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Tony X. Han Image Formation &
Processing Group 2323, Beckman Institute E-mail: xuhan at
ifp-uiuc-edu Office Tel: 1. 217. 244.
2960 I moved to ECE Department
at University of Missouri. My new webpage is here. |
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Research
Interests l Computer Vision: Human Detection, Tracking, and Activity Recognition l Statistical Learning l Image/Signal/Video Processing, Multimedia |
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Education Background l Ph.D. Candidate in Electrical & Computer Engineering(expected),
08/2002~~present Dept. of Electrical & Computer Engineering,
Uni. of Thesis: Watching Human and Their Activities Advisor: Professor Thomas
S. Huang, William L. Everitt Professor of Electrical Engineering l M.S. in Electrical and Computer Engineering, 09/2000~~05/2002 Experiential
Signal Processing Lab, University of Rhode
Island, Thesis: AIMS: Active Image Motion Seeking Camera System Advisor: Professor Sun Ying l M.S. in Information Science, 08/1998~~08/2000 Institute of Information Science, Beijing
Jiaotong University,
Thesis: Stereo Vision Transmission Research Based on
TCP/IP Advisor: Professor
Baozong Yuan, Director of l B.S. in Information & Communication Engineering, 09/1994~~07/1998 Special Class for Gifted Student, Beijing Jiaotong
University, |
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Selected
Academic Honors & Award ² Computational
Science and Engineering Fellowship, ² ICCV Travel
Grant,
2005. ² Siemens
Scholarship,
Sponsored by Siemens Corporate Research, 2004. ² Second Prize, in “The 7th National College Student Mathematical Contest in
Modeling,” ² Third Prize, in “ ² Siemens
International Student Scholarship, Sponsored by Siemens Co. Ltd., 1999. ² The Excellent
Paper, in “the 10th Hui Guang Cup
Academic Conference,” 1999. ² ² Honor Graduate
of ² Supreme
Scholarship of Graduate Students in ² First Prize, of ² First Prize, in “The National Applied Physics Competition,” ² Second Prize, in “The 5th Zheng Da Cup Computer Programming Competition,” High school students group, 1992. |
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Publications Journal Papers [2] Tony X. Han,
Huazhong Ning, and Thomas S. Huang, “Efficient Nonparametric
Belief Propagation”, 2007 (journal version of our CVPR06 work, submitted to
IEEE Trans. On PAMI) [1] Tony X. Han and Baozong Yuan, “Stereo Vision
Transmission Research Based on TCP/IP”, Journal of Northern Conference Papers [11] Tony X. Han, Huazhong Ning, and Thomas S. Huang, “Fusion by Optimal Dynamic Mixtures of Proposal Distributions,”
submitted. [10] Huazhong Ning, Tony
X. Han, Ming Liu, and Thomas S. Huang, “A Space-time HMAX Model for Searching Human Behaviors,”
submitted. [9] Tony X. Han, Ming Liu, and
Thomas S. Huang, “A
Drifting-proof Framework for Tracking and Online Appearance Learning,” accepted by IEEE Workshop on Applications of Computer
Vision (WACV 2007). [8] Tony X. Han, Huazhong Ning, and
Thomas S. Huang, “Efficient
Nonparametric Belief Propagation with Application to Articulated Body
Tracking,” IEEE Conference on
Computer Vision and Pattern Recognition (CVPR
2006), pp. 214-221. [7] Huazhong Ning,
Tony X. Han, Yuxiao Hu, Zhenqiu
Zhang, Yun Fu, and Thomas S.
Huang, “A Realtime
Shrug Detector,” IEEE conference series on Automatic Face and Gesture
Recognition (FG 2006), pp.
505-510. [6] Tony X. Han, Visvanathan Ramesh,
Ying Zhu, and Thomas S. Huang, “On Optimizing Template
Matching via Performance Characterization,” IEEE International Conference on Computer Vision (ICCV 2005), pp. 182-189. [5] Tony X. Han and Thomas S. Huang,
“Articulated
Body Tracking Using Dynamic Belief Propagation,” IEEE International Workshop on Human-Computer
Interaction, in conjunction with ICCV (ICCV-HCI
2005), pp. 26-35. [4] Ming Liu, Tony X. Han, and Thomas S. Huang, “Online
Appearance Learning by Template Prediction”, IEEE International Conference on Advanced Video and
Signal-Based Surveillance (AVSS 2005),
pp.210-217. [3] Lei Chen, R. Travis Rose, Ying Qiao, Tony X. Han, Jilin Tu, Zhongqiang Huang, Mary Harper, Francis
Quek, Yingen Xiong, David McNeill, Ronald Tuttle, and Thomas Huang, “VACE
Multimodal Meeting Corpus,” Second International Workshop on Machine Learning for Multimodal
Interaction (MLMI 2005), pp. 40-51. [2] Tony X. Han, Steven Kay, and Thomas S.
Huang, “Optimal
Segmentation of Signals Based on Dynamic Programming and Its Application to
Image Denoising and Boundary Feature Extraction,” IEEE International Conference on Image Processing (ICIP 2004), pp. 2693-2696. [1] B. Georgescu, Dorin Comaniciu, Tony X. Han, and X. S. Zhou, “Multi-model Component-Based Tracking Using Robust
Information Fusion”, Second International Workshop on Statistical Methods in Video
Processing, in conjunction with ECCV (ECCV-SMVP 2004), pp. 61-70. Journal Papers in Preparation [1] “Optimizing
Template Matching via Performance Characterization,” with Visvanathan Ramesh,
Ying Zhu, and Thomas S. Huang (the extended journal version of our ICCV 2005
paper). [2] “Fisher
Boosting” with Jilin Tu, Zhihong Zeng, and Thomas S. Huang (the extended
journal version of Jilin Tu's CVPR 2004 paper). Conference Papers in Preparation [1] “Learning by Selective Normalization,” with
Shuicheng Yan, and Thomas S. Huang (To be submitted ICML 2007). Patent [1] “AIMS: Active Image Motion
Seeking Camera System,” File pending (With Prof. Y. Sun) [2] “Robust Object Tracking
using Dynamic Components,” Siemens Corporate Research (With Dr. D. Comaniciu) [3] “Probabilistic Optical Flow,
Scale Selection and Sequential Affine Warping,” Siemens Corporate Research
(With Dr. V. Ramesh and Dr. Y. Zhu ) |
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Academic Review Journal Review l
IEEE Trans. on PAMI l IEEE Trans. on Circuits and Systems for Video Technology
l IEEE Trans. on
systems, man and cybernetics
l Pattern Recognition
l Image and Vision
Computing
l EURASIP Journal on
Applied Signal Processing Book Chapter Review l
3D Modeling and Animation:
Synthesis and Analysis Techniques for the Human Body Conference Review l
CIVR 2006 l Second IEEE Workshop on Vision for Human Computer
Interaction(V4HCI), in conjunction with CVPR 2006
l Third Joint Workshop on
Machine Learning and Multimodal Interaction(MLMI) 2006
l Sixth International
Workshop in Image Analysis for Multimedia Interactive Service (WIAMIS) 2005
l International
Conference on Machine Learning and Data Mining(MLDM) 2003
l CVPR Workshop
on Event Mining, 2003 |
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Academic and Professional Activities l | |