Toronto Vision Seminar
Toronto Vision Seminar
Embedded Files
The Toronto Vision Seminar is a monthly seminar series in computer vision that aims to (1) gather academic and industry researchers in vision from the Greater Toronto Area and (2) strengthen ties between researchers within the vision community in Canada and internationally. Seminar talks are delivered primarily in person by domestic and international researchers from academia and industry. Seminar topics span the areas of computer vision, applied mathematics, optimization, and machine learning and may include, for example, perception, generative modeling, neural representations, 3D reconstruction, computational photography, plenoptic imaging, and light transport analysis. Attendees include university students and researchers, faculty, and industry researchers.
Organizers
Organizers
Sponsors
2024–2025 Schedule
2024–2025 Schedule
Shekoofeh Azizi
Shekoofeh Azizi
Google DeepMind
May 14, 2025
Laura Waller
Laura Waller
UC Berkeley
May 5, 2025
"Computational Aberration Correction"
Sven Dickinson
Sven Dickinson
University of Toronto
April 23, 2025
“Symmetry in Human and Computer Vision: a Case Study in Scene Perception”
Srinivas Narasimhan
Srinivas Narasimhan
Carnegie Mellon University
April 11, 2025
“Computer Vision with Light, Sound and Heat”
Aaron Hertzmann
Aaron Hertzmann
Adobe Research
April 2, 2025
“Toward a Theory of Perspective Perception in Pictures”
Andrea Taglisacchi
Andrea Taglisacchi
Simon Fraser University
February 19, 2025
“Representation for Differentiable Inverse Rendering”
Roberto Abraham
Roberto Abraham
University of Toronto
November 27, 2024
“Crazy Telescopes, Ghostly Galaxies, and the Invisible Universe”
Mohammad Norouzi
Mohammad Norouzi
Ideogram
November 6, 2024
“Diffusion Models and the Future of Creative Expression”
Kristina Monakhova
Kristina Monakhova
Cornell University
October 16, 2024
“Trustworthy and adaptive extreme low light imaging”
Mihal Irani
Mihal Irani
Weizmann Institute
September 3, 2024
“Deep Internal learning” – Deep Learning without prior examples
2023–2024 Schedule
2023–2024 Schedule
Katerina Fragkiadaki
Katerina Fragkiadaki
Carnegie Mellon University
April 10, 2024
“Systems 1 and 2 for Robot Learning”
Ellen Zhong
Ellen Zhong
Princeton University
November 22, 2024
“Machine learning for determining protein structure and dynamics from cryo-EM images”
Page updated
Google Sites
Report abuse