Regular biography
Pascal Fua is a Full Professor in the Department of Computer Science at École Polytechnique Fédérale de Lausanne. His research interests include computer vision, machine learning, biomedical imaging, and computer-assisted engineering. He has authored over 400 publications in refereed journals and conferences. Fua has received several ERC grants and is an IEEE Fellow. He has served as an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence and has been involved in numerous academic conferences as a program committee member, area chair, and program chair. He has also co-founded three spinoff companies.
Scholar-generated biography
Pascal Fua is a professor in Computer Science at EPFL, specializing in Computer Vision, Machine Learning, Computer Assisted Engineering, and Biomedical Imaging. His research focuses on developing efficient and accurate methods for image analysis, object tracking, and 3D reconstruction. He has contributed significantly to superpixel segmentation, feature description, and robust feature matching. His work includes advancements in monocular 3D human pose estimation, multicamera people tracking, and real-time 6D object pose prediction. Fua's research emphasizes the integration of machine learning techniques with traditional computer vision tasks to improve performance and applicability in real-world scenarios.