Pascal Fua joined the faculty of EPFL and the Computer Graphics Laboratory in 1996. Before that, he worked at SRI International and at INRIA Sophia-Antipolis as a computer scientist. His current research interests include human shape and motion modeling from images and Augmented Reality applications.

The following are in reverse chronological order of publication.

Showing most recent 5 out of 18  [View All]

• Leclerc, Y. G. and Luong, Q.-T. and Fua, P. V. Self-consistency, Stereo, MDL, and Change detection. IJCV, 2002.  [PDF, Details]

• Leclerc, Y. and Luong, Q.-T. and Fua, P. Characterizing the Performance of Multiple-image Point-correspondence Algorithms using Self-Consistency, in Proceedings of the Vision Algorithms: Theory and Practice Workshop (ICCV99), Corfu, Greece, Sep 1999.  [PDF, Details]

• Leclerc, Y. G. and Luong, Q. T. and Fua, P. Self-Consistency, A Novel Approach to Characterizing the Accuracy and Reliability of Point-Correspondence Algorithms, in One-day Workshop on Performance Characterisation and Benchmarking of Vision Systems, Las Palmas de Gran Canaria, Canary Islands Spain, 1999.  [PDF, Details]

• Leclerc, Y. G. and Luong, Q.-T. and Fua, P. Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms, in Proceedings of the DARPA Image Understanding Workshop, Monterey, California, Nov 1998.  [PDF, Details]

• Leclerc, Y. G. and Luong, Q.-T. and Fua, P. A Framework for Detecting Changes in Terrain, in Proceedings of the DARPA Image Understanding Workshop, Monterey, California, Nov 1998.  [PDF, Details]