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Cédric Rommel 🦋 @ICLR 🇧🇷 @ccrommel

Research Scientist at @Meta | AI and neural interfaces | Interested in data augmentation, generative models, geometric DL, brain decoding, human pose, …

Joined October 2015
  • Tweets 313
  • Following 893
  • Followers 446
42 Photos and videos
Inferring 3D human poses from video is highly ill-posed because of depth ambiguity. Our work accepted to #NeurIPS2024, ManiPose, gets one step closer to solving this, by leveraging prior knowledge about poses topology and cool multiple-choice learning techniques.
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Cédric Rommel 🦋 @ICLR 🇧🇷 retweeted
David Sussillo
@SussilloDavid
9 Jan 2025
Human-Computer Input via a Wrist-Based sEMG Wearable meta.com/blog/quest/surface-…

Human-Computer Input via an sEMG Wristband | Meta Quest Blog

Today, we’re releasing a white paper that provides background on sEMG, describes its potential as a new input paradigm for human-computer interaction, and explains how sEMG sensing and its device...

meta.com
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Thanks for the nice workshop ! It was great to be able to share our work, listen to great talks and have many interesting conversations !
Symmetry and Geometry in Neural Representations@neur_reps
14 Dec 2024
Our first contributed talk is from Cédric Rommel on "ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation".
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Yet another great work on multi-hypothesis learning by @VLetzelter accepted to #NeurIPS2024 ! In this paper they show that simulated annealing can help to make the winner-takes-all loss more stable and robust, demonstrating its useful in many ill-posed real-world applications!
Victor Letzelter@VLetzelter
25 Nov 2024
Working on ill-posed machine learning tasks, interested in multi-heads neural networks and data #uncertainty quantification ? Sharing here our latest research, which will be presented at @NeurIPSConf in December.
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Our team at @RealityLabs is also open-sourcing two EMG datasets at #NeurIPS2024 : emg2pose and emg2qwerty Check it out if you want to try predicting hand poses and typed text from a new challenging data modality!
Jesse Marshall@jessedmarshall
5 Dec 2024
emg2pose: Hand pose estimation anywhere with neuromotor interfaces A Dataset and Benchmark @ Neurips 2024 arxiv.org/abs/2412.02725v1 See blog: ai.meta.com/blog/open-sourci…
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Inferring 3D human poses from video is highly ill-posed because of depth ambiguity. Our work accepted to #NeurIPS2024, ManiPose, gets one step closer to solving this, by leveraging prior knowledge about poses topology and cool multiple-choice learning techniques.
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If you’re at #Neurips2024 next week, come meet us in poster session 3 on Thu 12 Dec 11 a.m.! Or at our oral presentation during the @neur_reps workshop on Saturday 14th! Paper: arxiv.org/abs/2312.06386 Github: github.com/cedricrommel/mani…
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✨Joint work with the amazing @VLetzelter , @nemka_ , @RenaudMarlet, @quobbe , @ptrkprz and Eduardo Valle✨
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Oh boy, something definitely happened in 2022 ! 😅
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If you are at #ICML2024 , come chat with @VLetzelter , David and I about conditional density estimation and ill-posed ML tasks this afternoon ! Poster session 4 - 1:30pm - poster # 1506
Victor Letzelter@VLetzelter
26 Jun 2024
Interested in ill-posed learning tasks, uncertainty prediction, conditional density estimation or multi-head deep neural networks ? In our new paper, accepted at #ICML24, we tackle these challenges by exploring the Winner-Takes-All (WTA) training scheme. [1/n]
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I’ll be attending #ICML2024 next week to present this excellent work led by @VLetzelter ! Looking forward to chat about ill-posed machine learning tasks, data augmentation, pose estimation, eeg decoding or anything else ML at the poster session or around some coffee !
Victor Letzelter@VLetzelter
26 Jun 2024
Interested in ill-posed learning tasks, uncertainty prediction, conditional density estimation or multi-head deep neural networks ? In our new paper, accepted at #ICML24, we tackle these challenges by exploring the Winner-Takes-All (WTA) training scheme. [1/n]
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Cédric Rommel 🦋 @ICLR 🇧🇷 retweeted
Victor Letzelter@VLetzelter
26 Jun 2024
Interested in ill-posed learning tasks, uncertainty prediction, conditional density estimation or multi-head deep neural networks ? In our new paper, accepted at #ICML24, we tackle these challenges by exploring the Winner-Takes-All (WTA) training scheme. [1/n]
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About time !! :) I remember how great pyannote was already 4 years ago and can only recommend ! Congrats on the new company @hbredin ! Excited to see the new future of @pyannoteAI !
Hervé "pyannote" Bredin@hbredin
30 Apr 2024
Let's go, @pyannoteAI !
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I’m excited to share that I joined Meta this week as a research scientist. I’ll be working again on AI for neural decoding with the amazing @agramfort and @ZaccharieRamzi ! I’m looking forward to contributing to the future of neural interfaces !
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