General

Dr. Huang received his BSc and MSc from Nanjing University of Science Technology, China and obtained his PhD degree from Southeast University. He has worked in National Lab. of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Science (CASIA), China since 2004, and he has been an  full professor in NLPR from 2011. He is IEEE Senior member and deputy general secretary of IEEE Beijing Section (2006-2008). Dr. Huang has initiated, set direction and managed successfully many leading-edge research projects, including two National Science Foundation of China (NSFC No. 60875021, No. 60605014), 1 National High Technology Research and Development Program("863"Program) of China (No. 2009AA01Z318), and several International collaborative projects. He serves as over forty technique program committee members of international conference. Since 2007, Dr. Huang has been a regular independent expert evaluator and reviewer for National Science Foundation of China (NSFC)) on research grant application and project progress appraisal; he is an executive team member of IEEE SMC Cognitive Computing Committee as well as Associate Editor of IEEE Trans on Systems, Man, and Cybernetics: Systems (TSMC), International Journal of image and graphics (IJIG), Electronic Letters on Computer Vision and Image Analysis (ELCVIA) and Guest Editor of Signal Processing special issue on Security. He has obtained the Beijing Science & Technology Star Award and the Beijing Science and Technology Progress Award in 2008. His current research interests include visual surveillance、digital image processing, pattern recognition and biological based vision and son on. He has published over 100 papers in the important international journals and conference such as IEEE TIPAMI, T-IP, T-SMC-B, TCSVT, Pattern Recognition (PR), Computer Vision and Image Understanding (CVIU), ICCV, ECCV, CVPR, ICIP, ICPR.

Experience

   
Work Experience


  • Visiting Professor  2015-2016,          Oxford University, Department of Science and Engineering
  • Professor Oct. 2011-Present         National Lab. of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Science (CASIA),China
  • Asso.Prof. Dec. 2005-Oct. 2011      NLPR,CASIA,China
  • Postdoc. Mar.2004-Dec.2005          NLPR,CASIA,China
Teaching Experience

Video Processing and Analysis


Honors & Distinctions

   
Awards
1. Beijing Science & Technology Star Award,2008
2. The 12th China Patent Award (Outstanding Patent – Visual Surveillance), 2010.
3. Winner in Object Detection, PASCAL VOC 2010.
4. National Science and Technology Progress Award (Image Understanding for Visual Surveillance), 2011.
5. Best Student Paper Award (with X. Zhao et al), Asian Conference on Pattern Recognition, 2011.
6. Winner in Object Detection, PASCAL VOC 2011.
7. The Elsevier Best Paper Award (with X. Chen et al), Chinese Conference on Pattern Recognition, 2012.
8. the Excellent Young Scholars Award of National Science Foundation of China (NSFC),2013
9. The first outstanding members of Youth Innovation Promotion Association, CAS,2013
10.Winner in Object Classification task in ImageNet-ILSVRC (additional data),2014

Publications

   
Papers

Some Journal papers 
[1]K.Huang,W.Ren,T.Tan,"A Review on Image Object Detection and Classification," Chnese Journal of Computers, 37(6),1-18,.2014
[2]K.Huang,XT. Chen,Y.Kang,T.Tan," Intelligent Visual surveillance:A review" Chnese Journal of Computers, 2014,Vol.37,No.49, Online Publishing
[3]K.Huang,T.Tan,"Review on Computational Model for Vision",Pattern Recognition and Artificial Intelligence, 26(10), pp,951-958,2013
[4] K. Huang, C. Wang, D. Tao,"High-Order Topology Modeling of Visual Words for Image Classification". IEEE Trans. Image Processing (TIP) 24(11): 3598-3608, 2015
[5] K. Huang, Y.Zhang, T.Tan, "A Discriminative Model of Motion and Cross Ratio for View-invariant Action Recognition", IEEE Transactions on Image Processing (TIP), 21(5):2187-2197, 2012
[6] K. Huang, D.Tao, X.Li, T.Tan,"Biologically Inspired Features for Scene Classification in Video Surveillance", IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMC-B), 41(1), pp: 307-313, Feb. 2011.
[7] K. Huang, D.Tao, X.Li, T.Tan. “View Independent Human Behavior Analysis”, IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMC-B), vol. 39, no. 4, pp: 1028-1035, August 2009.
[8] K. Huang, S. Wang, T. Tan, S.J.Maybank,"Human Behavior Analysis Based on a New Motion Descriptor", IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).vol.19, no.2, pp:1830-1840, 2009
[9] K. Huang, L.Wang, T.Tan, S.J.Maybank,"A Real-time Detecting Tracking Distant Objects System for Night Surveillance", Pattern Recognition (PR), Volume 41, Issue 1, pp: 432-444, 2008   (video挑战的夜间视频
[10] K. Huang, T. Tan, "Vs-Star: a Visual Interpretation System for Visual Surveillance", Pattern Recognition Letters (PRL), V. 31, Issue 14(15), Pp: 2265-2285, 2010  
[11] K. Huang, Q.Wang, Z.Wu."Natural Color Image Enhancement Evaluation Algorithm based on Human Visual System", Computer Vision and Image Understanding (CVIU), 103, pp: 52-63, 2006.
[12] K. Huang, Q.Wang, Z.Wu,"Color Image Denoising with Wavelet Thresholding based on Human Visual System Model", Signal Processing: Image Communication(SP:IC), Vol. 20 ( 2). pp: 115-127, 2005.
[13] K. Huang, Q.Wang, Z.Wu,"Image Enhancement based on the Statistics of Visual Representation", Image and Vision Computing (IVC), V23, pp:51-57, 2005.                                                                                         
[14] W. Ren, K. Huang, D. Tao, T. Tan"Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting." IEEE Trans. Pattern Anal. Mach. Intell (TPAMI). 38(2): 405-416, 2016

