Kosta Derpanis
@CSProfKGD
#CS Assoc Prof @YorkUniversity, #ComputerVision Scientist Samsung #AI, @VectorInst Faculty Affiliate, TPAMI AE, @ELLISforEurope Member #ICCV2025 Publicity Chair
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Lecture slides for my "Introduction to #ComputerVision" and "#DeepLearning in Computer Vision" courses. 🆕 Gaussian Splatting 🆕 Flow Matching The included videos do not contain voiceovers yet, planned for a future revision.
It was a wonderful visit to the @ETH_AI_Center, including tons of great questions! Hope to be back soon.
I'm in Switzerland next week! On Friday, October 17, I'll be giving a talk at @ETH_AI_Center on memorization in diffusion models. Please join if you're around!
One of the reasons for spending sabbatical time at CMU, was to meet new people. Just finished a GREAT walk and talk with @tarashakhurana It was a pleasure meeting you Tarasha, keep in touch! Check out her work: cs.cmu.edu/~tkhurana/
Wish I was in Toronto for your talk @vincesitzmann! Checking it out now. youtu.be/B3digzhanUY?si…
youtube.com
YouTube
Vincent Sitzmann -Modeling the world (and yourself) from vision
The first rule of reading groups
I remember seeing backprop as a senior in undergrad in the late 90s, frankly I couldn’t follow. Much of the prezi was tied to a specific architecture with sigmoids. It was only years later when I saw the modular approach did it make sense!
Teaser of this week's lecture on Transformers (ver. 0.0001) in my #DeepLearning in #ComputerVision course.
Spending the day working on my Transformer lecture for my #DeepLearning in #ComputerVision course. Going to be a long night …
#KostasThoughts: Core math in many #ComputerScience programs is inadequate for studying #ComputerVision & #MachineLearning. Want to study these subjects? Take (single/multi-variable) calculus, linear algebra, statistics & probability. Your future self will thank you 😉
On the topic of books, I highly recommend Gilbert Strang, Linear Algebra and Its Applications. Must read for #computervision researchers.
Recommended to generations of #ComputerVision researchers. Gilbert Strang, Linear Algebra and Its Applications YouTube playlist of Strang lectures: youtube.com/playlist?list=…
Check out this BEAUTIFUL interactive blog about cameras and lenses by @BCiechanowski. ciechanow.ski/cameras-and-le…
The first rule of sharing arXiv links
When on the PhD market, be on the lookout for these type of supervisors, and RUN!
The conference paper acceptance process.
⚠️ Overleaf is currently down. We are still actively investigating. We apologize for any inconvenience, and thank you for your patience. You can always view the most up-to-date status at status.overleaf.com
Exploratory causal inference in SAEnce: a new unsupervised approach to discover causal effects in exploratory scientific experiments. Co-led by @tommaso_mncttn and @riccardocadeii
Announcing the completely reimagined vLLM TPU! In collaboration with @Google, we've launched a new high-performance TPU backend unifying @PyTorch and JAX under a single lowering path for amazing performance and flexibility. 🚀 What's New? - JAX + Pytorch: Run PyTorch models on…
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