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Chi-Wei (Wayne) Chu 朱祁偉 Institute for Robotics and Intelligent Systems USC Viterbi School of Engineering University of Southern California PHE 204, MC-2073 Los Angeles, CA 90089-0273 ![]() |
Profile
Hello, I am a PhD candidate doing computer vision research in IRIS with Prof. Ram Nevatia, Viterbi School of Engineering, University of Southern California. I plan to finish my PhD study in Aug 2008. Currently looking for a job in postdoc research or industrial R&D.
Resume
- PDF version
Publications
PhD Dissertation
- Body Pose Estimation and Gesture Recognition for Human-Computer Interaction System
(advisor: Prof. Ramakant Nevatia) University of Southern California, 08/2008.
Pending review by USC thesis editor
- Transport Protocol Supports for Reliable Multicast Communication
Master Thesis, National Taiwan University, 06/1997. pdf
- Chi-Wei Chu, Ramakant Nevatia, “Real-Time 3D Body Pose Tracking
from Multiple 2D Images”, Conference on Articulated Motion and Deformable
Objects (AMDO) 2008. pdf
- Chi-Wei Chu, Ramakant Nevatia, “Real Time Body Pose Tracking in an Immersive Training Environment”, ICCV Workshop on Human-Computer Interaction (ICCV-HCI) 2007: 146-156. pdf
- Bo Wu, Vivek Kumar Singh, Ram Nevatia, Chi-Wei Chu, “Speaker Tracking in Seminars by Human Body Detection”, CLEAR 2006: 119-126
- Chi-Wei Chu, Isaac Cohen, “Posture and Gesture Recognition using 3D Body Shapes Decomposition”. IEEE Conf. on Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , Human-Computer Interaction Workshop, 2005. pdf
- Chi-Wei Chu, Odest Chadwicke Jenkins, Maja J Mataric, “Markerless Kinematic Model and Motion Capture from Volume Sequences”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Volume 2, pp.475-482, 2003. pdf
Research Interests
- Computer Vision for human computer interaction
- Machine learning and artificial intelligence
Software & Libraries
Those are software and development libraries I often used:
Projects
This is a software project I started to practice C# language:
- SharpView.Net : an image viewer with interface similar to ACDSee.

