Visual Inference Lab

What if a model could learn dense semantic matches from just a handful of annotated landmarks, while still generalizing to unseen keypoints and categories — and running 10× faster than diffusion-based approaches? MARCO is selected as an Oral at #CVPR2026! A unified model for generalizable semantic correspondence, built on DINOv2⭐️ 👉 Try our model: github.com/visinf/MARCO

✨ As a first-year PhD student, I used to wonder what it must feel like to have a paper selected as an Oral at #CVPR. Today, I’m experiencing that feeling twice! I’m beyond happy to share that both of my first-author papers have been selected as #Oral at #CVPR2026 🎉

🔥 Can in-context segmentation emerge directly from frozen DINOv3 features? At #CVPR2026, we present INSID3: Training-Free In-Context Segmentation with DINQv3 — a collaboration between PoliTo, TU Darmstadt and TU Munich. A training free approach that generalizes from object-level to part-level and personalized segmentation, across natural, medical, underwater, and aerial domains Check it out: github.com/visinf/INSID3

@EmtiyazKhan @roydanroy Welcome! Looking forward to having you in Darmstadt 🎊

Not a news to many, but I will be starting as a professor (W3) at TU Darmstadt in June 2026 and setup another branch of our Adaptive Intelligence group. Also, I am hiring! Please share! 4 PhD positions career.tu-darmstadt.de/tu-darmstadt/j… 2 post-doc positions career.tu-darmstadt.de/tu-darmstadt/j…

@CSProfKGD Thanks Kosta! 🙏🏻

I have a tremendous amount of respect for this lab. Definite destination point!

4 postdoc positions are available at TU Darmstadt and Centre for Excellence on Reasonable AI. I am part of the Active AI group. Please help me spread the word. Description: hessian.ai/projects/reaso… Application portal: career.tu-darmstadt.de/tu-darmstadt/j…

📢🎓 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-darmstadt/j…

🚨🚨🚨 Introducing the AI Coach Challenge at the 2nd VAR Workshop @CVPR 2026 👉 Answers are passive; guidance is active. Don't just build a model that watches but one that intervenes. Details: varworkshop.github.io/challenges/

🚨"Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?" #NeurIPS2025 Check out the Qualcomm Interactive Cooking Dataset for proactive mistake-aware task guidance. 📅Wed, Dec 3 11:00 AM – 2:00 PM PST 📌Exhibit Hall C,D,E #5403 Project page: apratimbh.github.io/livecook

📢 NeurIPS 2025 Spotlight 📢 Can we embed motion into image representations? Trained on videos, FlowFeat embeds optical flow into pixel-level representations (up to a linear transform), which results in sharp feature grids, especially for dynamic objects. We demonstrate benefits for ⭐️video object segmentation; ⭐️semantic segmentation; ⭐️and monocular depth. Paper: arxiv.org/abs/2511.07696 Project website: tum-vision.github.io/flowfeat Code and models: github.com/tum-vision/flo… Joint work with Anna Sonnweber and Daniel Cremers @tumcvg and @MunichCenterML. Come by our poster @NeurIPSConf on Thursday (Exhibit Hall C,D,E #4816)!

🗓 Application Deadline: 14.12.2025 More Info: informatik.tu-darmstadt.de/ukp/ukp_home/j…

📢 Join @TUDarmstadt 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 @IGurevych, @stefanroth, and many more!

✨ We found that #SegmentAnything hides a rich semantic structure, and we show how to unlock it! Our paper SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation is a #NeurIPS2025 Spotlight. 📍 Come check it out! Poster Friday, 11 a.m. 📄github.com/ClaudiaCuttano…

🔥 Our paper SANSA is a #NeurIPS2025 Spotlight! We turn #SAM2 into a semantic few-shot segmenter for objects and parts, fully promptable (mask · point · box · scribble); only 10M trainable parameters and 5× faster than competitors. Code, models & demo github.com/ClaudiaCuttano… 👇

@NeurIPSConf 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_speak… (also available for @EurIPSConf ) #NeurIPS #neurips2025 #EurIPS

📢🎓 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-darmstadt/j…

📢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.Jobs/TU-D…

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 room) or Tue, 15:15 (Exhibit Hall I #627)!🖼️ W/ A. Jevtić, @felixwimbauer @olvr_hhn, C. Rupprecht, @stefanroth, D. Cremers

@gopika_sudhakar @HikiShindo @schaub_simone @kerstingAIML @stefanroth @olvr_hhn @ChristophR1996 [8/8] 2nd Workshop on Explainable Computer Vision: Quo Vadis?
 🌍 excv-workshop.github.io 
Sun 8:00 AM — 5:00 PM

@gopika_sudhakar @HikiShindo @schaub_simone @kerstingAIML @stefanroth @olvr_hhn @ChristophR1996 📄 arxiv.org/abs/2509.02545
 Talk: Sun 9:30 AM - 306 A
Poster: Sun 10:00 AM - Exhibit Hall II

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