-Field on Live Video Streams: A Stereo Solution, Computer Graphics International (CGI) 2011. (video)

• Feng Li, Liwei Xu, Philippe Guyenne, and Jingyi Yu. Recovering Fluid-type Motions Using Navier-Stokes Potential Flow, CVPR 2010.

• Feng Li, Jingyi Yu, and Jinxiang Chai. A Hybrid Camera for Motion Deblurring and Depth Map Super-Resolution, CVPR 2008.(project)

• Xuan Yu, Feng Li, and Jingyi Yu. Image-space Caustics and Curvatures, Pacific Graphics 2007. (video)


Patents

• Fatih Porikli and Feng Li, A Biomechanical Model Based 4DCT Simulator, US Patent Application Filed.

• Fatih Porikli and Feng Li, 3D Object Tracking in Multiple 2D Sequences, US Patent Application Filed.

• Izzat Izzat and Feng Li, Stereo-Image Quality and Disparity/Depth Indications, US Patent Application 20120249750.

• Lixiu Yao, Lei Tian, and Feng Li, Face Detection in Color Images with Complex Environments, Chinese Patent 200610117048.6.


Thesis

• Feng Li, A Hybrid Camera System for Low-Light Imaging, University of Delaware, 2011.