Select a calendar:
Filter April Events by Event Type:
Events for April 20, 2020
Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Mathew Monfort (MIT) - Towards Understanding Moments in Time
Mon, Apr 20, 2020 @ 11:00 AM - 12:00 PM
Conferences, Lectures, & Seminars
Speaker: Mathew Monfort, MIT
Talk Title: Towards Understanding Moments in Time
Series: CS Colloquium
Abstract: When people observe events they are able to abstract key information and build concise summaries of what is happening. These summaries include the important contextual and semantic information (what, where, who and how) necessary for the observer to understand the event and how it relates to their current state. With this in mind, the descriptions people generate for videos of different dynamic events can greatly improve our understanding of the key information of interest for each event and help us learn rich representations that we can apply to a number of different tasks. Going a step further, taking sequences of events into consideration allows us to build an understanding of how observations can be abstracted into contextually meaningful descriptions useful for understanding the relationships between each event and higher-level goals. In this talk I will provide an overview of recent work in the area of video understanding and highlight details of how we can learn, and utilize, detailed video representations for improving our understanding of moments in time.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Mathew Monfort is a Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He received a PhD. in computer science from the University of Illinois at Chicago in 2016, a M.S. in Computer Science from Florida State University in 2011 and a B.A. in Mathematics from Franklin and Marshall College in 2009. His research has included approached on applying machine learning methods to autonomous driving, inverse planning, video understanding and areas related to learning from human behavior.
Host: Ramakant Nevatia
Location: Seminar will be exclusively online (no in-room presentation)
Audiences: Everyone Is Invited
Contact: Assistant to CS chair