@schaub_simone

Assistant Professor @TUDarmstadt, @hessian.ai | Dr. sc. @ETH_en | Computer Vision & Deep Learning @simoneschaub.bsky.social

schaubsi.github.io/
Joined May 2020
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  • Followers470
Simone Schaub retweeted
Yuki@y_m_asanoSep 21
It’s GCPR time when you randomly meet 2 of the other 3 PCs in the same Regio train😅. Ready for @gcpr_by_dagm to begin! @schaub_simone , @AlinaRoitberg
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Simone Schaub retweeted
Visual Inference Lab@visinfSep 8
[1/6] 📢 We are in Malmö at #ECCV2026 presenting 5 papers! 🎉
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Simone Schaub retweeted
Sukrut Rao@sukrutraoSep 5
How should explainability adapt in the era of foundation models? Join us on Sept 8 at the Explainable Computer Vision workshop (eXCV) at #ECCV2026! We have outstanding speakers spanning explainability, multimodal foundation models, AI safety, and AI governance. @eccvconf
Invited speakers at the eXCV workshop at ECCV 2026.

ALT Invited speakers at the eXCV workshop at ECCV 2026.

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Simone Schaub retweeted
WiCV@WiCVworkshopJul 22
📢 Deadline Extended! The submission deadline for WiCV @ #ECCV2026 has been extended to July 27 (Mon) — a few extra days to polish and submit your research. More info: sites.google.com/view/wicv-e… @eccvconf
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Simone Schaub retweeted
Sukrut Rao@sukrutraoJul 5
Have ideas for building and scaling interpretability methods? Submit to the Explainable Computer Vision Workshop (eXCV) taking place at #ECCV2026! This year, the theme is the role of XAI in the era of foundation models. @eccvconf
Call for Papers for the Explainable Computer Vision Workshop at ECCV 2026.

ALT Call for Papers for the Explainable Computer Vision Workshop at ECCV 2026.

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Simone Schaub retweeted
Sweta Mahajan@SwetaMahajan1Jun 24
Got a cool XAI idea for foundation models? 3rd Explainable Computer Vision Workshop (eXCV) taking place at #ECCV2026 in Malmö, Sweden 🇸🇪! 🔗 More Details: lnkd.in/eXNSTEe8 Deadline: Proceedings : July 7th, 2026 (23:59 CEST) Non-Proceedings : Rolling Submission!
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Simone Schaub retweeted
Visual Inference Lab@visinfJun 5
📢 [CVPR’26] Can we learn to detect, segment, and track every object in a video without human supervision?  Yes, we introduce VideoCUPS, the first unsupervised video panoptic segmentation (VPS) method: 1. Get pseudo-labels from monocular videos. 2. Train a VPS model on them. – at Denver, CO
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Visual Inference Lab@visinfJun 4
[1/6] 📢 We are in Denver at #CVPR2026 presenting 5 papers!
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🚀 We are excited to launch new Summer Lecture Series by @ELLISforEurope & @UniJena: “Explainability & Understanding of Models” • Jun 2 @hila_chefer • Jun 24 @margret_keuper • Jul 8 @schaub_simone 3 talks, 5 weeks—stay tuned! ✨ #WomenInScience #ExplainableAI #ML
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Visual Inference Lab@visinfMar 5
📢🎓 We have open PostDoc positions in Computer Vision & Machine Learning at @TUDarmstadt and hessian.AI within the Reasonable AI Cluster of Excellence — supervised by @stefanroth, @schaub_simone and many others! Apply here: career.tu-darmstadt.de/tu-da…
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📢🎓 We have open PhD positions in Computer Vision & Machine Learning at @TUDarmstadt and hessian.AI within the Reasonable AI Cluster of Excellence — supervised by @stefanroth, @schaub_simone and many others! Apply here: career.tu-darmstadt.de/tu-da…
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🎉 Today, Simon Kiefhber will present our ICCV oral paper on how to make optical flow estimators more efficient (faster inference and lower memory usage) with state-of-the-art accuracy: Talk: Tue 09:30 AM, Kalakaua Ballroom Poster: Tue 11:45 AM, Exhibit Hall I #76
Visual Inference Lab@visinf19 Oct 2025
Replying to @visinf
[2/8] Removing Cost Volumes from Optical Flow Estimators (Oral) by @SimonKiefhaber, @stefanroth, @schaub_simone 🌍 visinf.github.io/recover Talk: Tue 09:30 AM, Kalakaua Ballroom 
Poster: Tue 11:45 AM, Exhibit Hall I #76
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[2/8] Removing Cost Volumes from Optical Flow Estimators (Oral) by @SimonKiefhaber, @stefanroth, @schaub_simone 🌍 visinf.github.io/recover Talk: Tue 09:30 AM, Kalakaua Ballroom 
Poster: Tue 11:45 AM, Exhibit Hall I #76
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Simone Schaub retweeted
Justus Thies@JustusThies20 Oct 2025
📢We are looking for PhD students that want to work on various aspects of Reasonable AI (RAI). Here, you can apply for a position with a focus on observational AI (and also work with me): career.tu-darmstadt.de/HPv3.…
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[1/8] We are presenting four main conference papers, two workshop papers, and a workshop at @ICCVConference 2025 in Hawaii! 🎉🏝
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📢 Excited to share our IROS 2025 paper “Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model”! Work by Jannik Endres, @olvr_hhn, Charles Cobière, @schaub_simone, @stefanroth and @AlexAlahi.
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🎓 Looking for a PhD position in computer vision? Apply to the European Laboratory for Learning & Intelligent Systems (ELLIS) and work with @stefanroth & @schaub_simone! Join the info session on Oct 1. @ELLISforEurope @TUDarmstadt ellis.eu/news/ellis-phd-prog…

ELLIS PhD Program: Call for Applications 2025

The ELLIS PhD program is a key pillar of the ELLIS initiative whose goal is to foster and educate the best talent in machine learning and related research areas by pairing outstanding students with...

ellis.eu
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We are presenting 5 papers at the DAGM German Conference on Pattern Recognition (GCPR, @gcpr_by_dagm) in Freiburg!
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Removing Cost Volumes from Optical Flow Estimators (ICCV 2025) by @SimonKiefhaber, @stefanroth , and @schaub_simone 🌍: visinf.github.io/recover Poster: Friday, 10:30 AM, Poster 14
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Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation (GCPR 2025) by @dustin_carrion, @stefanroth, and @schaub_simone 🌍: visinf.github.io/emat Poster: Wednesday, 03:30 PM, Poster P8
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