Grace Tsai
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Grace Shin-Yee Tsai
E-mail: [email protected]
Website: http://www.eecs.umich.edu/~gstsai
SUMMARY
Research interest on computer vision, robotics and image processing. Experienced in 3D reconstruction,
real-time computer vision methods, 3D image processing. Developed real-time computer vision algorithms
for indoor navigating robots.
EDUCATION
Ph.D. Electrical Engineering: Systems
August 2014
University of Michigan, Ann Arbor, Michigan
• Advisor: Benjamin Kuipers
• Thesis Topic: “On-line, incremental visual scene understanding for an indoor navigating robot”
M.S. Electrical Engineering: Systems
University of Michigan, Ann Arbor, Michigan
• GPA: 3.84/4.00
B.S. Electrical Engineering
National Central University, Jhongli, Taiwan
• GPA: 3.94/4.00
• Advisor: Chih-Wei Tang
• Thesis Topic: “Two-View Face Recognition Using Bayesian Fusion”
December 2011
June 2009
RESEARCH EXPERIENCE
Research Intern SRI international (Princeton, NJ)
Summer 2013
• Developed algorithms for extracting geometric features of salient objects in hand-held images.
• Developed a hierarchical matching algorithm to geo-register hand-held images using geometric and
semantic cues.
• Implemented feature extraction and matching algorithms for geo-location in urban environment.
• Demonstrated promising performance for large-scale applications.
• Received Best intern poster award; Best ITAR poster award.
Graduate Student Research Assistant (University of Michigan)
2009 - Present
• Proposed a concise and semantically meaningful representation for indoor environments that is capable
of representing incomplete knowledge.
• Developed an on-line generate-and-test framework with Bayesian filtering for incremental visual scene
understanding.
• Proposed methods to focus attention to important visual features for efficiently testing hypothesized
model.
• Developed algorithms to handle perceptual clutter with a simple structural model.
TEACHING EXPERIENCE
Graduate Student Instructor (University of Michigan)
• EECS 280 Programming and Introductory Data Structures
Winter 2014
Grace Tsai
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LEADERSHIP EXPERIENCE
Chairperson, IEEE Student Branch in National Central University,
• Attended IEEE R10 Student Congress 2008, Chennai, India (January 27-30, 2008)
Exhibition of student branches
Presentation: IEEE student branch in NCU
Culture Program: A brief introduction of Taiwanese culture
Personal interview on IEEE TV
2007 - 2008
PUBLICATIONS
G. Tsai, and B. Kuipers, “Handling perceptual clutter for robot vision with partial model-based interpretations,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014.
G. Tsai, “On-line, incremental visual scene understanding for an indoor navigating robot,” Ph.D. Thesis,
The University of Michigan, 2014.
G. Tsai, C. Johnson and B. Kuipers, “Semantic visual understanding of indoor environments: from structures to opportunities for action,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Workshop on Vision Meets Cognition, 2014.
G. Tsai, and B. Kuipers, “Focusing on visual features that matter,” Proceedings of the British Machine
Vision Conference (BMVC), 2013.
G. Tsai and B. Kuipers,“Toward visual semantic modeling of the local environment for an indoor navigating
robot,” IEEE/RSJ International Conference on Intelligent Robots and Systems Workshop on Active Semantic
Perception (ASP’12), 2012.
G. Tsai and B. Kuipers, “Dynamic visual understanding of the local environment for an indoor navigating
robot,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012.
G. Tsai, C. Xu, J. Liu, and B. Kuipers, “Real-time indoor scene understanding using Bayesian filtering
with motion cues,” IEEE International Conference on Computer Vision (ICCV), 2011.
G. Tsai and C.-W. Tang, “Two-view face recognition using Bayesian fusion,” IEEE International Conference
on Systems, Man, and Cybernetics (SMC), 2009.
PRESENTATIONS
Poster Presentation, CVPR’14 Workshop on Vision Meets Cognition, Columbus, Ohio, U.S.A. “Semantic
visual understanding of indoor environments: from structures to opportunities for action,” Jun. 23, 2014.
Poster Presentation, Engineering Graduate Symposium, University of Michigan, “Real-time visual scene
understanding for an indoor navigating agent,” Nov. 14, 2013.
Poster Presentation, BMVC’13, Bristol, U.K.. “Focusing attention on visual features that matter,” Sep. 10,
2013.
Oral Presentation, IROS’12, Vilamoura, Algarve, Portugal. “Dynamic visual understanding of the local
environment for an indoor navigating robot,” Oct. 7, 2012.
Oral Presentation, IROS’12 Workshop on Active Semantic Perception, Vilamoura, Algarve, Portugal. “Toward visual semantic modeling of the local environment for an indoor navigating robot,” Oct. 10, 2012.
Grace Tsai
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Poster Presentation, ICCV’11, Barcelona, Spain. “Real-Time indoor scene understanding using Bayesian
filtering with motion cues,” Nov. 10, 2011.
Spotlight Presentation, ICCV’11, Barcelona, Spain. “Real-Time indoor scene understanding using Bayesian
filtering with motion cues,” Nov. 10, 2011.
Qualify Presentation, University of Michigan, Department of Electrical Engineering: Systems. “Real-Time
Indoor Scene Understanding using Bayesian Filtering with Motion Cues,” May, 2011.
Oral Presentation, SMC’09, San Antonio, Taxes, U.S.A. “Two-view face recognition using Bayesian fusion”,
Oct. 11, 2009.
HONORS AND AWARDS
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University of Michigan Rackham Conference Travel Grant
Facebook Grace Hopper Celebration Scholarship
University of Michigan Rackham Conference Travel Grant
University of Michigan Rackham Conference Travel Grant
GAANN (Graduate Assistance in Areas of National Need) Fellowship,
Best Student Award of National Central University,
Second Prize in Undergraduate Project Competition
of College of Electrical Engineering and Computer Science, NCU,
(Also won a special award for the most popular design)
• Best Student Award of National Central University
• Presidential Awards of National Central University for most semesters
(Fall 2005, Spring 2006, Fall 2006, Spring 2007, Spring 2008, Fall 2008)
COMPUTER SKILLS
C++/ C, OpenCV, Qt, MATLAB, (Hspice, Pspice, Verilog, Maxplus2).
2013
2012
2012
2011
2009 - 2010
Fall 2007
June 2008
Fall 2008

Plan - Meine Seestadt