From Visual Sensing to Visual Intelligence

  • Rama Chellappa; Katsu Ikeuchi; Song-Chun Zhu | University of Maryland; Microsoft; University of California, Los Angeles

Computer vision is arguably one of the most challenging subfields of AI. To better address the key challenges, the vision research community has long been branched off from the general AI community and focused on its core problems. In recent years, we have witnessed tremendous progress in visual sensing due to big data and more powerful learning machines. However, we still lack a holistic view of how visual sensing relates to more general intelligence. This session will bring researchers together to discuss research trends in computer vision, the role of visual sensing in more integrated general intelligence systems, and how visual sensing systems will interact with other sensing modalities from a computational sense.

Series: Microsoft Research Faculty Summit