🚀New preprint: DAVE — Distribution-aware Attribution via ViT Gradient DEcomposition. 1/11 🔍 What’s new: We fix a persistent issue in ViT explainability: unstable, artifact-heavy pixel attributions. DAVE yields fine-grained pixel-level maps without patch-grid saliency.

ICCV 2025 kicks off tomorrow! We look forward to welcoming everyone to Hawaii 🌺

ICCV 2025 🌺 Aloha from Hawaii! MPI-INF (D2) is presenting 4 papers this year (one Highlight). Thread 👇

Are you using DINOv2 for tasks that require semantic features? DIY-SC might be the alternative! It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6] genintel.github.io/DIY-SC

Super excited to introduce ✨ AnyUp: Universal Feature Upsampling 🔎 Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining. SOTA feature upsampling results while being feature-agnostic at inference time. 🌐 wimmerth.github.io/anyup/

🚨 Call for Questions! 🚨 We are inviting the community and the stakeholders to submit questions, which will be discussed with our experts at the workshop! 🎤💡 👉 Submit your questions: forms.gle/8cYb4Ce3dGHi... Workshop: excv-workshop.github.io @iccv.bsky.social #ICCV2025 #eXCV

Kurt Mehlhorn, Founding Director of MPI for Informatics, was awarded the Saarland Order of Merit yesterday by Minister President Anke Rehlinger. The award recognizes his life’s work, from advancing algorithmic research to mentoring researchers and helping build key institutions. More: sic.link/merit

Kurt Mehlhorn awarded the Saarland Order of Merit

Minister President Rehlinger presented the order during a ceremonial event at the Saarland State Chancellery.

sic.link

Are you an XAI researcher attending #ICCV2025? Submit your recently published work — at CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI etc. — to the eXCV Workshop for the opportunity to further showcase your work! Published papers can be submitted as is, no rewriting necessary. @iccv.bsky.social

🚀 UTD is now fully released! Code ✅ Models ✅ 2M video descriptions ✅ Debiased splits for 12 datasets ✅ Everything you need to benchmark video models more fairly is now public: 🔗 github.com/ninatu/utd-p... 🎥 Let’s make video understanding actually about video understanding.

People often use synthetic corruptions to test model robustness, but do these reflect real-world challenges? We explore this in detail in our CVPR 2025 Workshop paper: Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions? arxiv.org/abs/2505.04835 by: @margretkeuper.bsky.social

🚨Deadline Extension Alert! Our Non-proceedings track is open till August 15th for the eXCV workshop at ICCV. Our nectar track accepts published papers, as is. More info at: excv-workshop.github.io @iccv.bsky.social #ICCV2025

⏳Still need to wait for your last experiment results? 📣 We're pleased to announce that the deadline for non-proceeding track #CV4DC at @iccv.bsky.social has been extended to August 15, 2025 Looking forward to your submissions! cv4dc.github.io/2025/

Sid@sidgairo18.bsky.social · last yr.

📣 Proceeding track's results are out. 🎉 Congratulations to all the authors whose papers were accepted. We can't wait to meet you at @iccv.bsky.social in Hawaii on Oct 19th. ⏰ Our non-proceeding track is still accepting submissions until July 20th! Details in the comments

Papers being presented from our group at #ICML2025! Congratulations to all the authors! To know more, visit us in the poster sessions! A 🧵with more details: @icmlconf.bsky.social @mpi-inf.mpg.de

📣 Proceeding track's results are out. 🎉 Congratulations to all the authors whose papers were accepted. We can't wait to meet you at @iccv.bsky.social in Hawaii on Oct 19th. ⏰ Our non-proceeding track is still accepting submissions until July 20th! Details in the comments

🎉 Congrats to Yue Fan on defending his PhD: "Improving Representation Learning from Data and Model Perspectives: Semi-Supervised Learning and Foundation Models" 🧑‍🎓 He is now at Genmo.ai as a Research Engineer working on video generation! 🚀 More: yue-fan.github.io All the best!

Congratulations to our PhD alumna @annakukleva.bsky.social for being awarded the prestigious Otto Hahn Medal by @maxplanck.de! 🎉

Max Planck Institute for Informatics@mpi-inf.mpg.de · last yr.

