2D/3D Human/Animal Pose Estimation

Joined August 2024
4 Photos and videos
Jun 6
If you missed our FMPose3D poster during the CV4Animals Workshop, don’t miss the main conference poster session tomorrow! 😀😀😀 Details: June 6, Poster Session 3, 11:45 a.m.–1:45 p.m., ExHall F, Poster 40
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Jun 6
Our code is open source and available here: github.com/AdaptiveMotorCont… You can easily use our pretrained model or train a new model on your own data. If you try it out, run into any issues, or have any suggestions, I’d really appreciate your feedback. Feel free to reach out!
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Jun 4
Interested in how we estimate 3D poses for humans and animals using flow matching? Come check out our work, #FMPose3D, at CVPR 2026! Today at the CV4Animals Workshop poster session: 11:30 a.m.–12:30 p.m., ExHall A Looking forward to seeing you there! 😀
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Jun 4
You can find me here : Poster number 126 😁😁
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Ti retweeted
🥳 New work from my lab (@MLabofAI) just dropped on @arxiv! Measuring the shape of an animal can be highly useful for biomedical applications and for avatars 😎 We introduce *PRIMA*:🔥SOTA 2D➡️3D animal shape by @xiaoyu912huang, @TiwangCS & I! 📝 arxiv.org/abs/2606.02366
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Ti retweeted
🚨 ✨ New 3D pose estimation method from @mwmathislab! #FMPose3D allows for monocular (i.e. single camera) 2D ➡️ 3D 🔥 Led by @TiwangCS & w/@xiaoyu912huang #FMPose3D is SOTA on human & animal 3D benchmarks, & will be integrated into @DeepLabCut ⬇️👀 📝 arxiv.org/abs/2602.05755
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Ti retweeted
🐻 reID of unmarked Grizzly's in Alaskan wilderness from single images is a daunting task, but in our new work out in @CurrentBiology that is exactly what Beth Rosenberg & Mu Zhou & @TrackingPlumes! 🔥 Check out the work - many years in the making... sciencedirect.com/science/ar…
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Ti retweeted
The SMPL Body Model Team receiving the Everingham Prize Award
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Ti retweeted
I was delighted to present our latest work at @ICCVConference OpenSun3D on both building evaluation methods for video models for action recognition, and introducing #LlaVAction🌴 - a SOTA egocentric video understanding model! Project: llavaction.epfl.ch/
Join us this afternoon at our @ICCVConference workshop on Open-Vocabulary 3D Scene Understanding✨🌺 #OpenSUN3D #iccv2025 ➡️ opensun3d.github.io @FrancisEngelman @aycatakmaz @AlexDelitzas @mapo1 @TrackingActions @sainingxie @jstraub6 @ir0armeni
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21 Oct 2025
The demo is really cool! Theoretically, flow matching provides a more direct and efficient formulation compared to diffusion models.
Flow matching produces smooth, deterministic trajectories. In contrast, the sampling process of a diffusion model is chaotic, resembling the random motion of gas particles.
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18 Oct 2025
Heading to Hawaii🏝️for @ICCVConference ? You definitely won't want to miss our workshop! Interactive Human-centric Foundation Models! ⏰Oct 19 9:00 am - 5:15 pm 📍Room 317A We have @Michael_J_Black @liuziwei7 Umar Iqbal, Yuan Zhou, Evonne Ng, @AilingZeng81332 Lan Xu @akanazawa
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We are hiring for a top research software engineer to join our #DeepLabCut dev team! - do you want to contribute to a top CV package for life sciences? We are nearing 1M installations 🔥 - backend/frontend, git, python, torch exp. >2yrs req. Reach out: deeplabcut.org
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6 Mar 2025
A fantastic video for mastering Python decorators!😀 Python Decorators in 15 Minutes youtu.be/r7Dtus7N4pI?si=zpcn… 来自 @YouTube
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Ti retweeted
Replying to @TrackingActions
@TrackingActions showcased Superanimal, a single deep learning model detecting animal motion across many species and environments which can be used for animal conservation, biomedicine, and neuroscience research. #AIforHeath #AiforthePlanet
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I’m happy to support an AI Fellow at EPFL in my group! ⬇️ Aside from our applied #AI4Science work, we are excited to push on fundamental problems in #ML Here is some recent work: arxiv.org/abs/2410.10744 & sslneurips23.github.io/paper…
Join one of the strongest communities in AI in Europe. Call for applications for postdoc fellowships in all AI-related areas. Sellection at the first stage is based on the excellence of the candidate. Deadline 29th November. More info at: epfl.ch/research/funding/epf…
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🥳🍾Alexander Mathis @TrackingPlumes and Mackenzie Mathis @TrackingActions the 2024 Robert Bing Prize, with Susanne Wegener @SuseWegener 🏆 actu.epfl.ch/news/mackenzie-…
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Job alert 🚨: I’m looking for a creative, ambitious, and dedicated postdoc to join me on this quest; so many exciting questions about how cortex and sub cortical structures (including spinal cord) drive adaptive motor control. Large scale 2P (limited labs 🌎 have this tech), plus we have large scale Neuropixels tech (8 probes anyone?)… plus my lab has excellent computational students/postdocs and we work as a team 💪🚀 Please email me (CV & cover letter including why the line of work the paper outlines is a good fit with you profile).
How does sensorimotor (S1/M1) cortex support adaptive motor control?  Come find out in our latest preprint, which spans the development of a full adult forelimb model physics simulations, neural-modeling for control, complex 🐭behavior 🕹️, large-scale imaging, and of course @DeepLabCut and @CEBRA!  We hypothesized that S1 supports motor learning by computing prediction errors. To tackle this, we needed to understand what is being represented, and no studies have reported what forelimb S1 represents during learning in mice🧠🐭. Moreover, this requires modeling the body🦾: kinematics, torques, force, muscle activations, & proprioception (muscle spindles & GTOs).  After our 7 year journey, we have an answer: S1 & M1 represent muscle-level features. During learning, computational motifs map to functional types (like muscle-encoding), and neural dynamics in S1 change & encode sensorimotor prediction errors!  biorxiv.org/content/10.1101/… 🧵👇
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🚀 DLC AI Residents call for 2025! This year, we are doing something a little different to support even more underrepresented individuals 🥰 We are having in-person workshops again 🙌, & we are taking the 2025 AI Residency on the Road! 🛤️ App open now! deeplabcutairesidency.org/
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29 Sep 2024
Milan&&ECCV🤩🤩
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September means it’s the labs 7th anniversary 🤯🔥🥂🎉🍾… And we welcome three new amazing PhD students: Hossein Mirzaei @hsirm96 , Xiaohang Yu, and Ti Wang @TiwangCS ! All brilliant computer scientists ready to work on the next generation of ML & CV for Science 🔥🧠🦄
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