Anqi Joyce Yang

I am a Ph.D. student in the Machine Learning Group at the University of Toronto, advised by Prof. Raquel Urtasun. I am also a researcher at Waabi Innovation and a member of the Vector Institute. Previously I completed my M.Sc. in the same group, and my B.Sc. in Computer Science at the University of Waterloo, with a minor in Combinatorics and Optimization.

My general research interests involve computer vision, machine learning and robotics.

Email / Github / Google Scholar / Twitter

Research

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry

Wei-chiu Ma, Anqi Joyce Yang, Shenlong Wang,
Raquel Urtasun, Antonio Torralba
CVPR, 2022
[Paper][arXiv] [video (1.5 mins)][video (5 mins)]

We use learned shape priors to establish "virtual correspondences" and match images with little or no overlaps.

Asynchronous Multi-View SLAM

Anqi Joyce Yang*, Can Cui*, Ioan Andrei Bârsan*,
Raquel Urtasun, Shenlong Wang
ICRA, 2021
[Paper][Supplementary][arXiv] [video]

We propose a general framework and a dataset for solving visual Simultaneous Localization and Mapping (SLAM) with multiple asynchronous cameras.

Education

University of Toronto Jan 2021 - Present
Ph.D. Student in Computer Science, Advisor: Prof. Raquel Urtasun

University of Toronto Sept 2019 - Jan 2021
M.Sc. in Computer Science, Advisor: Prof. Raquel Urtasun

University of Waterloo Sept 2015 - Aug 2019
B.Sc. in Computer Science, Combinatorics and Optimization minor

Work Experience

Waabi Innovation Inc. | Toronto, ON, Canada Mar 2021 - Present
Researcher
Full-time researcher in autonomous driving

Uber Advanced Technologies Group | Toronto, ON, Canada Sept 2019 - Feb 2021
Research Scientist
Full-time researcher in autonomous driving, with a focus on localization and mapping systems

Pixar Animation Studios | Emeryville, CA, USA Sept - Dec 2018
Core Engineering Intern
Built post-processing shaders for ambient occlusion, depth of field and motion blur

Uber Advanced Technologies Group | Toronto, ON, Canada May - Aug 2018
Research Intern
Researched on attention-based matching to boost storage efficiency in localization and mapping

Google | Mountain View, CA, USA Jan - Apr 2018
Software Engineering Intern
Key stakeholder to the successful launch of the new Google Code Jam platform

Google | Waterloo, ON, Canada May - Aug 2017

Engineering Practicum Intern
Developed a machine learning system to classify malicious ads with hand-engineered features

Ontario Institute for Cancer Research | Toronto, ON, Canada May - Aug 2016
Software Engineering Intern
Wrote a job-scheduler specific driver for Boutros Lab’s high performance computing interface