An #SFU lab is developing AI-enabled post-production tools with the aim of making the Canadian movie industry an even stronger player in the global entertainment space. Yağız Aksoy @sfu_compsci ow.ly/ZGbO50SxjEC

Our amazing roster of speakers: Dina Machuve Anurag Arnab Abeba Birhane Karteek Alahari Ke Li 🍁 Yuki Hazel Doughty Sara Beery Raoul de Charette Helge Rhodin @timnitGebru (@dair-community.social/bsky.social) @clairemonteleoni Celia Cintas Negar Rostamzadeh @ICLR Mahmoud Afifi Girmaw Abebe Tadesse Alyosha Efros

Code and data for PAPR in Motion have now been released: github.com/niopeng/PAPR-i… You can now generate your own 3D interpolations!

My first exposure to generative models was through Geoffrey Hinton’s course at University of Toronto, and my very first research project was on restricted Boltzmann machines as an undergrad in Zemel Group. So thrilled and excited to see Hopfield networks and Boltzmann machines recognized with

Congrats to the #NobelPrize2024 winners for AI-driven breakthroughs in protein structure prediction! Learn how TTIC's Prof. Jinbo Xu's (Jinbo Xu) pioneering work in #deeplearning helped lay the foundation for these groundbreaking discoveries: buff.ly/4dUTzqX

Looking forward to #NeurIPS2024, happening right here in #Vancouver, BC, from Dec. 10-15. Simon Fraser University Computing Science is proud to have 7 papers at this year's conference! ow.ly/jqaN50UnYxy

It breaks my heart to learn of the tragic loss of a brilliant AI scientist and colleague. In honouring his memory, here's hoping that we as a community will engage in more open conversations around mental health and support one another. Many of us have come face to face with

This looks like a game-changer for robotics and imitation learning! Diffusion policy is hard to run in real-time; the paper proposes IMLE policy, which can run at >110 Hz (a 61x speedup), use 38% less data and achieve better success rates. Note: I wasn't involved in this work,

Are Diffusion and Flow Matching the best generative modelling algorithms for behaviour cloning in robotics? ✅Multimodality ❌Fast, Single-Step Inference ❌Sample Efficient 💡 We introduce IMLE Policy, a novel behaviour cloning approach that can satisfy all the above. 🧵👇

Interested in how to generate realistic human trajectories using diffusion with just one step🤔? This is now possible with MoFlow, a one-step Flow Matching method accompanied with Implicit Maximum Likelihood Estimation based distillation. 🚀 Join us at #CVPR2025 in Nashville!