Join us on Tuesday for our next (virtual) meeting with Dr. Uttaran Bhattacharya: a Research Scientist at Adobe, alumnus of the University of Maryland, and winner of ACM's MIG 2022 Best Paper Award.
During the session, Dr. Bhattacharya will delve into the intricacies of human motion recognition: its applications, challenges, and cutting-edge advancements. This presentation is an amazing opportunity to learn about how computers recognize humans whether you are a freshman college student or a seasoned researcher. Make sure to RSVP below so we can get an accurate count of attendees. We are looking forward to seeing everybody and learning more about how AI/ML and other techniques can be used to analyze human motion!
March 12, 7-8pm
Zoom: https://umd.zoom.us/j/2056242544?omn=91788681648
RSVP: https://forms.gle/bjR4xMFJQrUFzuma9
From https://uttaranb127.github.io: I am a Research Scientist at Adobe Inc. I completed my Ph.D. in Computer Science at the University of Maryland, College Park, USA, where I was advised by Dr. Dinesh Manocha. My research interests span the domains of affective computing and human motion recognition and synthesis. I am currently working on automated techniques to generate and edit multimodal content consisting of text, images, and videos. During my previous internship at Google Research in Mountain View, I developed automated techniques to generate 3D animations of co-speech human facial expressions and body gestures corresponding to different emotions in a variety of social contexts. I have also worked as an intern at Adobe Research in San Jose, on novel problems in automated video editing and highlight detection from videos. Before coming to Maryland, I completed my Master of Engineering and then worked one year as a research associate with Dr. Venu Madhav Govindu at the Department of Electrical Engineering, Indian Institute of Science, where I developed efficient and robust algorithms for robust large-scale 3D reconstructions of objects and scenes from RGB images and raw depth maps.