We needed region annotations. We looked at what already existed… and we decided to build our own dataset. Meet STRAP 🎉 🤗 huggingface.co/datasets/vrg-prague/STRAP 🔗 klarajanouskova.github.io/STRAP Region–text annotations for 2M web images, from a single pass of a frozen open MLLM. 🧵

Our #ECCV2026 Whareformer paper tackles long-term object tracking in Egocentric videos 🎓https://arxiv.org/abs/2607.08537 see Dima's thread below 🔽 joint work w Jacob Chalk, @saptarshisinha.bsky.social @dimadamen.bsky.social from Bristol & @skamalas.bsky.social from @naverlabseurope.bsky.social

We just released our #ECCV2026 paper on Model Merging for Computer Vision 🎓 arxiv.org/abs/2604.12935 Joint work w @pdejorge.bsky.social Cesar De Souza @bjoernmichele.bsky.social @mbsariyildiz.bsky.social @weinzaepfelp.bsky.social Florent Perronnin & @skamalas.bsky.social See Pau's thread below 🔽

📢 Deadline Extended! We have extended the Student Support Grant application deadline for the ILR+G Workshop @eccv.bsky.social by 2 days. If you haven't applied yet, there's still time! 🗓️ New deadline: August 2, 2026 📝 Apply now: forms.gle/qvqn2LyWXCvN... We look forward to seeing you in Malmö!

Giorgos Kordopatis-Zilos@gkordo.bsky.social · 2w ago

🎓 Student Support Grants are now available! Are you a student working on instance-level recognition and generation? We offer Student Support Grants for participants attending the ILR+G Workshop @eccv.bsky.social 📅 Application deadline: July 31, 2026 📝 Apply here: forms.gle/qvqn2LyWXCvN...

Check out Pau's thread on our new #ECCV2026 paper! 🧵 We propose a proxy for making model merging scalable for real-world computer vision tasks (merging encoders across diverse domains like 2D, 3D, and human understanding)

Pau de Jorge@pdejorge.bsky.social · 2w ago

1/6 Excited to share that our paper on model merging was accepted at ECCV 2026! 🎉 We introduce an efficient, decoder-free proxy that makes model selection faster, simpler and practical across vision tasks. 📄 arxiv.org/abs/2604.12935 🌐 europe.naverlabs.com/task-alignment 🧵👇

1/6 Excited to share that our paper on model merging was accepted at ECCV 2026! 🎉 We introduce an efficient, decoder-free proxy that makes model selection faster, simpler and practical across vision tasks. 📄 arxiv.org/abs/2604.12935 🌐 europe.naverlabs.com/task-alignment 🧵👇

🎓 Student Support Grants are now available! Are you a student working on instance-level recognition and generation? We offer Student Support Grants for participants attending the ILR+G Workshop @eccv.bsky.social 📅 Application deadline: July 31, 2026 📝 Apply here: forms.gle/qvqn2LyWXCvN...

🚨 Presenting today at #CVPR2026! Our highlight ⭐ paper Retrieve and Segment (RNS) asks a simple question: Can a few examples bridge the supervision gap in open-vocabulary segmentation? ✅ Turns out they can. 📍 Poster #578 ⏰ 16:45–18:45 📄 arxiv.org/abs/2602.23339

𝑹𝒆𝒕𝒓𝒊𝒆𝒗𝒆 𝒂𝒏𝒅 𝑺𝒆𝒈𝒎𝒆𝒏𝒕 (𝑹𝑵𝑺) at CVPR 2026 — selected as a 🌟 𝑯𝒊𝒈𝒉𝒍𝒊𝒈𝒉𝒕 🌟 (top ~4% of submissions)! 𝗪𝗵𝗲𝗿𝗲 𝘁𝗼 𝗳𝗶𝗻𝗱 𝘂𝘀 𝗮𝘁 𝗖𝗩𝗣𝗥 𝟮𝟬𝟮𝟲 (𝗗𝗲𝗻𝘃𝗲𝗿): 🔹 𝑴𝒂𝒊𝒏 𝑪𝒐𝒏𝒇𝒆𝒓𝒆𝒏𝒄𝒆 Poster Session 4 (#578) — June 6, 16:45–18:45 🔹 𝑾𝒉𝒂𝒕 𝒊𝒔 𝑵𝒆𝒙𝒕 𝒊𝒏 𝑴𝒖𝒍𝒕𝒊𝒎𝒐𝒅𝒂𝒍 𝑭𝒐𝒖𝒏𝒅𝒂𝒕𝒊𝒐𝒏 𝑴𝒐𝒅𝒆𝒍𝒔? Workshop — June 3, 14:30–16:00

