📢🎓 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

Interested in 3D DINO features from a single image or unsupervised scene understanding?🦖 Come by our SceneDINO poster at NeuSLAM today 14:15 (Kamehameha II) or Tue, 15:15 (Ex. Hall I 627)! W/ Jevtić @fwimbauer.bsky.social @olvrhhn.bsky.social Rupprecht, @stefanroth.bsky.social @dcremers.bsky.social

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

📢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.

🎓 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!

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! 🇦🇹🏔️

🌟 Keynotes at #GCPR2025 🌟 🎤 Prof. Dima Damen (Uni Bristol & Google DeepMind) 🗓️ Thursday, Sept 25, 2025. 10:30–11:30 Talk:Opportunities in Egocentric Vision Discover new frontiers in egocentric video understanding, from wearable devices to large-scale datasets. 🔗 www.dagm-gcpr.de/year/2025/re...

🚨 Nectar Track @ #GCPR2025 — Call for Submissions! 🧠📢 Have a top-tier paper from the last year (CVPR, NeurIPS, ICLR, ECCV, ICCV, etc.)? Share your work with the vibrant GCPR community! 🗓️ Submission Deadline: July 28, 2025 🔗 Instructions: www.dagm-gcpr.de/year/2025/su...

𝗙𝗲𝗲𝗱-𝗙𝗼𝗿𝘄𝗮𝗿𝗱 𝗦𝗰𝗲𝗻𝗲𝗗𝗜𝗡𝗢 𝗳𝗼𝗿 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗰𝗲𝗻𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 Aleksandar Jevtić, Christoph Reich, Felix Wimbauer ... Daniel Cremers arxiv.org/abs/2507.06230 Trending on www.scholar-inbox.com

🦖 We present “Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion”. #ICCV2025 🌍: visinf.github.io/scenedino/ 📃: arxiv.org/abs/2507.06230 🤗: huggingface.co/spaces/jev-a... @jev-aleks.bsky.social @fwimbauer.bsky.social @olvrhhn.bsky.social @stefanroth.bsky.social @dcremers.bsky.social

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

We had a great time at #CVPR2025 in Nashville!

We are presenting 3 papers at #CVPR2025!

Check out the #MCML blog post on our recent #CVPR2025 #highlight paper🔥

📢 #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

We are thrilled to have 12 papers accepted to #CVPR2025. Thanks to all our students and collaborators for this great achievement! For more details check out cvg.cit.tum.de

Im Februar trat Simone Schaub-Meyer ihre Professur für Bild- und Videoanalyse am TU-Fachbereich Informatik an. Im Interview verrät sie, was das Spannende an ihrer Forschung ist, wie wichtig Interdisziplinarität ist und in welches Fach sie gerne schnuppern würde: www.tu-darmstadt.de/universitaet...

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

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.