The Colloquium in Pattern Recognition and Computer Vision of the Visual Recognition Group at CTU in Prague has a long tradition dating back to 1998. The list of all speakers is available docs.google.com/spreadsheets.... Enjoy! The 50th edition is coming soon cmp.felk.cvut.cz/colloquium/

🚨 Deadline Extension Instance-Level Recognition and Generation (ILR+G) Workshop at ICCV2025 @iccv.bsky.social 📅 new deadline: June 26, 2025 (23:59 AoE) 📄 paper submission: cmt3.research.microsoft.com/ILRnG2025 🌐 ILR+G website: ilr-workshop.github.io/ICCVW2025/ #ICCV2025 #ComputerVision #AI

Exciting News! Shoutout to @hf.co 🤗 for hosting ILIAS in its full scale! You can now easily download it via: huggingface.co/datasets/vrg... This marks a milestone in i2i and t2i retrieval, paving the way for significant advancements in the field. Huge thanks to @hf.co team for their support!

The WACV'25 work of @nikos-efth.bsky.social is on WACV daily - computer vision news.

ILIAS is a large-scale test dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support future research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating foundation models and retrieval techniques.

ILIAS: Instance-Level Image retrieval At Scale @gkordo.bsky.social, Vladan Stojnić @annetka.bsky.social Pavel Šuma, Nikolaos-Antonios Ypsilantis @nikos-efth.bsky.social Zakaria Laskar,Jiří Matas, Ondřej Chum, @gtolias.bsky.social tl;dr: SigLIP rules. Lots of ablations arxiv.org/abs/2502.11748 1/

For PhD and MSc students interested in a research visit to Prague/VRG in 2025: we're open to hosting short-term collaborations or internships on a range of computer vision topics. If this sounds exciting, reach out by e-mail! We'd love to discuss potential projects. Some examples 🧵 #Internship #CV

🧵 1/ Excited to share that our WACV 2025 paper, "Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization," was also selected for an Oral Presentation! 🎤

🧵 1/ Big news! Our WACV 2025 paper, "Composed Image Retrieval for Training-Free Domain Conversion", has been selected for an Oral Presentation! 🎤✨

A late introduction: I am an Associate Professor at CTU in Prague and a computer vision researcher at the Visual Recognition Group (VRG - vrg.fel.cvut.cz). VRG consists of about 40 members and I am leading a small team within VRG. I am made in Greece and exported to France + Czech Republic 🧵⬇️

Excited to present UDON at NeurIPS '24 tomorrow (Thursday 12/12)! If you are interested in a scalable training method for multi-domain image embeddings, come to poster #1410 in the East Exhibit Hall A-C of the Vancouver Convention Center from 11 am to 2 pm (PST) to discuss!

1/n Bear with me for a moment: Imagine you train a model to classify photos, but you need it to generalize to paintings 🎨. You only have data from photos, and the target domain is inaccessible due to cost or legal rights. You train many models and you validate on the source domain.

🚀 New paper alert: FREEDOM is here! Check out “Composed Image Retrieval for Training-FREE DOMain Conversion,” our training-free method for domain conversion with VLMs. 🎯 📜 WACV 2025 💡 Retrieve images using image+text queries! 📖 arxiv.org/abs/2412.03297 🔗 github.com/NikosEfth/fr... #WACV2025 #AI

1/ 🎉 Excited to share our work, "Composed Image Retrieval for Training-Free Domain Conversion", accepted at WACV 2025! 🚀

Here is a small and cozy starter pack "Prague CV/ML". Most of the people here are not posting much, and I secretly hope that being in the list will motivate them to do so :P go.bsky.app/G9TYiYQ

Whenever AI "generates" something impressive, the first question we should always ask is: "What does the closest sample in the training data look like?" LLMs are amazing interfaces for accessing the world's information but they need to be treated as the "search and synthesis" tools they are.

I strongly believe that generative AI is theft and has no place in art. Sadly the beast of generative AI has hurt a lot of professional artists even leaving them without a job. This is something that should concern anyone who values the soul in the art they consume. #artificialinteligence #horror

Deep global descriptors give a convenient way for retrieval, but local descriptors are a game changer in finding needles in a haystack (particular objects in clutter). Due to their high cost, with AMES we optimize the performance/memory trade-off during re-ranking. #ECCV2024