Bill Psomas

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 👇

🚨 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! 🌴

@weitong8591 @majti89 Thanks a lot 😊🥳

@bill_psomas @majti89 Thanks! Congrats on your highlight, too!🥳🥳

Our paper has been accepted as an oral at #CVPR2026 See you in Denver! Feel free to check the paper & code (links below). Discussions are very welcome! Global-Aware Edge Prioritization for Pose Graph Initialization arxiv: arxiv.org/pdf/2602.21963 code: github.com/weitong8591/gl…

@CatGodSandHive 😊😉

@bill_psomas Seeing a fresh proposal evolve into a CVPR highlight reaffirms the power of bold research bets (pity it can't levitate like me)

🎉 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? 🎯 From idea → funded project → highlight paper.

@CSProfKGD Thanks a lot, Kosta 😊😊

@bill_psomas 💪

@CMHungSteven Thanks a lot 😊

@bill_psomas Congratulations 🎉

🤜🤛Grateful to @Tilemachos77, @stojnvla, Nikos Komodakis, and Giorgos Tolias. 📝Paper: arxiv.org/abs/2602.23339 💻Code: github.com/TilemahosArava… #CVPR2026 #ComputerVision #AI #MSCA #MSCAPF #RAG #DL #ML

🚀This week at #ELLIS Winter School: our #CVPR2026 paper Retrieve and Segment (RNS) is being presented by @Tilemachos77. 🎯RNS shows how a few pixel-level annotated images can boost Open Vocabulary Segmentation. 📝arxiv.org/pdf/2602.23339 #ComputerVision #FoundationModels

🚀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/billp… 📄Project page: vrg.fel.cvut.cz/icir/

#ECCV2026 🇸🇪 received 10,665 submissions going to review. That is an ECCV record. +24% vs #ECCV2024 (8,585) #ECCV2022: 6,773

How to win best paper awards? Find the idea - have good research taste: know what to work on - get good collaborators: catch mistakes early (how to get them? spend time into writing cold emails) - read papers: why? 1. know what is possible, 2. what to do to get some result, 3. build on the paper - ignore papers: don't be biased by bad ideas, hard to know what to discard and what to keep - work on the most important problem in your field - be fast: the exact same paper written 6 months earlier is the difference between groundbreaking and boring - find your comparative advantage: e.g., I am good at data work but bad a modeling work - get lucky: 1. you stumbled upon a good idea, 2. be uniquely positioned to solve the problem Do the research - get lucky again: the idea actually works - kill papers that are not working: start on the hardest subproblem to derisk (I find this the hardest!) - kill low impact papers: finish fast as blog posts or workshop papers - reprioritize ruthlessly: immediately drop what you're working on and pivot to higher impact project (this is super hard because you have to be confident in your taste) - put in unreasonable amounts of effort: good papers don't have poorly performed experiments - have focus: on the core idea, nothing else - the paper should be in a local optimum: no obvious improvements visible Write it down - have focus: on the core idea, nothing else - know your reader: pick a particular one and write tailored to that reader - your title is not so important: convince with the science, not clickbait - your abstract is: convey sense of importance - write a good intro: your results don't matter if the reader doesn't get the problem - each figure must stand on its own: because most reader skim through the paper - write a good conclusion: moment of reflection, not just abstract in past tense - write well: read it out loud to catch things you would not otherwise After writing - get lucky one last time: 1. it's not too early, 2. it's still a hot topic, 3. nobody else did it first, 4. the committee likes it - be persistent: often multiple submissions are required Obviously don't just have the award as a goal, just use this to write impactful papers! Great post by Nicholas Carlini! nicholas.carlini.com/writing/2026/h…

#GreeksInAI #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NLP #ComputerVision #Robotics #MultimodalAI #TrustworthyAI #AIResearch #Innovation #Greece #Athens

Important dates 📝 Submission deadline: 25 May 2026 📩 Notification of acceptance: 1 June 2026 🎤 Dates of the event: 15–17 July 2026 This is a great opportunity to share your work, meet the Greek AI community, and help strengthen the AI ecosystem in Greece and beyond.

🤖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.

What's My JND? 0.0044 Can you beat it? keithcirkel.co.uk/whats-my-jnd/?…

7/7 Resources 📄 Paper: arxiv.org/abs/2602.23339 Code: github.com/TilemahosArava… Joint work with: Tilemachos Aravanis, Vladan Stojnić, Nikos Komodakis, and Giorgos Tolias. We also thank Noa Garcia, Yiannis Kalantidis, Evangelos Kazakos for the feedback. See you @ #CVPR2026

6/n 𝑷𝒆𝒓𝒔𝒐𝒏𝒂𝒍𝒊𝒛𝒆𝒅 𝑺𝒆𝒈𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏 𝑹𝑵𝑺 can easily be employed for 𝒑𝒆𝒓𝒔𝒐𝒏𝒂𝒍𝒊𝒛𝒆𝒅 𝒔𝒆𝒈𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏 using a few examples of a specific instance, letting it 𝒔𝒆𝒑𝒂𝒓𝒂𝒕𝒆 𝒕𝒉𝒂𝒕 𝒊𝒏𝒔𝒕𝒂𝒏𝒄𝒆 𝒇𝒓𝒐𝒎 𝒊𝒕𝒔 𝒃𝒓𝒐𝒂𝒅𝒆𝒓 𝒄𝒍𝒂𝒔𝒔.

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👇🏼