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Seminar : Computer vision at IVUL overview : Video understanding, vision for automation, and deep learning fundamentals


I will present the current research activities in our « Image and Video Understanding Laboratory » (IVUL – at KAUST (King Abdullah University of Science and Technology). The applications will range from video understanding to autonomous navigation, with solid fundamentals in deep learning theory. First, I will introduce the IVUL research on « Video Understanding », including pioneer work on activity proposals and localization, video retrieval and visual object tracking. Then, I will present our works on « Vision for Automation », focusing on 3D computer vision and imitation learning applied on self navigation, underlining the importance of simulation and transfer learning. Last, I will present the on-going research on « Deep Learning Fundamentals », including large scale optimization, analytical expression for neural networks and robustness to adversarial attack.