Pascal Fua

Expertise Computer Vision, Machine Learning, Biomedical Imaging, and Computer Assisted Engineering Pascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and a Ph.D. in Computer Science from the University of Orsay in 1989. After that, he worked at SRI International and at INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 400 publications in refereed journals and conferences. He has received several ERC grants. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has co-founded three spinoff companies. Teaching & PhD PhD Students Aoxiang Fan, Zhantao Deng, Deniz Sayin Mercadier, Yihong Chen, Edouard Robert A. Dufour, Tianzong Zhang, Hantao Zhang, Nicolas Talabot, Saqib Javed, Corentin Dumery, Yingxuan You, Federico Stella Past EPFL PhD Students Ralf Plänkers, Lorna Herda, Luca Vacchetti, Slobodan Ilic, Seyed Ali Shahrokni, Raquel Urtasun, Miodrag Dimitrijevic, Julien Pilet, Pascal Lagger, Mathieu Salzmann, Jérôme Berclaz, Mustafa Özuysal, Andrea Fossati, Engin Tola, Michael Calonder, Germán González Serrano, Aydin Varol, Karim Ali, Engin Türetken, Aurélien Lucchi, Horesh Beny Ben Shitrit, Roberto Rigamonti, Tomasz Trzcinski, Xinchao Wang, Xiaolu Sun, Przemyslaw Rafal Glowacki, Tien Dat Ngo, Carlos Joaquin Becker, Amos Sironi, Alberto Crivellaro, Artem Rozantsev, Bugra Tekin, Timur Bagautdinov, Pierre Bruno Baqué, Ksenia Konyushkova, Andrii Maksai, Agata Justyna Mosinska, Róger Bermúdez Chacón, Weizhe Liu, Kaicheng Yu, Pamuditha Udaranga Wickramasinghe, Isinsu Katircioglu, Edoardo Remelli, Jan Bednarík, Krishna Kanth Nakka, Shuxuan Guo, Semih Günel, Vidit Vidit, Sena Kiciroglu, Krzysztof Maciej Lis, Deblina Bhattacharjee, Doruk Oner, Benoît Guillard, Michal Jan Tyszkiewicz, David Honzátko, Nikita Durasov, Ren Li, Davydov Andrey, Zhen Wei Past EPFL PhD Students as codirector Chen Zhao Courses Computer vision CS-442 Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors.We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability. Introduction to machine learning CS-233 Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. Awards AIAA Award for Best Scientific Paper American Institute of Aeronautics and Astronautics 2024 Koenderink Prize,, Online, 2020. European Conference on Computer Vision 2020