Lucas Stoffl

@LStoffl

Medical AI Postdoc @WeillCornell & @cornell_tech, PhD: @amathislab, Past: @kriegeskortelab, @ctnwaterloo, @apt_csmcr, BSc/MSc @TU_Muenchen

Joined November 2020

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Lucas Stoffl
@LStoffl
Apr 23
A clinician asks: “Does this biomarker correlate with patient outcome?” Answering it requires segmentation, measurements, code, and careful validation. We built VERITAS 👇🧵 arxiv.org/abs/2604.12144
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Lucas Stoffl
@LStoffl
Oct 1, 2024
I'm thrilled to present our paper "Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders" at #ECCV24! 🎉 We focus on self-supervised learning for action segmentation to uncover the hierarchical structure of behavior. Paper: ecva.net/papers/eccv_20… 👇🧵
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Lucas Stoffl
@LStoffl
Jul 16, 2023
Delighted that #BUCTD has been accepted at #ICCV! 🙌📚 Grateful for the exceptional teamwork and dedication of @zhoumu53, @TrackingActions, and @TrackingPlumes!
Mackenzie Weygandt Mathis, PhD
@TrackingActions
Jul 14, 2023
🍾 Super happy to say that #BUCTD was accepted to #ICCV2023! Huge congratulations to @zhoumu53, @LStoffl & @TrackingPlumes, it was so great to work with you all🙏🎉 🥂 🇨🇭@EPFL_en @Brainmind_EPFL @ICepfl @epflSV ⬇️ Details below!
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Lucas Stoffl
@LStoffl
Mar 24, 2021
Super excited to share my first paper as a PhD student!! Big thanks to my wonderful co-authors @vmaxmc2 and @TrackingPlumes! So if you are interested in the first end-to-end trainable method for multi-instance pose estimation, check it out! 😃 arxiv.org/abs/2103.12115
A. Mathis Group
@amathislab
Mar 24, 2021
We developed an end-to-end trainable multi-instance pose estimation model with transformers -arxiv.org/abs/2103.12115 - great work by PhD student @LStoffl and Master's student @vmaxmc2!!!