[15] C.Wang, K.Huang," How to use Bag-of -Word model better for Image Classfication", Image and Vision Computing (IVC), V.38. Pages,65-74,2015                                                                                               
[16] Y. Cheng, X. Zhao, K.Huang, T. Tan, "Semi-supervised learning and feature evaluation for RGBD object recognition",Computer Vision and Image Understanding(CVIU), Volume 139, October, Pages 149-160,2015         
[17] C. Wang, K. Huang, W. Ren, J. Zhang, S. Maybank, &ldquo"Large-Scale Weakly Supervised Object Localization via Latent Category Learning.&ldquo" IEEE Trans. Image Processing(TIP) 24(4): 1371-1385, 2015                                    
[18] Z. Zhang, T. Tan, K. Huang, "An Extended Grammar System for Learning and Recognizing Complex Visual Events", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), V.33 (2),Pp: 240-255,2011. 
[19] Z. Liu, K. Huang, T.Tan, "Cast Shadow Removal Using MRF Based on Hierarchical Information", IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 22(1),pp,56-66,2012

Some Conference papers 
[1] Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang,"GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs", The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 1761-1769
[2] Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huan, Yong Rui,"Query Adaptive Similarity Measure for RGB-D Object Recognition",The IEEEE International Conference on Computer Vision(ICCV), 2015.
[3] Lianrui Fu, Junge Zhang, Kaiqi Huang,"Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation",The IEEEE International Conference on Computer Vision(ICCV), 2015.
[4]Kangwei Liu, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deformable Object Matching via Deformation Decomposition based 2D Label MRF”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014.  
[5]Chong Wang, Weiqiang Ren, Kaiqi Huang, Tieniu Tan, "Weakly Supervised Object Localization with Latent Category Learning,",ECCV 2014.
[6] C. Wang, J. Zhang, P. Yang, and K. Huang, “Robust Object Recognition via Visual Pathway Feedback,” accepted by ICPR, 2014(Oral)
[7] Weihua Chen,Lijun Cao,Xiaotang Cheng, Kaiqi Huang," A novel solution for multi-camera object tracking", ICIP2014,(muit-camera tracking database: http://mct.idealtest.org/.)
[8] Xiaotang Chen, Kaiqi Huang, Tieniu Tan," Learning the Three Factors of A Non-Overlapping Multi-Camera Network Topology",       ChineseConferenceonPatternRecognition(CCPR),2012, (Elsevier Best Paper Awards)
[9]Y.Huang, Kaiqi Huang, T.Tan, ”Salient Coding for Image Classification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011,
[10] J.Zhang, Kaiqi Huang, T.Tan, ”Boosted Local Structured HOG-LBP for Object Localization”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011,
[11] Y.Huang, Kaiqi Huang, T.Tan,” Exploring Relations of Visual Codes for Image Classification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011,
[12] X.Zhao,J.Ding,Kaiqi Huang,T.Tan,"Global and Local Traning for Moving Object Classification in Surceillance Oriented Scene.",The First Asian Conference on Pattern Recognition (ACPR2011),Nov.2011(The IAPR Best Student Paer Award)
[13]Min Li, Wei Chen, Kaiqi Huang, Tieniu Tan, “Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
[14] Zhang Zhang, Kaiqi Huang, T.Tan. "Multi-Thread Parsing for Recognizing Complex Events in Videos", Proc. of the 10th European Conference on Computer Vision (ECCV), 2008
[15] Yongzhen Huang, Kaiqi Huang, T.Tan. "Enhanced Biologically Inspired Model", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
[16] Zhaoxiang Zhang, Min li, Kaiqi Huang, T.Tan. "Practical Camera Auto-Calibration based on Object Appearance and Motion for Traffic Scene Visual Surveillance ", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
[17]Kaiqi Huang, Ls. Wang, Tieniu Tan,"Detecting and Tracking Distant Objects at Night Based on Human Visual System", the 7th Asian Conference on Computer Vision (ACCV), 822-832. 2006.
[18]Kaiqi Huang, Qiao Wang, Zhen-yang Wu, "Color image enhancement and evaluation algorithm based on human visual system", IEEE Proceedings of the International Conference of Speech, Acoustics, Signal Processing (ICASSP), III:721-724, 2004. (Selected among top 15% papers in Image and Video Coding and Quality category, and received an invitation to submit to IEEE Signal Processing Society journals. (Acceptance rate: 15%*50% = 7.5%)

