Abstract

People's ways of seeing and recording the world have dramatically changed last two decades. Countless digital eyes cover all the major world events, and people nowadays rely on smartphones to capture and record their daily lives. However, missing information will inevitably happen due to hardware or environmental limitations such as camera sensors or environmental occlusion. In this talk, I will briefly introduce how to recover the missing information in our daily images and videos by teaching the machines or training the networks to retrieve the missing information.

Bio.

Yu-Lun Liu is a fifth-year Ph.D. candidate working with Yung-Yu Chuang in the CSIE department at National Taiwan University. He works on problems in computer vision, machine learning, and multimedia. He was a senior algorithm development engineer at MediaTek Inc., where he worked on computational photography, computer vision, and machine learning. He was also interning at Meta Reality Labs as a research scientist intern and worked on 3D-related research. He did his undergrad and Masters at National Chiao Tung University.

All faculty and students are welcome to join.