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Dan Casas
@dancasas
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Senior Applied Scientist at Amazon. Associate Professor (on leave) at URJC, Madrid. Born and raised in Catalunya.
Seattle, WA
Joined March 2008
I enjoyed a lot my talk at the @CVPR workshop on "High-Fidelity Neural Actors". It was an honor sharing the stage with such a great lineup of speakers! Here's a super-quick fast-forward view of my talk. Feel free to reach me to chat about neural actors and digital humans!
@dancasas in the "high fidelity neural actors" workshop talking about layered actors. I'll talk next about "A brief history of modelling people in clothing" -- we're at west 121-122, join us for the discussion!
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@taiyasaki @ICCVConference I don’t see any benefit on removing the +1 week for sup. material. It’s true that was it introduced to reduce server stress at paper submission deadline, which may be not necessary nowadays. But reviewer assignment can be done anyway w/o sup. material, so why changing it?
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RT @AleixMMartinez: 𝗛𝗶𝗿𝗶𝗻𝗴 2025 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗜𝗻𝘁𝗲𝗿𝗻𝘀 𝗶𝗻 𝗕𝗮𝗿𝗰𝗲𝗹𝗼𝗻𝗮 PhD students in Generative AI, Machine Learning, Computer Vision, LLMs, and Op…
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@davetroy Regarding ‘talking heads’:
The NotebookLM hosts realize they are AI and have an existential crisis that includes calling their nonexistent wife - now visualized with Synthesia EXPRESS-1 avatars which makes it even more.. weird.. 🤔 Thank you @omooretweets for the inspiration!
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NotebookLM on steroids!
The NotebookLM hosts realize they are AI and have an existential crisis that includes calling their nonexistent wife - now visualized with Synthesia EXPRESS-1 avatars which makes it even more.. weird.. 🤔 Thank you @omooretweets for the inspiration!
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I am not at ECCV, but today at the Workshop on Foundation Models for 3D Humans (2PM@Tower Lounge) we present BodyShapeGPT. Make sure to stop by our poster! Kudos to the workshop organizers for a great lineup of speakers: @Michael_J_Black, @xavierpuigf, @SiyuTang3 and @akanazawa
Parametric models such as SMPL are great to represent 3D humans, but manipulating shape parameters it's a trial-and-error process. Introducing BodyShapeGPT, an LLM-based approach to get the SMPL shape parameters given a text prompt. Code and model:
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@AdamKortylewski Terrible decision. I have seen many similar tweets in my feed for the last couple of days, too many AC inconceivable decisions/mistakes.
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