23rd of October. @iccv.bsky.social We present our work on “Large-scale Pretraining for Grounded Video Caption Generation” with Cordelia Schmid and @josef-sivic.bsky.social at Exhibit Hall I #434 on the morning session. We’ll have a search demo for our dataset as well! See you there!! 🚀

Are you at @iccv.bsky.social #ICCV2025? Come by our poster.  📅 October 22, 2025, 14:30 – 16:30 HST  📍 Location: Exhibit Hall I, Poster #207

🌺 Just 4 days to go! Join us in Honolulu for the Instance-Level Recognition and Generation Workshop at #ICCV2025 🏝 🗓️ Oct 19, 8:30am–12:30pm 📍 Room 306 A We’ll have amazing keynotes, plus oral and poster sessions featuring accepted and invited papers. Don’t miss it! ilr-workshop.github.io/ICCVW2025/

🚀 new state-of-the-art on ILIAS dataset! Curious how well the latest models can recognize particular objects? We evaluated the base and large variants of DINOv3 and Perception Encoder (PE) on instance-level image retrieval. See the results 👉 vrg.fel.cvut.cz/ilias/

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/

Processing and acquisition traces in visual encoders: What does CLIP know about your camera? @ryan-ramos.bsky.social @stojnicv.xyz @gkordo.bsky.social Yuta Nakashima @gtolias.bsky.social @noagarciad.bsky.social tl;dr: CLIP sees difference DSLR vs iphone, DINO doesn't. arxiv.org/abs/2508.10637 1/

Have you ever asked yourself how much your favorite vision model knows about image capture parameters (e.g., the amount of JPEG compression, the camera model, etc.)? Furthermore, could these parameters influence its semantic recognition abilities?

🚨 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

I am at #CVPR2025 this week in Nashville! Presenting "Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers" on multi-modal semantic future prediction. Come discuss! Fri 13 Jun 10:30-12:30, poster #345 bsky.app/profile/sta8...

Are you at @cvprconference.bsky.social #CVPR2025 ? Come and check out LPOSS. We show how can graph-based label propagation be used to improve weak, patch-level predictions from VLMs for open-vocabulary semantic segmentation. 📅 June 13, 2025, 16:00 – 18:00 CDT 📍 Location: ExHall D, Poster #421

VRG is presenting 8 papers at #CVPR2025. You can find me and collaborators at the following 4 posters: Fri 10:30-12:30 A Dataset for Semantic Segmentation in the Presence of Unknowns Fri 16:00-18:00 LOCORE: Image Re-ranking with Long-Context Sequence Modeling

Are you at @cvprconference.bsky.social? Come by our poster! 📅 Sat 14/6, 10:30-12:30 📍 Poster #395, ExHall D

The 2nd CEGIS workshop on visual generative models evaluation is back at #ICCV2025!! Submit your contributions: - Deadline: June 26th 2025 - Notification: July 10th, 2025 - Camera-ready: August 18th, 2025 See you in Honolulu! sites.google.com/view/cegis-w... @iccv.bsky.social

Call for Papers update - ILR+G workshop @iccv.bsky.social We will now feature a single submission track with new submission dates. 📅 New submission deadline: June 21, 2025 🔗 Submit here: cmt3.research.microsoft.com/ILRnG2025 🌐 More details: ilr-workshop.github.io/ICCVW2025/ #ICCV2025

VRG from CTU in Prague has 9 of its members listed as outstanding reviewers. Congratulations to @gkordo.bsky.social, @billpsomas.bsky.social , @stojnicv.xyz , Pavel Suma, @ducha-aiki.bsky.social , Miroslav Purkrábek, Tomas Vojir, and Yaqing Ding.

🚨 Call for Papers! 7th Instance-Level Recognition and Generation (ILR+G) Workshop at @iccv.bsky.social 📍 Honolulu, Hawaii 🌺 📅 October 19–20, 2025 🌐 ilr-workshop.github.io/ICCVW2025/ in-proceedings deadline: June 7 out-of-proceedings deadline: June 30 #ICCV2025

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!

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/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

Arxiv paper: arxiv.org/abs/2408.03282 Code: github.com/pavelsuma/ames

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