Machine Learning and Friends Lunch: Data-Driven Geometry Processing Without 3-D Data

Title: Data-Driven Geometry Processing Without 3-D Data

Bio: I am an Assistant Professor of Computer Science at the University of Chicago. I founded and direct 3DL (threedle!), a group of enthusiastic researchers passionate about 3-D, machine learning, and visual computing. I obtained my Ph.D. in 2021 from Tel Aviv University under the supervision of Daniel Cohen-Or and Raja Giryes. 

My research is focused on building artificial intelligence for 3-D data, spanning the fields of computer graphics, machine learning, and computer vision. Deep learning, the most popular form of artificial intelligence, has unlocked remarkable success on structured data (such as text, images, and video), and I am interested in harnessing the potential of these techniques to enable effective operation on unstructured 3-D geometric data. 

To find out more information about this event or to obtain the Zoom link, please see the event announcements from MLFL on the college email lists or contact wenlongzhao [at] cs.umass.edu (subject: MLFL%20Zoom%20Link) (Wenlong Zhao).