Endless Summer School:
CVPR 2022 Highlights

Date
Thursday, December 8, 2022
Start Time
10:00 AM
Duration
120 minutes

AI research is moving at lightning speed and it can be hard for industry-focused practitioners to keep up. Designed for a highly technical audience who wants to take their understanding of AI to the next level, Endless Summer School showcases new and interesting research from Vector's network of 700 researchers. This series delves into the latest advances in AI domains, helps to distill thousands of academic papers into the critical few insights practitioners need, and keeps technical practitioners at the cutting edge of AI research.

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Description

The Endless Summer School (ESS) session will cover highlights on exceptional state-of-the art research in computer vision selected in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022. CVPR is one of the top computer vision conferences in the world. The ESS event throws light on recent advances in video analysis, motion tracking, representation learning, segmentation and shape analysis. Furthermore, the event showcases a summary of selected papers at the CVPR conference, important takeaways, and features work of researchers who performed ground breaking research, the students will discuss their accepted work comprehensively. This session facilitates the Vector community to develop the understanding of recent advancements presented at the conference and note the key takeaways that can be implemented in research and industry.

10:00 AM

Opening remarks
Sedef Akinli Kocak
Director of Professional Development, Vector Institute

10:02 AM

Mathew Kowal, York University; Vector Institute
Talk Title: CVPR 2022 Highlights and Takeaways

11:00 AM

Joyce Yang, University of Toronto; Vector Institute
Wei-Chiu Ma, Massachusetts Institute of Technology, Waabi
Talk Title: Virtual Correspondence: Humans as a Cue for Extreme-View Geometry

11:20 AM

James Lucas, University of Toronto; NVIDIA Toronto Lab; Vector Institute
Talk Title: How Much More Data Do I Need? Estimating Requirements for Downstream Tasks

11:40 AM

Olga Veksler, University of Waterloo; Vector Institute
Talk Title: Sparse Non-local CRF

12:00 PM

Closing remarks and adjourn
Matthew Kowal
Matthew Kowal
PhD Student
York University; Vector Institute
Joyce Yang
Joyce Yang
PhD Student and Researcher
University of Toronto; Vector Institute; Waabi
Wei-Chiu Ma
Wei-Chiu Ma
PhD Candidate
Massachusetts Institute of Technology; Waabi
James Lucas
James Lucas
Research Scientist
NVIDIA; University of Toronto; Vector Institute
Olga Veksler
Olga Veksler
Professor
University of Waterloo; Vector Institute

 

This event is open to Vector Sponsors, Vector Researchers, and invited health partners only. Any registration that is found not to be a Vector Sponsor, Vector Researcher or invited health partner will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact events@vectorinstitute.ai with any questions.