Virtual VASC:  https://cmu.zoom.us/j/249106600

Abstract:  Photography allows us to capture and share memorable moments of our lives. However, 2D images appear flat due to the lack of depth perception and may suffer from poor imaging conditions such as taking photos through reflecting or occluding elements. In this talk, I will present our recent efforts to overcome these limitations. First, I will introduce an algorithm for creating compelling 3D photography. It provides a dramatically more immersive experience than traditional 2D photography: almost lifelike in Virtual Reality, and even to some degree on normal flat displays when displayed with parallax. Next, I will present an approach for removing unwanted obstructions, such as window reflections, fence occlusions, or raindrops, to recover the underlying clean image. I will conclude my talk with future challenges and directions.

Bio:  Jia-Bin Huang is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He received a B.S. degree in Electronics Engineering from National Chiao-Tung University, Hsinchu, Taiwan, and his Ph.D. degree in the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. His research interests include computer vision, computer graphics, and machine learning. He is the recipient of a Google Faculty Award, SAMSUNG Global Outreach Award, and an NSF CRII Award.

Homepage:  https://filebox.ece.vt.edu/~jbhuang/