Francois Rameau is an Assistant Professor at the State University of New York (SUNY) in Korea.
He received his Ph.D. in Vision and Robotics from the University of Burgundy (France) in 2014 under the joined supervision of Prof. Cedric Demonceaux, Prof. Desire Sidibe, and Prof. David Fofi. Later, he joined the Korea Advanced Institute of Science and Technology (KAIST, South Korea), first as a postdoctoral researcher and then as a Research Professor under the KRF fellowship program (2017-2023).
Dr. Rameau's research interests center around 3D Computer Vision, Machine Learning, and Collaborative Robotics. He has an accomplished research track record, with numerous publications in top-tier venues.
Professor Rameau's research focuses on developing innovative computer vision and machine learning strategies for connected and autonomous driving. Aside from purely vehicular-based applications, he led research on other fundamental topics in computer vision, such as visual tracking, camera calibration, 3D reconstruction, 3D point cloud processing, computational photography, and more.
These works have been presented in the most prestigious venues of various fields such as machine learning (AAAI, ICLR), robotics (IROS, ICRA, RSS), computer vision (ICCV, ECCV, CVPR, PAMI, IJCV, CVIU), augmented reality (ISMAR, TVCG), intelligent vehicle (IV), and multimedia (ACMM).