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Visual Inference Lab @visinf.bsky.social · 08/09/2026

[1/6] 📢 We are in Malmö at #ECCV2026 presenting 5 papers! 🎉

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Stefan Roth @stefanroth.bsky.social · 05/06/2026

Our #CVPR2026 poster starts in 30 minutes! Come by Poster Session 2, #333 to learn about VideoCUPS — the first unsupervised video panoptic segmentation method, learning to detect, segment, and track objects in video without human supervision.

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Stefan Roth @stefanroth.bsky.social · 06/06/2026

Afterwards, please stop by to see MARCO, our approach for semantic correspondence that generalizes to novel keypoints and categories. 4:12 PM in oral session 4D and later at poster #20. #CVPR2026 github.com/visinf/MARCO

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Stefan Roth @stefanroth.bsky.social · 06/06/2026

Come see INSID3, in-context segmentation with DINOv3, at 2:00 PM in oral session 4D and later at poster #19. #CVPR2026

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Visual Inference Lab @visinf.bsky.social · 05/06/2026

📢 [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.

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Visual Inference Lab @visinf.bsky.social · 04/06/2026

[1/6] 📢 We are in Denver at #CVPR2026 presenting 5 papers!

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Visual Inference Lab @visinf.bsky.social · 04/06/2026

[1/3] Multimodal Knowledge Distillation for Egocentric Action Recognition Robust to Missing Modalities by @dustin-carrion.bsky.social*, Maria Santos-Villafranca*, Alejandro Perez-Yus, Jesus Bermudez-Cameo, Jose J. Guerrero, and @simoneschaub.bsky.social

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ELLIS @ellis.eu · 21/04/2026

🎉 25 ELLIS Units have been successfully extended! Following our five-year reapplication process, we celebrate the sustained excellence these Units bring to European AI research. Congratulations to all! 👏 📖 Get more details: ellis.eu/news/25-elli...

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DAGM GCPR 2026 @gcpr-by-dagm.bsky.social · 14/04/2026

📢 Call for Papers: #VMV2026 #GCPR2026 is joined by the International Symposium on Vision, Modeling, and Visualization! We invite high-quality submissions across all areas of visual computing. We are excited to see your work! 👉 Learn more & submit: www.gcpr-vmv.de/year/2026/vmv

gcpr-vmv.de

GCPR VMVGCPR VMV (VMV)

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DAGM GCPR 2026 @gcpr-by-dagm.bsky.social · 14/04/2026

#GCPR2026 is coming to #Siegen! 🎉 Join us for great research at the beautiful Campus Lower Castle of the University of Siegen, perfectly located just a short walk from the central station and many city hotels. More info: www.gcpr-vmv.de/year/2026/lo...

gcpr-vmv.de

GCPR VMVGCPR VMV (Location)

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Adam Kortylewski 🚨 Hiring PhDs @adamkortylewski.bsky.social · 10/04/2026

Got a paper on generative models accepted at CVPR 2026? Share it with us at the 4th Workshop on Generative Models for Computer Vision! generative-vision.github.io/workshop-CVP... You can simply submit your accepted CVPR paper, no need to reformat! Deadline: April 30 (AoE)

generative-vision.github.io

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Gabriele Trivigno @gabtriv.bsky.social · 07/04/2026

🔥 Can in-context segmentation emerge directly from frozen DINOv3 features? At #CVPR2026, we present INSID3: Training-Free In-Context Segmentation with DINOv3 — a collaboration between PoliTo, TU Darmstadt and TU Munich. Check it out: github.com/visinf/INSID3

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DAGM GCPR 2026 @gcpr-by-dagm.bsky.social · 16/03/2026

We are excited to share our call for papers with a submission deadline on May 21st, 2026! We invite submissions of high-quality research papers presenting original contributions in all areas of pattern recognition! Read more: www.gcpr-vmv.de/year/2026/gc... #GCPR2026 #VMV2026

gcpr-vmv.de

GCPR VMVGCPR VMV (Call for Papers)

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Visual Inference Lab @visinf.bsky.social · 05/03/2026

📢🎓 We have open PostDoc positions in Computer Vision & ML 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! Apply here: www.career.tu-darmstadt.de/tu-darmstadt...

career.tu-darmstadt.de

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Stefan Roth @stefanroth.bsky.social · 12/12/2025

I am one of the potential advisors for this PhD position in our #DAAD funded AI graduate school ELIZA (eliza.school), which connects seven #ELLIS units in Germany. If you are interested in working with one of my colleagues or with me (in computer vision & deep learning), please consider applying.

