🎉 REGLUE accepted at #ECCV2026 🎉 🎨 A unified framework jointly modeling VAE latents ➕ global ➕ local VFM semantics for faster, higher-fidelity diffusion image generation. 💨 Matches 1M-step SOTA in just 700k iterations (~30% fewer steps). 🌐 reglueyourlatents.github.io More info below👇

Kevin Kia The Two Doors

🚨 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

The instance level recognition and generation workshop will be back at @eccv.bsky.social 2026. With excellent keynote speakers, a call for papers, and travel grants for students.

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.

Our work Global-Aware Edge Prioritization for Pose Graph Initialization is a CVPR 2026 oral paper and award candidate. Oral: Sun, Jun 7, 10:15 — 11:30 at Bluebird Ballroom (Oral Session 5A: Dynamic Perception) 📎 Poster: Sun, Jun 7, 11:45 AM — 1:45 PM at ExHall F (Poster Session 5), Poster #2

Get ready to Image Matching Workshop 2026 today at @cvprconference.bsky.social Room: 504 13:00 local time 3 star speakers: ⭐ @pesarlin.bsky.social ⭐ Nikhil Keetha ⭐ @jianyuanwang.bsky.social ✅10 papers ✅IMC2026 story #CVPR2026

Indexing Multimodal Language Models for Large-scale Image Retrieval - CVPR 2026 Findings paper A multimodal LLM (like Qwen) can estimate image-to-image similarity remarkably well without any task-specific training. 📍 Main conference — Poster #12, ExHall A 📅 Sun 7/6, 7:30–9:00

📍 @c1rcuslegend.bsky.social is presenting our work at #CVPR2026 Findings, find the poster with the most 🐈🐾 🗓 Friday, 07:00–08:30 📌 ExHall A; Poster #166 Stop by if you're curious whether MLLMs make good classifiers or to discuss our "Doomed to Reannotate" ImageNet project (preprint coming soon) 📝

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

🚀 Reminder: Our #CVPR2026 highlight ⭐ paper "Retrieve and Segment" will be presented today at the What is Next in Multimodal Foundation Models? Workshop. 🕝 Today, 14:30–16:00 📄 Paper: arxiv.org/abs/2602.23339 💻 Code: github.com/TilemahosAra... Looking forward to the discussions and feedback!

Thrilled to have our work listed among the top #CVPR2026 papers! 🎉 RNS is now featured in @skalskip92.bsky.social's curated collection of the most exciting papers from👇 🔗 github.com/SkalskiP/top-cvpr-2026-papers Big shoutout to @skalskip92.bsky.social for the incredible effort of tracking 🙌

🎉This week at #CVPR2026, we’ll be presenting Retrieve and Segment (RNS), our ⭐ highlight paper. 📍 Poster Session 4 (#578) 🗓️ June 6, 16:45–18:45 📄 Paper: arxiv.org/abs/2602.23339 💻 Code: github.com/TilemahosAra... 🌐 Page: vrg.fel.cvut.cz/rns/ See you in Denver!

🚀 Instance-Level Composed Image Retrieval 💥Given a query image + a text modification, the goal is to retrieve the same particular object after the change — not just any semantically similar object. 📦 Dataset: huggingface.co/datasets/bil... 💻 Code: github.com/billpsomas/i... #VLM #AI #MultimodalAI

The Instance-Level Recognition and Generation workshop is back at ECCV 2026! For the first time, this edition will have best paper award prizes and student support grants. Submit your paper by June 26.

Looking for a nice home for your paper? #3DV2027 is waiting! 🎉 ⏰ Conference dates: April 6-9, 2027 ✈️ Place: #Thessaloniki (#SKG), #Greece 🇬🇷 📝 Paper ddl: Aug 28 🎥 Supp ddl: Sep 02 🆕 Rebuttal only upon invite for borderline papers #CallForPapers: 3dvconf.github.io/2027/call-fo...

📢 Deadline Extended! 🇬🇷🤖 The submission deadline for the #GreeksInAI 2026 Symposium has been extended to May 25🎉 More time to submit your latest work in AI, ML, CV, NLP, Robotics & more🚀 📍Athens, July 15–17 📄Link: openreview.net/group?id=gre... #AI #MachineLearning #ComputerVision #NLP #Robotics

🇬🇷 Reminder: the Call for Papers for #GreeksInAI 2026 is open! 📍Eugenides Foundation, Athens 📅15–17 July 2026 📝Submission deadline: 15 May 2026 We invite submissions on recent/ongoing/emerging work in AI/ML worldwide. Submit via: openreview.net/group?id=gre...

🇧🇷 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

🚨 Efficient Probing (EP) @ #ICLR 2026 🇧🇷 Models trained to learn local representations (e.g., MIM) are often undervalued by standard global evaluation. 👉 EP unlocks their potential via attention-based aggregation. Paper: arxiv.org/abs/2506.10178 Poster 👇 See you in Rio! 🌴

🎉 RNS is a Highlight paper at #CVPR 2026 🎉 💡1.5 years ago, just after finishing my PhD, I wrote my #MSCA PF proposal around a simple idea: can memory extend VLMs for open-vocabulary segmentation? 🎉 Today, the first paper is a CVPR Highlight. 🎯 From idea → funded project → highlight paper.

