📢🎓 We have open PhD positions in Computer Vision & Machine Learning at @tuda.bsky.social and @hessianai.bsky.social within the Reasonable AI Cluster of Excellence — supervised by @stefanroth.bsky.social, @simoneschaub.bsky.social and many others! www.career.tu-darmstadt.de/tu-darmstadt...

🎉 Today, Simon Kiefhaber 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: 🌍 visinf.github.io/recover Talk: Tue 09:30 AM, Kalakaua Ballroom Poster: Tue 11:45 AM, Exhibit Hall I #76

📢Excited to share our IROS 2025 paper “Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model”! Work by Jannik Endres, @olvrhhn.bsky.social, Charles Cobière, @simoneschaub.bsky.social, @stefanroth.bsky.social and Alexandre Alahi.

[1/8] We are presenting four main conference papers, two workshop papers, and a workshop at @iccv.bsky.social 2025 in Hawaii! 🎉🏝

🎓 Looking for a PhD position in computer vision? Apply to the European Laboratory for Learning & Intelligent Systems (ELLIS) and work with @stefanroth.bsky.social & @simoneschaub.bsky.social! Join the info session on Oct 1. @ellis.eu @tuda.bsky.social ellis.eu/news/ellis-p...

We are presenting five papers at the DAGM German Conference on Pattern Recognition (GCPR, @gcpr-by-dagm.bsky.social) in Freiburg this week!

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation (GCPR 2025) by @dustin-carrion.bsky.social, @stefanroth.bsky.social, and @simoneschaub.bsky.social 🌍: visinf.github.io/emat Poster: Wednesday, 03:30 PM, Postern 8

Removing Cost Volumes from Optical Flow Estimators (ICCV 2025 Oral) by @skiefhaber.de, @stefanroth.bsky.social, and @simoneschaub.bsky.social 🌍: visinf.github.io/recover Poster: Friday, 10:30 AM, Poster 14

🚀 Open-Mic Opinions! 🚀 We welcome you to voice your opinion on the state of XAI. You get 5 minutes to speak (in-person only) during the workshop. 📷 Submit your proposals here: lnkd.in/d7_EWKXp For more details: lnkd.in/dpYWVYXS @iccv.bsky.social #ICCV2025 #eXCV

Some impressions from our VISINF summer retreat at Lizumer Hütte in the Tirol Alps — including a hike up Geier Mountain and new research ideas at 2,857 m! 🇦🇹🏔️

🚨Deadline Approaching! 🚨 Non-Proceedings track closes in 2 days! Be sure to submit on time! We are awaiting your submissions! More info at: excv-workshop.github.io @iccv.bsky.social #ICCV2025 #eXCV

Got a strong XAI paper rejected from ICCV? Submit it to our ICCV eXCV Workshop today—we welcome high-quality work! 🗓️ Submissions open until June 26 AoE. 📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track. #ICCV2025 @iccv.bsky.social

Join us in taking stock of the state of the field of explainability in computer vision, at our Workshop on Explainable Computer Vision: Quo Vadis? at #ICCV2025! @iccv.bsky.social

We are presenting 3 papers at #CVPR2025!

Reasonable Artificial Intelligence und The Adaptive Mind: Die TU Darmstadt wird im Rahmen der Exzellenzstrategie des Bundes und der Länder mit gleich zwei geförderten Clusterprojekten ausgezeichnet. Ein Meilenstein für unsere Universität! www.tu-darmstadt.de/universitaet...

"Reasonable AI" got selected as a cluster of excellence www.tu-darmstadt.de/universitaet... Overwhelmingly happy to be part of RAI & continue working with the smart minds at TU Darmstadt & hessian.AI, while also seeing my new home at Uni Bremen achieve a historic success in the excellence strategy!

📢 #CVPR2025 Highlight: Scene-Centric Unsupervised Panoptic Segmentation 🔥 We present CUPS, the first unsupervised panoptic segmentation method trained directly on scene-centric imagery. Using self-supervised features, depth & motion, we achieve SotA results! 🌎 visinf.github.io/cups

Why has continual ML not had its breakthrough yet? In our new collaborative paper w/ many amazing authors, we argue that “Continual Learning Should Move Beyond Incremental Classification”! We highlight 5 examples to show where CL algos can fail & pinpoint 3 key challenges arxiv.org/abs/2502.11927

🏔️⛷️ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!

Excited to share that today our paper recommender platform www.scholar-inbox.com has reached 20k users! We hope to reach 100k by the end of the year.. Lots of new features are being worked on currently and rolled out soon.

Verstehen, was KI-Modelle können – und was nicht: Interview mit @simoneschaub.bsky.social, Early-Career-Forscherin im Clusterprojekt „RAI“ (Reasonable Artificial Intelligence). "RAI" ist eines der Projekte, mit denen sich die TUDa um einen Exzellenzcluster bewirbt. www.youtube.com/watch?v=2VAm...

Want to learn about how model design choices affect the attribution quality of vision models? Visit our #NeurIPS2024 poster on Friday afternoon (East Exhibition Hall A-C #2910)! Paper: arxiv.org/abs/2407.11910 Code: github.com/visinf/idsds

Our work, "Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals" is accepted at TMLR! 🎉 visinf.github.io/primaps/ PriMaPs generate masks from self-supervised features, enabling to boost unsupervised semantic segmentation via stochastic EM.

Die DFG hat Dr. Simone Schaub-Meyer ins Emmy Noether-Programm aufgenommen. Schaub-Meyer will Methoden entwickeln, die das Verständnis für weit verbreitete Modelle der #KI in der Bild-und Videoanalyse erhöhen www.tu-darmstadt.de/universitaet...