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Nikita Araslanov @neekans.bsky.social · 02/12/2025

📢 NeurIPS 2025 Spotlight 📢 Can we embed motion into image representations? FlowFeat embeds optical flow into pixel-level representations, which results in sharp feature grids, especially for dynamic objects. Project website: tum-vision.github.io/flowfeat With Anna Sonnweber and Daniel Cremers.

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Visual Inference Lab @visinf.bsky.social · 02/12/2025

📢 Join @tuda.bsky.social as a PhD/Postdoc in the new project HAICC - Human–AI Collaboration for Cybersecurity! Explore how LLM–based AI agents and humans can jointly analyse security data and rethink cybersecurity architectures - supervised by Iryna Gurevych, @stefanroth.bsky.social, and many more!

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Andreas Geiger @andreasgeiger.bsky.social · 02/12/2025

Attending #Neurips2025? Get your personalized Scholar Inbox conference program now to easily navigate the poster sessions and find what you are looking for: www.scholar-inbox.com/conference/n...

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Robin Hesse @robinhesse.bsky.social · 19/11/2025

@neuripsconf.bsky.social is two weeks away! 📢 Stop missing great workshop speakers just because the workshop wasn’t on your radar. Browse them all in one place: robinhesse.github.io/workshop_spe... (also available for @euripsconf.bsky.social) #NeurIPS #EurIPS

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Visual Inference Lab @visinf.bsky.social · 04/11/2025

📢🎓 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...

career.tu-darmstadt.de

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Simone Schaub-Meyer @simoneschaub.bsky.social · 21/10/2025

🎉 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

visinf.github.io

Removing Cost Volumes from Optical Flow Estimators

We present ReCoVEr - A training strategy for removing the cost volume from an optical flow estimator during training.

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Christoph Reich @christophreich.bsky.social · 19/10/2025

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

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Visual Inference Lab @visinf.bsky.social · 19/10/2025

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

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Visual Inference Lab @visinf.bsky.social · 17/10/2025

📢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.

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Visual Inference Lab @visinf.bsky.social · 23/09/2025

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

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Visual Inference Lab @visinf.bsky.social · 29/08/2025

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! 🇦🇹🏔️

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DAGM GCPR 2026 @gcpr-by-dagm.bsky.social · 21/08/2025

🌟 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...

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DAGM GCPR 2026 @gcpr-by-dagm.bsky.social · 22/07/2025

🚨 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...

dagm-gcpr.de

DAGM GCPR (Submission Instructions)

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Vision and Graphics Trends @si-cv-graphics.bsky.social · 11/07/2025

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

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Christoph Reich @christophreich.bsky.social · 09/07/2025

🦖 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

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Robin Hesse @robinhesse.bsky.social · 26/06/2025

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

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Christoph Reich @christophreich.bsky.social · 04/04/2025

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

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Visual Inference Lab @visinf.bsky.social · 04/04/2025

📢 #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

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Daniel Cremers @dcremers.bsky.social · 13/03/2025

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

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TU Darmstadt @tuda.bsky.social · 25/02/2025

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...

tu-darmstadt.de

Kurz gemeldet

Kurzmeldungen aus der TU: schnell und übersichtlich finden Sie hier aktuelle Meldungen - kurz, prägnant und streng nachrichtlich.

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Visual Inference Lab @visinf.bsky.social · 31/01/2025

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

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TU Darmstadt @tuda.bsky.social · 13/01/2025

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...

youtube.com

Verstehen, was KI-Modelle können und was nicht: RAI-Forschende Dr. Simone Schaub-Meyer im Interview

YouTube video by Technische Universität Darmstadt

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Visual Inference Lab @visinf.bsky.social · 13/12/2024

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

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Visual Inference Lab @visinf.bsky.social · 28/11/2024

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.

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