Mido Assran
RESEARCH SCIENTIST | MONTREAL, CANADA
Mido is a Research Scientist in Fundamental AI Research (FAIR). Previously, he obtained his PhD in Electrical and Computer Engineering from McGill University and Mila, the Quebec AI Institute. Mido's current research is focused on enabling computers to develop common sense perceptual models of our world for reasoning and planning in the physical world, specifically, through self-supervised learning from video. In the past, Mido has also worked on parallelizing deep reinforcement learning, and large-scale numerical optimization.
Research Areas
Mido's Work
Mido's Publications
June 11, 2025
RESEARCH
COMPUTER VISION
A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs
Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mido Assran
June 11, 2025
June 11, 2025
ROBOTICS
RESEARCH
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
June 11, 2025
April 17, 2025
ROBOTICS
RESEARCH
Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Mike Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
April 17, 2025
February 15, 2024
CORE MACHINE LEARNING
Revisiting Feature Prediction for Learning Visual Representations from Video
Adrien Bardes, Quentin Garrido, Xinlei Chen, Michael Rabbat, Yann LeCun, Mido Assran, Nicolas Ballas, Jean Ponce
February 15, 2024
June 18, 2023
CORE MACHINE LEARNING
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mido Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Mike Rabbat, Yann LeCun, Nicolas Ballas
June 18, 2023
September 16, 2020
Advances in Asynchronous Parallel and Distributed Optimization
Mike Rabbat, Mido Assran, Arda Aytekin, Hamid Feyzmahdavian, Mikael Johansson
September 16, 2020
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