Dr. Vincent Lepetit is a Full Professor at the LaBRI, University of Bordeaux. He also supervizes a research group in Computer Vision for Augmented Reality at the Institute for Computer Graphics and Vision, TU Graz. He received the PhD degree in Computer Vision in 2001 from the University of Nancy, France, after working in the ISA INRIA team. He then joined EPFL where he became a founding member of the Computer Vision Laboratory. He became a Professor at TU Graz in February 2014, and at University of Bordeaux in January 2017. His research is at the interface between Machine Learning and 3D Computer Vision, with application to 3D hand pose estimation, feature point detection and description, and 3D object or camera registration from images. In particular, he introduced with his colleagues methods such as Ferns, BRIEF, LINE-MOD, and DeepPrior for feature point matching and 3D object recognition. He often serves as area chair and program committee member of major vision conferences (CVPR, ICCV, ECCV). He is an editor for the International Journal of Computer Vision (IJCV), the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), and the Computer Vision and Image Understanding (CVIU) journal. He is also a senior member of the Institut Universitaire de France.
Deep Learning for 3D Scene Understanding from Images
3D scene understanding from images is a fundamental problem in Computer Vision, with applications to robotics and augmented reality. Significant progress has been made recently over the last years, mostly thanks to the development of Deep Learning. I will present several works we recently developed in this direction, for 3D object recognition and pose estimation for rigid and articulated objects, 3D object reconstruction, occlusion handling, room layout estimation, and domain transfer for 3D problems.