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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics
@cvml.mpi-inf.mpg.de
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Computer Vision and Machine Department at the Max Planck Institute for Informatics | https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/
www.mpi-inf.mpg.de
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swetamahajan.bsky.social
Sweta Mahajan @swetamahajan.bsky.social · Sep 8
🚨 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
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mpi-inf.mpg.de
Max Planck Institute for Informatics @mpi-inf.mpg.de · Aug 21
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
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Reposted by Computer Vision and Machine Learning at MPI Informatics
sukrutrao.bsky.social
Sukrut Rao @sukrutrao.bsky.social · Aug 14
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
eXCV Workshop at ICCV 2025, Submission deadline August 15.
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ninashv.bsky.social
Nina Shvetsova @ninashv.bsky.social · Aug 8
🚀 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.
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shashank-agnihotri.bsky.social
Shashank Agnihotri @shashank-agnihotri.bsky.social · Jul 24
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
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swetamahajan.bsky.social
Sweta Mahajan @swetamahajan.bsky.social · Jul 18
🚨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
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sidgairo18.bsky.social
Sid @sidgairo18.bsky.social · Jul 24
⏳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/
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
📄 spatialreasoners.github.io
🔗 github.com/spatialreaso...
🌀Spatial Reasoners
spatialreasoners.github.io
cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
4/ "🌀Spatial Reasoners for Continuous Variables in Any Domains" by @bartpog.bsky.social, @chriswewer.bsky.social, Bernt Schiele, and @janericlenssen.bsky.social (CODEML Workshop)

🔍 Software framework for training Spatial Reasoning Models in any domain
Image for "🌀Spatial Reasoners for Continuous Variables in Any Domains"
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
🔍 Can you really trust the explanations your classifier gives you? We show which pixels in the input are provably important to the classifier’s prediction within a radius around the input.

📄 openreview.net/pdf?id=NngoE...
🔗 github.com/AlaaAnani/ce...
openreview.net
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
3/ "Pixel-level Certified Explanations via Randomized Smoothing" by @aanani.bsky.social, Tobias Lorenz, Mario Fritz, and Bernt Schiele
Image for "Pixel-level Certified Explanations via Randomized Smoothing"
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
📄 arxiv.org/abs/2502.21075
🔗 geometric-rl.mpi-inf.mpg.de/srm/
🔗 github.com/Chrixtar/SRM
Spatial Reasoning with Denoising Models
We introduce Spatial Reasoning Models (SRMs), a framework to perform reasoning over sets of continuous variables via denoising generative models. SRMs infer continuous representations on a set of unob...
arxiv.org
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
2/ "Spatial Reasoning with Denoising Models" by @chriswewer.bsky.social, @bartpog.bsky.social, Bernt Schiele, and @janericlenssen.bsky.social

🔍 Can image generators solve visual Sudoku? Naively, no, with sequentialization and the correct order, they can!
Image for "Spatial Reasoning with Denoising Models"
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
📄 arxiv.org/abs/2412.11576
🔗 github.com/KathPra/DCBM
DCBM: Data-Efficient Visual Concept Bottleneck Models
Concept Bottleneck Models (CBMs) enhance the interpretability of neural networks by basing predictions on human-understandable concepts. However, current CBMs typically rely on concept sets extracted ...
arxiv.org
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
1/ "DCBM: Data-Efficient Visual Concept Bottleneck Models" by @katharinaprasse.bsky.social*, @patrickknab.bsky.social*, Sascha Marton, Christian Bartelt, and @margretkeuper.bsky.social

🔍 Data-efficient CBMs (DCBMs) generate concepts from image regions detected by segmentation or detection models
Image for "DCBM: Data-Efficient Visual Concept Bottleneck Models"
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 13
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
Papers accepted at ICML 2025 from the Computer Vision and Machine Learning Department at the Max Planck Institute for Informatics.
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sidgairo18.bsky.social
Sid @sidgairo18.bsky.social · Jul 12
📣 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
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 5
🎉 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!
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jul 1
Congratulations to our PhD alumna @annakukleva.bsky.social for being awarded the prestigious Otto Hahn Medal by @maxplanck.de! 🎉
mpi-inf.mpg.de
Max Planck Institute for Informatics @mpi-inf.mpg.de · Jul 1
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
Otto Hahn Medal for Anna Kukleva
The award is given for fundamental work on learning powerful representations for image and video recognition from reduced supervision.
sic.link
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wimmerthomas.bsky.social
Thomas Wimmer @wimmerthomas.bsky.social · Jun 26
🚀 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!
oduenkel.bsky.social
Olaf Dünkel @oduenkel.bsky.social · Jun 26
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
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jun 26
Submission deadline is today!
robinhesse.bsky.social
Robin Hesse @robinhesse.bsky.social · Jun 26
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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swetamahajan.bsky.social
Sweta Mahajan @swetamahajan.bsky.social · Jun 23
Submission Deadline is extended by 6 days.

#ICCV2025 @iccv.bsky.social
swetamahajan.bsky.social
Sweta Mahajan @swetamahajan.bsky.social · Jun 14
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.
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cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jun 26
@mattiasegu.bsky.social
cvml.mpi-inf.mpg.de
Computer Vision and Machine Learning at MPI Informatics @cvml.mpi-inf.mpg.de · Jun 26
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
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sukrutrao.bsky.social
Sukrut Rao @sukrutrao.bsky.social · Jun 14
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
Call for papers at the eXCV workshop at ICCV 2025.
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