Mon, Nov 15, 2021 @ 02:00 PM - 03:30 PM
PhD Candidate: Bowen Zhang
Title: Visual Representation Learning with Structural Prior
Monday: Nov 15, 2pm
Committee members: chair: Prof. Leana Golubchik (CS dept.), Prof. Fei Sha, Prof. Haipeng Luo (CS dept.), Prof. Ram Nevatia (CS dept.), Prof. Laurent Itti (CS dept.), Prof. Shri Narayana (EE dept.).
Abstract: Artificial intelligence is about designing an intelligent agent that is able to perceive and interact with the environment. The fundamental ability of an intelligent agent is to perceive the visual world. As humans, we understand the visual world through images and videos. For example, images are convenient for describing an object or a scene. Videos are helpful for illustrating an action, an event, or a story. Designing an intelligent agent to understand image and video is an important and not yet solved problem. In this thesis proposal, I demonstrate a set of structural visual representation learning methods developed through my Ph.D. study, which enable the intelligent agent to understand the surrounding visual world through images and videos.
WebCast Link: https://usc.zoom.us/j/9711928888
Audiences: Everyone Is Invited
Contact: Lizsl De Leon