Incremental Object Learning from Contiguous Views
I lead the neural networks vision group at Vicarious . I completed my PhD with Jim Rehg at the School of Interactive Computing , Georgia Tech.
What excites me is that we know of at least one exceptional vision system: the brain - which theoretically gives Artificial Intelligence researchers a system to mimic. Interestingly, some neuroscientists have shown the visual cortex relying heavily on motion to recognize patterns [1] . This is why I like working with video data. We humans have developed our perception from a temporally continuous stream of information - not from individual images - so why should the machines we make be any different? Over
Over the years, I have worked on segmentation and occlusion . I am currently intrigued by problems where improvements in combinatoric optimization can help either make problems tractable or reveal more information about video sequences.
Incremental Object Learning from Contiguous Views