🚀 This week at #ELLIS Winter School: our #CVPR2026 paper Retrieve and Segment (RNS) is being presented by @tim-arav.bsky.social. 🎯 RNS shows how a few pixel-level annotated images can boost zero-shot Open Vocabulary Segmentation. 📝 arxiv.org/pdf/2602.23339 #ComputerVision #FoundationModels #OVS

🚀 New task: Instance-level Composed Image Retrieval 🔎 Given a [query image] + [query text], retrieve the particular object after the change — not just any similar object. 🛢 New dataset on HF: i-CIR huggingface.co/datasets/bil... 📄 Project page: vrg.fel.cvut.cz/icir/

This is such a good illustration! Too bad I didn't have the idea when I wrote that silly little paper a few years ago. Anyway, remember folks: torch.manual_seed(3407) is all you need No other seed had been subject to as much scrutiny as this one And it's all yours for free!

🤖 Thrilled to share the Call for Papers for Greeks in AI 2026! 🇬🇷 Greeks in AI 2026 📍 Eugenides Foundation, Athens, Greece 📅 15–17 July 2026 We invite submissions presenting recent advances, ongoing research, and emerging ideas in Artificial Intelligence and Machine Learning.

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 @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

Sleeping while waiting on an “anywhere in the world” paper decision release. #CVPR2026

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 👇

BBoxMaskPose v2: Expanding Mutual Conditioning to 3D Miroslav Purkrabek, Constantin Kolomiiets, Jiri Matas tl;dr: sota in human pose estimations, especially for the hard cases arxiv.org/abs/2601.15200

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

🚀New task: Instance-level Image+Text→Image Retrieval 🔎Given a query image + an edit (“during night”), retrieve the same specific instance after the change — not just any similar object. 🛢New dataset on HF: i-CIR huggingface.co/datasets/bil... 🔥Download, run, and share results!

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👇

✨This NASA/ESA/CSA #Webb Space Telescope image shows the Westerlund 1 cluster, a group of massive stars located in our galaxy which are nearly as bright as a million Suns each. 🌌🎄🧪🔭 🔗 esa.int/ESA_Multimedia/Images/2024/10/The_exotic_stellar_population_of_Westerlund_1

Evaluate your policy on REALM - our new real-to-sim validated benchmark for generalization in robot manipulation! REALM is a good real-world proxy, evidenced by the high correlation with real-world evals. ALSO: Follow the rising star @msedlacek.bsky.social and ask him any questions about REALM!

📣 i-CIR dataset (NeurIPS 25) is now on @hf.co. 🚀Easier download + better discoverability + WebDataset shards for large-scale use (~750K images). 🤗 Grab it here: huggingface.co/datasets/bil... #computervision #retrieval #datasets #huggingface #NeurIPS

Yejin Choi on whether small companies or Labs can compete with big ones on AI and LLMS. Neurips 2025 invited talk.

Heading to #NeurIPS2025? Come by Poster Session 6, Fri 16:30, #4514 🧵 We present instance-level composed image retrieval, the new i-CIR dataset, and our training-free method BASIC. Drop in and say hi!

🤞🏾A few days left for #CVPR submissions. 🪩 If submitting a paper on composed image retrieval, test your method on i-CIR, the real-world, truly compositional dataset. #cvpr2026 #composed_image_retrieval #image_retrieval

🎉 Instance-level Composed Image Retrieval @ #NeurIPS2025 🎨 Task: given (image of an object instance) + (text modification), retrieve photos of that exact instance under the change. E.g.: Temple of Poseidon 🏛️ ➕ during sunset 🌅 📦 Project page: vrg.fel.cvut.cz/icir/

Instance-Level Composed Image Retrieval @billpsomas.bsky.social George Retsinas @nikos-efth.bsky.social Panagiotis Filntisis,Yannis Avrithis, Petros Maragos, Ondrej Chum, @gtolias.bsky.social tl;dr: condition-based retrieval (+dataset) - old photo/sunset/night/aerial/model arxiv.org/abs/2510.25387

🚀 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/

🚨 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

Our remote sensing foundation model Galileo has been accepted to ICML 2025! Galileo outperforms state-of-the-art across different input data modalities and shapes, and using it requires only minimal data and compute. More at: arxiv.org/abs/2502.09356

Can you train a performant language model using only openly licensed text? We are thrilled to announce the Common Pile v0.1, an 8TB dataset of openly licensed and public domain text. We train 7B models for 1T and 2T tokens and match the performance similar models like LLaMA 1 & 2

We will be presenting the 🍄 FungiTastic 🍄, a multimodal, highly challenging dataset and benchmark covering many ML problems at @fgvcworkshop.bsky.social CVPR-W on Wednesday! ⏱️ 16:15 📍104 E, Level 1 📸 www.kaggle.com/datasets/pic... 📃 arxiv.org/abs/2408.13632 @cvprconference.bsky.social