Seminars and Events
Artificial Intelligence Seminar
Unified-IO: A Unified Model for Vision, Language and Multi-Modal Tasks
Event Details
In this talk, I will talk about Unified-IO, which is the first neural model to perform a large and diverse set of AI tasks spanning classical computer vision, image synthesis, vision-and-language, and natural language processing (NLP). Unified-IO achieves this broad unification by homogenizing every task’s input and output into a sequence of tokens drawn from a discrete and finite vocabulary. For more information, please refer to https://unified-io.allenai.org/
Speaker Bio
Jiasen Lu is a Research Scientist at Allen Institute for AI. He obtained his Ph.D. at Georgia Tech, advised by Prof. Devi Parikh. His research is in computer vision, focusing on the intersection between vision and language and embodiments. He has published at major computer vision (CVPR, ICCV, ECCV), machine learning (NeurIPS, ICLR), and robotics (CORL) conferences and is a co-organizer of the first and second VQA workshop at CVPR. YOU ONLY NEED TO REGISTER ONCE TO ATTEND THE ENTIRE SERIES – We will send you email announcements with details of the upcoming speakers. Register in advance for this webinar: https://usc.zoom.us/webinar/register/WN__0VhakI6Q6i3JsasdmNWcA After registering, you will receive an email confirmation containing information about joining the Zoom webinar. The Speaker approved to be recorded for this AI Seminar talk; it will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI. Host: Mohammad Rostami POC: Alma NavaThis program is open to
all eligible individuals. Information Sciences Institute operates all of its programs and
activities consistent with the University’s Notice of Non-Discrimination. Eligibility is not
determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.