#CS Associate Prof @YorkUniversity #ComputerVision Researcher, @VectorInst Affiliate @UofT status only, @ELLISforEurope Member, X-social media chair 4all vision

Toronto, Ontario
I’ve launched 2 new course websites for my Introduction to #ComputerVision and #DeepLearning in Computer Vision courses. 🆕 Gaussian Splatting 🆕 Flow Matching 🆕 Sparse Autoencoders 🆕 Lecture Notes (work in progress) The videos don’t include voiceovers, but that’s coming in a future revision 🤞 Share your feedback in the thread.
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Gift ideas for your prof 🤓
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Kosta Derpanis retweeted
Opus 5.5 designing LEGO 👀 I asked it to design a Microduck I can build with real LEGO pieces. It: > designed it life-size using 1113 real LEGO parts > verified: 3,204 connections, 0 collisions, every step buildable, centre of mass inside the feet 🤯 > made a 141-page LEGO-style booklet (237 steps) > priced every piece in the browser and prepared the orders on BrickLink
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Kosta Derpanis retweeted
You've probably seen this recommended 2-3 times on your TL by now but... i agree. Watch it. I think diffusion will take a little longer, but he pretty much nailed it imo.
My god this is such a good speech that every SWE needs to hear. You know what? Every person should hear it Keep the happy memories, eyes on the reality, be excited about the future. That’s the best that anyone can do
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Kosta Derpanis retweeted
(1/n) The number of research papers has gone wild. All generated by AI? I pulled stats from CVPR/ICCV/ECCV, NeurIPS/ICML/ICLR, SIGGRAPH/SA/ToG since 2006: 119k papers + 460k arXiv preprints Accepted/yr: 968 (2006) → 19,003 (2025) → 18,976 (2026 so far) Quite surprising ->🧵
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Committ a felony? Blame your AI.
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Kosta Derpanis retweeted
We'll present Déjà View as Oral at #NeurIPS 🎉 TL;DR: we beat VGGT-Ω on average with a 10x smaller, looped architecture. Check it out 👇
Do 3D reconstruction transformers really need a billion parameters, or are most of those layers just doing the same thing over and over? Introducing Déjà View: a single transformer block, looped K times, that matches or beats models 8–10× its size with lower compute. 🧵
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Visualization of the day: Video Tubelets (with audio)
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Teachable moment: Wasted opportunity. Start by looking at the prospective prof’s webpage. A prof’s email is not a general info centre. You have one shot. Make it count.
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Let’s give this a try 🤔
Call me old, but I ❤️ walking aimlessly through bookstores and discovering new books.
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Call me old, but I ❤️ walking aimlessly through bookstores and discovering new books.
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Kosta Derpanis retweeted
Now coming to a #NeurIPS2026 near you as a Spotlight 🔦!
Protein–ligand cofolding models are getting incredibly powerful… but do they have to be so slow? 🧬🐢💊 Our new preprint introduces a new flow-map framework called DeCAF for fast few-step cofolding — up to 5× faster while preserving sample quality on the SOTA Pearl model and 20x faster than Boltz 1x. ⚡🧵 📜 Blog: genesis.ml/news/genesis-mode… 🔗arXiv: arxiv.org/abs/2606.08375 Code (coming soon): github.com/genesistherapeuti…
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Kosta Derpanis retweeted
NextLat is going to NeurIPS 🎉
Next-token prediction is myopic. What if transformers learn to predict their own next latent state? 🌠 We present 𝗡𝗲𝘅𝘁-𝗟𝗮𝘁𝗲𝗻𝘁 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 (𝗡𝗲𝘅𝘁𝗟𝗮𝘁): a self-supervised learning method that teaches transformers to form compact world models for reasoning and planning. It also unlocks up to 3.3x faster inference via self-speculative decoding! 🚀
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Those who contribute to a conference should have registration priority over the general public.
Thanks #NeurIPS2026! To really show your appreciation, can I now purchase a Sydney registration? 😉
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#KostasThoughts: Seeing your former trainees succeed in life after the lab is incredibly rewarding.
