
Mehdy Dousty
@doustymehdy
Postdoctoral researcher @eceuoft @VectorInst, Eric and Wendy Schmidt AI in Science .| ML for health, Ph.D. in Biomedical Engineering @bme_uoft @VectorInst.
ID: 1272901126493483008
http://mehdydousty.com 16-06-2020 14:37:41
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242 Followers
542 Following


Absolutely thrilled teaching the "Intro to Machine Learning" ! Students' enthusiasm for learning is what makes teaching rewarding. I can't wait to see how far they'll go in this field! Huge thanks to David Fleet for being the best mentor!





What is the right benchmark for a 3D Egocentric Foundation model? We recently open-sourced a small, high quality egocentric benchmark consisting of 1) 3D surfaces 2) 3D objects. We released a simple 3D CNN baseline model called EVL: projectaria.com/research/efm3d/ Try to beat our model!

🎉🎉Excited to share that “CryoSPIN” has been accepted to #NeurIPS2024! Special thanks to my amazing collaborators and supervisors David Lindell, Marcus Brubaker, and David Fleet Paper: arxiv.org/abs/2406.10455 Webpage: shekshaa.github.io/semi-amortized… Code is also released! 🧵[1/7]
![Shayan Shekarforoush (@s_shekarforoush) on Twitter photo 🎉🎉Excited to share that “CryoSPIN” has been accepted to #NeurIPS2024!
Special thanks to my amazing collaborators and supervisors <a href="/DaveLindell/">David Lindell</a>, <a href="/marcusabrubaker/">Marcus Brubaker</a>, and <a href="/fleet_dj/">David Fleet</a>
Paper: arxiv.org/abs/2406.10455
Webpage: shekshaa.github.io/semi-amortized…
Code is also released!
🧵[1/7] 🎉🎉Excited to share that “CryoSPIN” has been accepted to #NeurIPS2024!
Special thanks to my amazing collaborators and supervisors <a href="/DaveLindell/">David Lindell</a>, <a href="/marcusabrubaker/">Marcus Brubaker</a>, and <a href="/fleet_dj/">David Fleet</a>
Paper: arxiv.org/abs/2406.10455
Webpage: shekshaa.github.io/semi-amortized…
Code is also released!
🧵[1/7]](https://pbs.twimg.com/media/GZSx8PwXEAA8P87.jpg)

Please welcome Mehdy Dousty , our latest #SchmidtAIinSci Fellow! He works on gait analysis with Dr. Ervin Sejdić and David Fleet




Released by Reality Labs at Meta Research at #ECCV2024, Nymeria is a large-scale multimodal egocentric dataset for full-body motion understanding with potential applications in VR/MR headsets, smart glasses and more. More on this work + access to the dataset ➡️ go.fb.me/0znnvb




Controllable video synthesis is critical to creating new tools for animation. Haven (Haiwen) Feng is graduating this year so keep your eye on him! He has a rapidly growing body of work that explores the properties of language, image, and video foundation models. Hire him if you can!

