Siddharth Choudhary

53 posts

Siddharth Choudhary

Siddharth Choudhary

@siddharth0708

multimodal foundation models @ amazon agi · perceive → imagine → act · gatech cs phd · ex–magic leap

SF Bay Area Katılım Kasım 2013
974 Takip Edilen282 Takipçiler
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Siddharth Choudhary
Siddharth Choudhary@siddharth0708·
Presenting MeasureNet, a computer vision based model for precise Waist-to-Hip Ratio (WHR) measurement. Joint work with Ganesh Iyer (@__epiception__ ), Brandon Smith, Jinjin Li, Mark Sippel, Antonio Criminisi and Steven B. Heymsfield. (1/8)
npj Digital Medicine@npjDigitalMed

New article! Read Development and validation of an accurate smartphone application for measuring waist-to-hip circumference ratio in npj Digital Med dlvr.it/SvwjD0

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Siddharth Choudhary
Siddharth Choudhary@siddharth0708·
@iamgrigorev Did you also try MuonH? It does show benefit in small scale runs for me but I haven't scaled it up.
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George Grigorev
George Grigorev@iamgrigorev·
lol there’s been so many optimizers this week I can’t test them all. (btw Aurora doesnt work on large scale)
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Rohit
Rohit@rohitrango·
We present SplatArmor, a fully articulated Gaussian splatting model for human avatars. Our model includes both rigid and non-rigid skinning components, and a Neural Color Field for implicit color regularization. Project page: jenaroh.it/splatarmor
Rohit tweet mediaRohit tweet media
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Siddharth Choudhary
Siddharth Choudhary@siddharth0708·
With 1200 participants, we've validated the MeasureNet app's accuracy and reliability. We're bridging the gap between clinical measurements and at-home assessments, making WHR monitoring more accessible for everyone. (8/8)
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Siddharth Choudhary
Siddharth Choudhary@siddharth0708·
In order to solve this issue, our team developed MeasureNet that accurately measures WHR and other key body metrics using computer vision. Say goodbye to inconsistent self-measurements! (7/8)
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Rohit
Rohit@rohitrango·
rebuttal.pdf uploaded ✅ rebuttal.mp3 uploaded ✅ Whats more fun than writing a rebuttal? Making an AI-generated diss track for the #ICCV2023 reviewers (ft. @atemyipod ) it's amazing how effortless this is to make #iccv soundcloud.com/rohit-kumar-je…
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Papers with Code
Papers with Code@paperswithcode·
🎉 Introducing... Methods! We are now tracking 730+ building blocks of machine learning: optimizers, activations, attention layers, convolutions and much more! Compare usage over time and explore papers from a new perspective. Browse the catalogue here: paperswithcode.com/methods
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Josh Naylor
Josh Naylor@JoshNaylor·
A new experimental feature in the @magicleap OS 0.98.10 update; Found Objects. Developers can access this information which makes me want to make a bridge-building game across my living room. #magicleapdevs.
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digital tim ARCHIVES
digital tim ARCHIVES@timstutts·
@tokufxug thanks for sharing this exciting experimental platform feature! a team of engineers and designers did a lot of work to bring it to light in the latest release. here’s another video of it in action.
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