Patents
Obtain Over 20 Patents (Inlcuding Chinese and US patent)

Research Interests

Visual analysis, Object Recognition, Multi-camera Tracking, Behavior Analysis

Research Grants

  • 2013-2016  National Science Foundation of China (NSFC) for the Excellent Young Scholars (PI)
  • 2012-2015 "Object Recognition based on Topological Cognition Theory", NSFC(PI)
  • 2012-2017 "Multi Camera Tracking for Wild Area", the National Basic Research Program of China (973 Program)(PI)
  • 2010-2011 "Video Analysis for Smart Home", schroet kommando (SK Corporation), Korea (PI)
  • 2010-2012 "Cognitive Mechanism for Object Recognition", Tsinghua University (PI)
  • 2008-2011 "Video Object Recognition based on Visual Perception", NSFC(PI)
  • 2008-2009 "Multi-features fusion for Image Matching and Tracking in Augmented Reality", the National High Technology Research and Development Program(863)(PI)
  • 2007-2008 "Abnormal Behavior Analysis in Video", Grant from Samsung Corporation, Korea (PI)
  • 2006-2008 "Object Detection and Tracking for Night Surveillance Scene", NSFC (PI)

Students

Ggraduated
6 masters and 3 PhD.

Undersupervsied
8 PhDs and 4 Masters

 

Research Areas

   

Education

   

Conferences

   

Academy Activities

• Guest Editor of IEEE Trans. on SMC:Systems Special Issue on Large Scale Video Analytics for Enhanced Security :Algorithms and Systems. 2016
• Co-Chair of the International Workshop on Visual Surveillance and Re-Rdentification (Vs-ReID) conjuncted with European Conference on Computer Vision  (ECCV2014) Sep.12, 2014, Zurich, Swissland. 
• Program Committee of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2013) June 23-28, 2013, Portland, Oregon, USA. 
• Program Committee of the IEEE Workshop on the Applications of Computer Vision (WACV) 2013, Jan. 17th-18th, Clearwater Beach Florida. 
• Area Chair of the IEEE Conference series on video and signal based surveillance (AVSS2012) 18-21,Sep,2012,Beijing,China 
• Program Committee of the 11th Asian Conference on Computer Vision (ACCV2012), Nov. November 5-9, 2012, Daejeon, Korea 
• Session Chair of the 11th Asian Conference on Computer Vision (ACCV2012), Nov. November 5-9, 2012, Daejeon, Korea 
• Program Committee of The European Conference on Computer Vision (ECCV2012), October 8-11th, 2012, Firenze, Italy. 
• Program Committee of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2012) June 18-20, 2012, Rhode Island, USA. 

Invited Talk
• Invited talk "Object Recognition with Weak Supervision" at Large Scale Visual Recognition Challenge 2014 (ILSVRC2014) Workshop
• Invited talk " Multi-Camera Object Tracking Challenge and Database" at Visual Surveillance and Re-Rdentification(VS-ReID2014) workshop
• Invited talk " Weakly supervised Object Recognition", The 6th China-Scotland Signal and Image Processing Research Academy (SIPRA) Workshop,2015,30-31,May.Stirling University, Scotland