ML@GT to Present Diverse Research Interests at CVPR 2020

Copy of ML@GT at CVPR 2020

For computer vision fans, the Computer Vision and Pattern Recognition (CVPR) conference is a significant annual event, regularly drawing thousands of attendees and paper submissions. The  Georgia Institute of Technology had nine papers by 33 authors accepted in the conference, taking place online this year starting June 14.

Accepted papers covered a wide range of topics within computer vision such as improving assistive robotics, visual question answering, and identifying where people in videos are looking.

Georgia Tech also participated by organizing four workshops; Visual Question Answering and Dialog Workshop, Learning with Limited Labels, UG2 Challenge, and the Embodied AI Workshop.

Machine Learning Center at Georgia Tech (ML@GT) and School of Interactive Computing faculty members Judy Hoffman and James Hays served as area chairs.

“ML@GT is proud to be an interdisciplinary center with researchers from across campus working collaboratively on projects. We are pleased to see that work recognized and discussed at a conference as esteemed as CVPR,” said Irfan Essa, ML@GT director.

CVPR is highly regarded among students, academics, and industry researchers because of its high quality and low cost. Originally scheduled to take place in Seattle, Wash., the conference has been moved entirely online due to the coronavirus pandemic. The conference will take place June 14-19th.

Hear from the authors about their papers at


Press Contact:

Allie McFadden

Communications Officer

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