Jia-Bin Huang, an assistant professor at Virginia Tech, will give a virtual seminar on machine learning on December 2, 2020.
Bringing Visual Memories to Life
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. Specifically, I will cover our recent for creating compelling 3D photography, removing unwanted obstructions seamlessly from images or videos, and estimating consistent video depth for advanced video-based visual effects. I will conclude the talk with some ongoing research and research challenges ahead.
- Jia-Bin Huang, Assistant Professor, Virginia Tech
- Website: https://filebox.ece.vt.edu/~jbhuang/
Jia-Bin Huang is an Assistant Professor in the Bradley Electrical and Computer Engineering at Virginia Tech. He received his Ph.D. degree from 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 with a focus on visual analysis and synthesis with physically grounded constraints. His research received the best student paper award in IAPR International Conference on Pattern Recognition (ICPR) for the work on computational modeling of visual saliency and the best paper award in the ACM Symposium on Eye Tracking Research & Applications (ETRA) for work on learning-based eye gaze tracking. Huang is the recipient of the NSF CRII award, Samsung Global Outreach Award, 3M non-tenured faculty award, and a Google faculty research award.