Congrats to @annakukleva.bsky.social, for winning the Otto Hahn Medal of @maxplanck.de! 🏅In her PhD thesis she shows how AI can learn to recognize images & videos with less manual labeling, using self-supervised and weakly supervised methods. ↪️ sic.link/ottohahn25 #AI #ComputerVision #research

🚀 Just accepted to ICCV 2025! In DIY-SC, we improve foundational features using a light-weight adapter trained with carefully filtered and refined pseudo-labels. 🔧 Drop-in alternative to plain DINOv2 features! 📦 Code + pre-trained weights available now. 🔥 Try it in your next vision project!

Olaf Dünkel@oduenkel.bsky.social · last yr.

Are you using DINOv2 for tasks that require semantic features? DIY-SC might be the alternative! It refines DINOv2 or SD+DINOv2 features and achieves a new SOTA on the semantic correspondence dataset SPair-71k when not relying on annotated keypoints! [1/6] genintel.github.io/DIY-SC

Submission deadline is today!

Robin Hesse@robinhesse.bsky.social · last yr.

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

Submission Deadline is extended by 6 days. #ICCV2025 @iccv.bsky.social

Sweta Mahajan@swetamahajan.bsky.social · last yr.

Join us in advancing explainability in the rapidly evolving landscape of AI! We welcome papers on novel explanation methods, scaling existing xAI approaches, innovations for foundational models, and beyond.

A heart congratulations to the freshly minted Dr. Mattia Segù on successfully defending his PhD, Congratulazioni!!! 🎉 🎓. His thesis is titled: Learning to Track: From Limited Supervision to Long-range Sequence Modeling Checkout his web-page to learn more about his work: mattiasegu.github.io

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

At #CVPR2025 and working on consistency in video and multi-view generative models? Come and visit our poster on Friday afternoon, where I present 𝗠𝗘𝘁𝟯𝗥: 𝗠𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗜𝗺𝗮𝗴𝗲𝘀 @mohammadasim98.bsky.social @wimmerthomas.bsky.social @mpi-inf.mpg.de @cvml.mpi-inf.mpg.de

Thread: Workshop Papers from Our Lab at CVPR 2025! 🚀 👏 Huge congrats to our members on these workshop paper acceptances! Excited to see their work at #CVPR2025 🌟 #MPI-INF #D2 #Workshop #AI #ComputerVision #PhD @mpi-inf.mpg.de

Thread: Main Conference Papers from Our Lab at CVPR 2025! 🚀 👏 Big congrats to everyone! Keep an eye out at #CVPR2025 🌟 #MPI-INF #D2 #ComputerVision #AI #PhD #ML @mpi-inf.mpg.de

🎉 Exciting News #CVPR2025! We’re proud to announce that we have 5 papers accepted to the main conference and 7 papers accepted at various CVPR workshops this year! We’re looking forward to sharing our research with the community in Nashville! Stay tuned for more details! ‪‪@mpi-inf.mpg.de‬

🚀 Just released: FLAIR – a new training-free approach to solving inverse problems using flow-matching models! 🎯 Try it live: huggingface.co/spaces/prs-e... 📚 Learn more: inverseflair.github.io Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler

Exciting work on making neural networks interpretable from our department by Jonas Fischer!

Max Planck Institute for Informatics@mpi-inf.mpg.de · last yr.

Making AI more transparent is central to building systems we can trust. Jonas Fischer’s Explainable Machine Learning Group at MPI-INF works on methods to achieve precisely that. Example: a NeurIPS paper on how domain knowledge can guide model pruning for better understanding. sic.link/dash

Happy to announce that we have an #ICML paper! Our DCBMs use cropped image segmentats for model interpretability. It was great collaborating with @patrickknab.bsky.social, @smarton.bsky.social , Christian Bartelt, and @margretkeuper.bsky.social @keuper-labs.bsky.social

Join us for amazing research, inspiring talks, and great networking in one of Germany's most beautiful cities! 🌿🌐 #ComputerVision #MachineLearning Spread the word! 🔁 Call For Papers: www.dagm-gcpr.de/year/2025/su... To follow, announcements for the exciting tracks! Stay tuned...

🚀 Exciting news! #GCPR2025 – the DAGM German Conference on Pattern Recognition – is coming to Freiburg, Germany! 📍🗓️ Mark your calendars: September 23-26, 2025!