
Zhe Lin
I am a PhD Student in the Department of Electrical and Computer
Engineering, University of Maryland at College Park, supported by Fellowship and Graduate Assistantship. I am currently working as a full time Graduate Research Assistant in Language and Media Processing Laboratory, Institute for Advanced Computer Studies (UMIACS), supervised by Prof. Larry Davis, Dr. David Doermann and Dr. Daniel
DeMenthon.
Office: RM3348 A.V.Williams Bldg., Dept. of ECE, Univ. of Maryland, College Park, MD 20742
Home: 6100 Westchester Park Dr., Apt. 512, College Park,
MD, 20740
E-mail: zhelin@umiacs Homepage: http://www.glue.umd.edu/zhelin/
Phone: 1-240-687-8440
Education
- 1997.9~2002.7
B.Eng. Dept. of Automation, University of Science and Technology of China (USTC),
Advisor:
Prof. Zengfu Wang
- 2002.9~2004.8
M.S. Dept. of EECS, Korea Advanced Institute of Science and Technology (KAIST), Advisor: Prof. In So Kweon
- 2005.8~present
PhD Student, Dept. of ECE, University of Maryland at College
Park, Advisor: Prof. Larry S. Davis
Current GPA: 4.0/4.0, PhD Qualifying Written and Oral Exam (Pass, May 2006)
PhD Proposal Defense (Pass, Jan 2008), Expected Graduation (Summer 2009)
Research
Areas of Interests
- Object Detection, Recognition and Categorization
- Pattern Classification and Machine Learning
- Feature Extraction, Image and Object Segmentation
- Image/Video Retrieval, Tracking and Motion Analysis
- Vision-based Robot Localization and Navigation
Current Research
- Appearance Matching and Recognition
Developed pairwise discriminative learning-based techniques to appearance-based person recognition to better handle the scalability
problem, i.e. recognition of large number of categories. Also developed algorithms for matching appearances under occlusion. The approach
is tested on 61 person Honeywell appearance dataset, and 50 person multiview, multipose Keck lab (UMD) dataset.
Related papers: Z. Lin and L. S. Davis, Some paper, submitted to ECCV'08 and Z. Lin, L. S. Davis, D. Doermann and D. DeMenthon, Simultaneous appearance modeling and segmentation for matching people
under occlusion, ACCV'07.
Part of this work is delivered to Panasonic Inc. Princeton, NJ
Source codes and datasets are available later.
- Multiple Occluded Human Detection, Segmentation and Tracking
Developed algorithms for detecting and segmenting humans under occlusion. The detection
is performed by a part-template shape matching method and the segmentation is done by
pose-assisted appearance-based segmentation which simultaneously estimates human poses and
segmentation. We are currently applying these approaches to multi-target tracking system for
visual surveillance applications.
- Vision-based Path Planning, Localization and Navigation System
- Feature-based Object Recognition System
- Development of Robust Visual Features
Work Experience
- Research Intern, Microsoft Live Labs Research, Redmond, WA, May 2008-
- Scalable object detection in still and motion images
- Part-time Researcher, Software Development at Hanool Robotics Corp., 2003-2004
- Object recognition algorithm porting and optimization on Strong-ARM embedded system.
- Development of fast object recognition system on Hanuri-RD mobile robot.
Professional Activities
- Visiting Student
- Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea, Aug. 2004
- Reviewer for
- International Conference on Pattern Recognition (ICPR), 2006, 2008
- Computer Vision and Image Understanding (CVIU), 2008
- Membership
Publications
- Thesis
- "Development of robo-cup soccer robot vision system," Bachelor's Thesis, 2002.6.
- "Robust local invariant features for real-time object recognition," Master's Thesis, 2004.6.
- Conference
- Zhe Lin and Larry S. Davis, "A Pose-Invariant Descriptor for Human Detection and Segmentation", 10th European Conference on Computer Vision (ECCV 2008),
Marseille, France, 2008, accepted.
- Zhe Lin, Larry S. Davis, David Doermann, Daniel DeMenthon, "An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans,"
ICCV Workshop on Interactive Computer Vision (ICV 2007), Rio de Janeiro, Brazil, 2007.pdf
Annotated 404 pedestrian silhouettes (selected from INRIA person dataset): download
- Zhe Lin, Larry S. Davis, David Doermann, Daniel DeMenthon, "Simultaneous Appearance Modeling and Segmentation for Matching People under Occlusion,"
Asian Conference on Computer Vision (ACCV 2007), Tokyo, Japan, 2007.pdf
- Zhe Lin, Larry S. Davis, David Doermann, Daniel DeMenthon, "Hierarchical Part-Template Matching for Human Detection and Segmentation,"
IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, 2007.pdf
Part-template-tree model: download
Dataset (200 frames from Caviar data and 200 frames from Munich Airport data) with
annotation: download
- Son Tran, Zhe Lin, David Harwood, Larry Davis, "UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking,"
Classification of Events, Activities and Relationships Workshop (CLEAR 2007). pdf
- Zhe Lin, Sungho Kim, In So Kweon, "Object recognition and indoor topological navigation using robust invariant
features," 2005 IEEE/RSJ Conference on Intelligent Robots and Systems (IROS 2005), Edmonston, Canada, 2005. pdf
- Zhe Lin, Sungho Kim, In So Kweon, "Robust invariant features for object recognition and mobile robot navigation," 2005 IAPR
Conference on Machine Vision Applications (MVA 2005), Tsukuba Science City, Japan, 2005. pdf
- Zhe Lin and In So Kweon, "Robust invariant feature extraction for object recognition and natural landmark based
autonomous navigation," First International Conference on Ubiquitous and Intelligent Robot (ICUIR 2004), The Korea
International Robot Week, COEX, Seoul, Nov. 2004.
- Sungho Kim, Zhe Lin, Wangheon Lee and In So Kweon, "3D object recognition system based on the robust properties
of human visual system," First International Conference on Ubiquitous and Intelligent Robot (ICUIR 2004), The Korea
International Robot Week, COEX, Seoul, Nov. 2004.
- Zhe Lin and In So Kweon, "A novel scale-invariant feature for object recognition and mobile robot navigation,"
Proceedings of the 11th IEEE International Conference on Mechatronics and Machine Vision in Practice
(M2VIP 2004), Macau, 2005.
- Journal
- Zhe Lin and In So Kweon, "Robust invariant features for object recognition, pose estimation and topological
navigation," International Journal on Human Friendly Welfare Robotic Systems (IJHWRS), Volume 6, No. 1, Mar. 2005.
Graduate Courses
Related Links
Vision Groups
- INRIA Homepage
- CMU Computer Vision Page
- Stanford Robotics Page
- MIT Media Lab
- CMU Robotics Institute
- MIT Artificial Intelligence Laboratory
- Oxford University Robots Research Group Homepage
- AI Vision-KAIST Group
- Caltech Vision Group Main Page
- UC Berkeley Computer Vision Group
- Institute of Robotics and Intelligent Systems at USC
- Robust Robot Vision Lab. at KAIST
- LAMP at UMCP
- CFAR at UMCP
Other Useful Links
- CVOnline
- Computer Vision Bibliography
- Face Recognition
- Wavelet Links
- Pattern Recognition Links
Personal Stuff
For detailed resume, please refer to [pdf]
Copyright@2004~2005, All Rights Reserved By
Zhe Lin
Last updated 06/24/2008