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Kosta Derpanis retweeted
I’m finalizing my ICLR submissions and realizing how much I miss the “old school” way of writing papers. My favorite part of writing a paper used to be figuring out how to creatively present the results in visual form. My advisor insisted that figures were the most important anchors of a paper: the first thing reviewers would look at, and often the only thing they’d remember. I always start there, and try to fit all of my findings into a visual story, iterating on my figures in lieu of a first draft. Now we can have LLMs one-shot our graphics into homogeneous oblivion. I wonder how often people still ask, “What would make this paper even better?” I’m thinking about how someone with no background in the subject might read it versus how an expert might read it, and what would be in it for either of them. I’m thinking about the simplest, most representative example of the phenomenon I’m trying to measure and characterize, and how to put it right at the beginning so the reader has something concrete to carry through the paper. I’m debating how to introduce notation only insofar as it’s meaningful, instead of adding more clutter, so I can keep referring back to those pointers throughout the paper and ground all sections in a common vocabulary. I’m noticing related work sections shrink over the years or be demoted to placement just before the conclusion, and wondering how much that reflects a change in what we value. With 60k abstract registrations this year, it’s hard to imagine that someone else isn’t doing the exact same thing, if it hasn’t already been done. And if references only stretch back to a year ago at best, what’s the point of adding context no one is going to care about? And then I start wondering if I’m overthinking it. Maybe research communication has fundamentally changed. Maybe hardly anyone will read the paper, and I’m better off fitting everything interesting into the abstract.
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The School of Informatics at the University of Edinburgh is recruiting for a faculty position in Artificial Intelligence (#AI). Research focus The candidate's research focus may align with the following, non-exhaustive, list of topics (in no particular order): Perception (e.g., #computervision) and action (e.g., interactive decision-making systems) Continual, open-ended, self-improving AI Agentic AI, world models, and generative models Embodied perception and action Learning from interaction and reinforcement Decision-making under uncertainty Long-duration autonomy School of Informatics The School of Informatics was ranked #1 in the UK for research power in Computer Science and Informatics Times Higher Education ranking, based on the 2021 Research Excellence Framework (REF). It is the highest-ranked UK institution and one of the top two in Europe for AI, according to the CSRankings website (csrankings.org). For more information, please check out the School's website -- informatics.ed.ac.uk Edinburgh Edinburgh is an attractive city to live in; it is walkable, enjoys proximity to nature, and features a world-class cultural scene that includes attractions such as the Edinburgh International Festival or the Edinburgh Fringe. Edinburgh was ranked 1st in the 2022 Time-Out Index of the best cities in the world, which considered everything from scenic beauty, community spirit, public transport, walk-ability, restaurants, through to cleanliness. How to apply Deadline for applications is Oct 20th, 2026 Lecturer (i.e., Assistant Professor) in Artificial Intelligence elxw.fa.em3.oraclecloud.com/… Reader (i.e., Associate Professor) in Artificial Intelligence elxw.fa.em3.oraclecloud.com/…
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Kosta Derpanis retweeted
A nice note from @Michael_J_Black relevant to the (60,000?!) students putting the last hours of editing into #ICLR submissions. Don't write to prove that you know something. Research is teaching. It is communication. Write like it is "my brain reaching out to yours."
I’m as excited about the possibilities AI brings as anyone. I should be because I’ve worked on it since 1985. But I want to balance this excitement with a dose of humanity and what still makes people both special and necessary. Despite its nearly infinite knowledge, I still write better than Claude. Why? Precisely because I’m human. I understand my audience in a way Claude can’t and maybe never will. I understand what it means to be bored, confused, and distracted because I’ve been board, confused, and distracted. I’ve been moved to tears by words on a page. I have empathy for my reader because I too am a reader with a limited human brain. So, when I write, I write for you, dear reader. Your time is precious. I need to earn your attention. Writing is a very imperfect process of communication from one human to another. In contrast to my writing, Claude is brutalist. It assaults with declaratives. It fires off staccato jargon with no sympathy for a reader who is lost. Sure, you can coax it to behave but it doesn’t do this out of empathy for the reader because it lacks this. Claude’s default style reveals the true heart of the machine. I hope my writing also has a bit of style, a little be of me, in it. A trail of words guiding you into a little part of my mind. The words are a fingerprint left behind. Claude leaves a big greasy fingerprint that is unmistakable. In that sense it has style. But that style reveals its lack of empathy for the reader. The best word for it is “condescending”. What drives me to write this missive is some small creative spark and a human drive to share it. I woke up this morning with “a bee in my bonnet” about our societal enthusiasm and fear about AI. I need to write to articulate my thoughts to myself and hopefully to you. AI is getting very very good. But I’m still better at this and other things. I’m sure that you too are better than AI at what you do. Real humans are still more creative and more interesting than AI. I want facts from AI, but I want to know what humans think and feel. I hope we blunder onwards into the future writing, creating, and sharing in our wonderfully imperfect human way. If you read something written by me, know that it was written by me. It is my brain reaching out to yours without the filter of AI. My words. Imperfect. Like me and like you.
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9am weekend Costco run for Greek yogurt. Here in #Toronto it sells out fast daily! 6 still not enough for the week, but no fridge space 😒
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Visualization of the day: Video Tubelets (with audio)
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Knowing your dance background @alfcnz, I think you are going to like this one 😉
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