Vision Transformers are brittle to variable input resolutions. In dense prediction tasks, the standard fix is sliding-window inference with heavy overlap, which is effective but painfully slow. SPAR (Single-Pass Any-Resolution ViT), takes a different approach.

🚨 Call for Papers 🚨 8th Instance-Level Recognition and Generation (ILR+G) Workshop at @eccv.bsky.social 📍 Malmö, Sweden 📅 September 8–9, 2026 🌐 ilr-workshop.github.io/ECCVW2026/ Submission deadline: June 26, 2026 Notification of acceptance: July 24, 2026 #ECCV2026 #ComputerVision

Do vision and vision-language foundation models suffer from shortcut learning? Is this only a curse or also a blessing? I'm excited to discuss our recent work at the AMD AI Research Club session with Pier Luigi Dovesi. 📅 May 28, 2026 — 2PM Prague time Register here 👇 amd.zoom.us/webinar/regi...

Welcome! You are invited to join a webinar: Invisible Shortcuts: Why Vision Encoders Know Your Camera | AMD AI Research Club. After registering, you will receive a confirmation email about joining the...

Join us for the third session of the AMD AI Research Club, a peer-to-peer paper spotlight series connecting AI researchers, engineers, and practitioners shaping the future of AI. In this session, Gio...

amd.zoom.us

🇧🇷 Presenting our ICLR 2026 paper “Efficient Probing” (EP) today! ❓What if linear probing is asking the wrong question? 🥳 EP is a lightweight attention probing method that better evaluates local, patch-level representations from models like MIM. 📍Friday 24 April, P4-#3713, 15:15–17:45

🚨 Efficient Local Visual Similarity (ELViS) @ #ICLR 2026 🇧🇷 ELViS is a fast, lightweight, and interpretable module for estimating image-to-image similarity that generalizes well to many image domains. Paper: arxiv.org/abs/2603.28603 Code: github.com/pavelsuma/ELViS Come see poster today @ P4-#3715

The Visual Recognition Group at CTU in Prague organizes the 51st Pattern Recognition and Computer Vision Colloquium with Roman Bednarik, István Sárándi, Andreas Geiger, Jan Škvrna, Yuki Asano and Dániel Baráth. cmp.felk.cvut.cz/colloquium/#... Happening today, Thursday Apr 23, 11:00-17:00.

Got a few labeled images lying around? You can use them to drastically improve your open-vocabulary segmentation! Check out RnS, which boosts OVS baselines by up to 34%. 📈👇

Bill Psomas@billpsomas.bsky.social · 5mo ago

1/n #CVPR2026 Accepted Paper🚀 𝑨𝒓𝒆 𝒂 𝑭𝒆𝒘 𝑬𝒙𝒂𝒎𝒑𝒍𝒆𝒔 𝑬𝒏𝒐𝒖𝒈𝒉 𝒕𝒐 𝑩𝒓𝒊𝒅𝒈𝒆 𝒕𝒉𝒆 𝑺𝒖𝒑𝒆𝒓𝒗𝒊𝒔𝒊𝒐𝒏 𝑮𝒂𝒑 𝒊𝒏 𝑶𝒑𝒆𝒏-𝑽𝒐𝒄𝒂𝒃𝒖𝒍𝒂𝒓𝒚 𝑺𝒆𝒈𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏? 𝑹𝒆𝒕𝒓𝒊𝒆𝒗𝒆 𝒂𝒏𝒅 𝑺𝒆𝒈𝒎𝒆𝒏𝒕 (𝑹𝑵𝑺) answers this question. Paper/code at the end👇🏼

Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation? Tilemachos Aravanis @stojnicv.xyz @billpsomas.bsky.social Nikos Komodakis @gtolias.bsky.social tl;dr: almost yes if use 1-3 images, no if more(fig 6) arxiv.org/abs/2602.23339 #CVPR2026

Excited to share that our paper "Global-Aware Edge Prioritization for Pose Graph Initialization" has been accepted to CVPR 2026! #CVPR2026 See you soon in Denver!🥳🥳 Code is coming soon🚧 ❓How would you do an accurate and efficient pose graph initialization in a global manner? arxiv.org/abs/2602.21963

Global-Aware Edge Prioritization for Pose Graph Initialization

The pose graph is a core component of Structure-from-Motion (SfM), where images act as nodes and edges encode relative poses. Since geometric verification is expensive, SfM pipelines restrict the pose...

arxiv.org

Zhenjun Zhao@ericzzj.bsky.social · 5mo ago

Global-Aware Edge Prioritization for Pose Graph Initialization @weitong8591.bsky.social, @gtolias.bsky.social, Jiri Matas, @danielbarath.bsky.social tl;dr: rank pose graph edges->global consistency->improve SfM arxiv.org/abs/2602.21963

1/n Attention, Please! 🚀 Our work “Revisiting Attentive Probing Through the Lens of Efficiency” has been accepted at #ICLR2026. We introduce Efficient Probing (EP) — a lightweight, multi-query attentive probing method for frozen encoders. Paper + code at the end 👇

What if position encodings were designed for vision from scratch? We introduce PaPE—Parabolic Position Encoding. Outperforms RoPE on 7/8 datasets and extrapolates to higher resolutions without fine-tuning or position interpolation. Paper, code, and website in thread 🧵

I have an opening for a two years post-doc position on instance-level (personalized) visual generation. Eligibility: (i) <=7 years from Ph.D. (ii) studies or 1 year outside of Czechia (ii) >=3 journal with IF or CORE A*/A conference papers. Deadline: 15 Feb. Details: www.euraxess.cz/jobs/399390

Postdoctoral research position in Instance-level visual generation

Czech Technical University in Prague (CTU) offers a fellowship program, the CTU Global Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have rec...

euraxess.cz

1/n REGLUE Your Latents! 🚀 We introduce REGLUE: a unified framework that entangles VAE latents ➕ Global ➕ Local semantics for faster, higher-fidelity image generation. Links (paper + code) at the end👇

Announcing the first AI for Peace Workshop @ ICLR 2026. The workshop aims to provide a forum for examining the relationship between AI research and its military, surveillance, and conflict-related applications. aiforpeaceworkshop.github.io

Are you at BMVC tomorrow and interested in VLMs? Come see our poster "Image Recognition with Vision and Language Embeddings of VLMs". 👁️📕 TLDR: We benchmark VLMs on language- and vision-based classification, and propose a simple, training-free vision-language fusion. Link: arxiv.org/pdf/2509.09311

We have PhD opportunity (start date Sep 2026) at the University of Edinburgh at the intersection of biodiversity mapping and zoonotic disease prediction. It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics: ai4bi-cdt.ed.ac.uk

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

Vladan Stojnić@stojnicv.xyz · 12mo ago

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?

🌺 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/

The Visual Recognition Group at CTU in Prague organizes the 50th Pattern Recognition and Computer Vision Colloquium with Torsten Sattler, Paul-Edouard Sarlin, Vicky Kalogeiton, Spyros Gidaris, Anna Kukleva, and Lukas Neumann. On Thursday Oct 9, 11:00-17:00. cmp.felk.cvut.cz/colloquium/

Super happy that QuARI: Query Adaptive Retrieval Improvement was accepted at #NeurIPS2025. You can significantly boost retrieval performance for very hard retrieval tasks by learning query-specific transformations of your encoders. w/ @jacobsn.bsky.social @pless.bsky.social arxiv.org/pdf/2505.21647