ML@GT Virtual Seminar: Jia-Bin Huang, Virginia Tech

Event Details
  • Date/Time:
    • Wednesday December 2, 2020
      12:15 pm - 1:15 pm
  • Location: Bluejeans Events - Virtual
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Allie McFadden

allie.mcfadden@cc.gatech.edu

Summaries

Summary Sentence: Jia-Bin Huang, an assistant professor at Virginia Tech, will give a virtual seminar on machine learning on December 2, 2020. 

Full Summary: No summary paragraph submitted.

Jia-Bin Huang, an assistant professor at Virginia Tech, will give a virtual seminar on machine learning on December 2, 2020. 

Register at: https://primetime.bluejeans.com/a2m/register/kgjkcdxt

Talk title:

Bringing Visual Memories to Life

Abstract:

Photography allows us to capture and share memorable moments of our lives. However, 2D images appear flat due to the lack of depth perception and may suffer from poor imaging conditions such as taking photos through reflecting or occluding elements. In this talk, I will present our recent efforts to overcome these limitations. Specifically, I will cover our recent for creating compelling 3D photography, removing unwanted obstructions seamlessly from images or videos, and estimating consistent video depth for advanced video-based visual effects. I will conclude the talk with some ongoing research and research challenges ahead. 

Speaker

- Jia-Bin Huang, Assistant Professor, Virginia Tech

- Website: https://filebox.ece.vt.edu/~jbhuang/

Bio:

Jia-Bin Huang is an Assistant Professor in the Bradley Electrical and Computer Engineering at Virginia Tech. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. His research interests include computer vision, computer graphics, and machine learning with a focus on visual analysis and synthesis with physically grounded constraints. His research received the best student paper award in IAPR International Conference on Pattern Recognition (ICPR) for the work on computational modeling of visual saliency and the best paper award in the ACM Symposium on Eye Tracking Research & Applications (ETRA) for work on learning-based eye gaze tracking. Huang is the recipient of the NSF CRII award, Samsung Global Outreach Award, 3M non-tenured faculty award, and a Google faculty research award. 

Additional Information

In Campus Calendar
Yes
Groups

College of Computing, Computational Science and Engineering, GVU Center, Machine Learning, ML@GT, OMS, School of Computational Science and Engineering, School of Computer Science, School of Interactive Computing

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: ablinder6
  • Workflow Status: Published
  • Created On: Sep 22, 2020 - 1:21pm
  • Last Updated: Nov 18, 2020 - 9:23am