Feng Tang

Biography

Feng Tang is a researcher in the Multimedia Interaction and Understanding Lab (MIUL) of Hewlett-Packard Labs in Palo Alto, CA. He received the B.E. and M.E. degrees in Computer Science from State Key Lab. of CAD&CG at Zhejiang University, China, in 2001 and 2004, respectively. He obtained the Ph.D. degree in Computer Engineering from University of California, Santa Cruz in 2008.

Research interests

Computer vision, machine learning, interactive computer graphics

Awards

    * Best Paper Award, 17th International Multimedia Modeling Conference  2011
    * NSF Travel Grant 2009
    * Listed in Marquis Who's Who in America 2009
    * Chinese Government Award for Outstanding Self-financed Students Abroad 2007   
      o  This award is established to encourage research excellence and to recognize the achievementamong Chinese students abroad. It is granted across all fields of study and all countries in the world and was presented to only 72 Chinese students in the United States in 2007.
    * UC Santa Cruz Travel Grant 2007   
    * The 8th Chinese National "Challenge Cup" College Student Research Competition 2003  
      o  Outstanding Prize: One of the two outstanding prizes selected from over 50,000 computer science projects competing in the competition throughout Great China. This is the highest prize Zhejiang Province has achieved in recent 10 years, i.e. 2003 - 1991
    * Various scholarships in Zhejiang University 1997-2004

Publications

Selected journal papers:
    * Chunxia Xiao, Yongwei Nie and Feng Tang, "Efficient Edit Propagation Using Hierarchical Data Structure", IEEE Transactions on Visualization and Computer Graphics, 29 Sept. 2010
    * Feng Tang and Hai Tao, "Probabilistic Object Tracking with Dynamic Attributed Relational Feature Graph," IEEE Trans. Circuit and Systems for Video Technology (TCSVT), 2008
    * Feng Tang, Ryan Crabb and Hai Tao, "Representing Images Using Non-orthogonal Haar-like Bases," IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI) vol. 29, no. 12, pp.2120-2134, Dec. 2007
    * Feng Tang and Hai Tao, "Fast Linear Discriminative Analysis using Binary Bases," Pattern Recognition Letters, vol. 28, no. 16, pp. 2209-2218, Dec. 2007

Selected conference papers:
    * Peng Wu, Qiang Fu, and Feng Tang "Social Community Detection from Photo Collections Using Bayesian Overlapping Subspace Clustering", 17th International Multimedia Modeling Conference, MMM 2011, LNCS 6524, p. 57 ff. (Best paper award)
    * Ang Li, Feng Tang, Yanwen Guo and Hai Tao, "Discriminative Non-orthogonal Binary Subspace Tracking", ECCV 2010
    * Feng Tang, Suk Hwan Lim, Nelson L. Chang, "An Improved Local Feature Descriptor via Soft Binning",  ICIP 2010
    * Peng Wu, Feng Tang: Improving face clustering using social context. ACM Multimedia 2010: 907-910
    * Nelson Chang, Suk Hwan Lim, Feng Tang, "Decoding Positional and Color Information from a Coded Pattern",  ICIP 2010
    * Feng Tang, Suk-Hwan Lim, Nelson L. Chang and Hai Tao,"A Novel Feature Descriptor Invariant to Complex Brightness Changes," CVPR 2009, pp 2631-2638, Jun. 2009
    * Feng Tang and Yuli Gao, "Fast Near Duplicate Detection for Personal Image Collections", accepted to ACM Multimedia 2009
    * Feng Tang, Michael Harville, Hai Tao and Ian N. Robinson, "Fusing local appearance features with stereo depth for multi-object tracking", CVPR workshop on S3D (Search in 3D), 2008
    * Feng Tang, Shanne Brennan, Qi Zhao and Hai Tao, "Co-Tracking Using Semi-Supervised Support Vector Machines," Proc. of Int'l Conference on Computer Vision (ICCV), pp. 1-8, 2007
    * Feng Tang and Hai Tao, "Fast Multi-scale Template Matching Using Binary Features," Proc. of IEEE Workshop on Applications of Computer Vision (WACV),  pp. 36, Feb. 2007
    * Feng Tang and Hai Tao, "Non-orthogonal Binary Expansion of Garbor Filters with Application in Object Tracking," Proc. of IEEE Workshop on Motion and Video Computing (WMVC), pp. 24, Feb. 2007
    * Feng Tang and Hai Tao, "Binary Principal Component Analysis," Proceedings of British Machine Vision Conference (BMVC), vol. 1, pp. 377-386, 2006
    * Feng Tang and Hai Tao, "Fast Linear Discriminant Analysis Using Binary Bases," IEEE International Conference on Pattern Recognition (ICPR),  vol. 2, pp. 52-55, , 2006
    * Hai Tao, Ryan Crabb, and Feng Tang, Non-orthogonal Binary Subspace and its Applications in Computer Vision," Proc. IEEE International Conference on Computer Vision (ICCV) vol. 1, pp. 864-870, Oct. 2005
    * Feng Tang and Hai Tao, "Object Tracking with Dynamic Feature Graph," Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), in conjunction with ICCV, pp. 25-32, also in CVOnline: On-Line Compendium of Computer Vision. R. Fisher (ed).  Available: CVOnline, 2005
    * Feng Tang, Yiting Ying, Jin Wang, and Qunsheng Peng, "A Novel Texture Synthesis Based Algorithm for Object Removal in Photographs," the 9th Asian Computing Science Conference, Chiang Mai, LNCS 3321, pp. 248-258, 2004
    * Songhua Xu, Francis Lau, Feng Tang and Yunhe Pan, "Advanced Design for a Realistic Virtual Brush," Proc. of Eurographics 2003, also Comput. Graph. Forum vol. 22, no. 3, 533-542, 2003

Professional activities

    * Student member of IEEE and ACM.
    * Member of British Machine Vision Association & Society for Pattern Recognition.
    * Reviewer for
       Machine Vision and Applications Journal, Pattern Recognition, Pattern Recognition Letters, Neurocomputing, Neural Processing Letters, International Journal of Pattern Recognition and Artificial Intelligence, IEEE Transactions on Systems, Man, and Cybernetics{Part B: Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transaction on Pattern Analysis and Machine Intelligience