Kosta Derpanis (sabbatical in Zurich)

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Kosta Derpanis (sabbatical in Zurich)

Kosta Derpanis (sabbatical in Zurich)

@CSProfKGD

#CS Associate Prof @YorkUniversity, #ComputerVision Researcher, @VectorInst Affiliate, @UofT status only, @ELLISforEurope Member, #ECCV2026 Publicity Chair

Toronto, Ontario Katılım Ağustos 2015
199 Takip Edilen82K Takipçiler
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Kosta Derpanis (sabbatical in Zurich)
Lecture slides for my "Introduction to #ComputerVision" and "#DeepLearning in Computer Vision" courses. 🆕 Gaussian Splatting 🆕 Flow Matching 🆕 Sparse Autoencoders The included videos do not contain voiceovers yet, planned for a future revision.
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Alexandre TL
Alexandre TL@AlexandreTL2·
So I have been busy these last few months! Happy to present : The Little Book of Reinforcement Learning
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Christopher Potts
Christopher Potts@ChrisGPotts·
I now have a thread in which Claude, called out for lying about evidence, says, "I said it because it made for a tidy closing note, not because it was true". A stark example of a common pattern. I hope people keep these stories in mind as they rely on these products for science.
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Abakcus
Abakcus@abakcus·
“Escher! Get your ass up here!”
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Lily Goli
Lily Goli@lily_goli·
Working on vision for robotics, biology, or chemistry? Passionate about pushing science forward? The submission deadline for our #ECCV2026 workshop, Geometric Intelligence, is coming up on July 20! Don’t forget to submit your work: geo-int.github.io
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Alexandre TL
Alexandre TL@AlexandreTL2·
The book, along with its supplementary material, is available for free here: github.com/alxndrTL/littl… Or you can buy a paperback copy on Amazon by looking up its name (sold at cost) It is a much revised version of a video series I gave in 2020 here: @alexandretl/courses" target="_blank" rel="nofollow noopener">youtube.com/@alexandretl/c…
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Andrea Bajcsy
Andrea Bajcsy@andrea_bajcsy·
Robots 🤖 shouldn't think 🤔 equally hard about everything! Andrew led this great work on learning when to spend test-time compute on diffusion policies: eg. few denoising steps for free-space motion, many samples to explore grasp modes. Learned by interacting w/ a frozen policy!
Andrew Zou Li@andrewzouli

Diffusion / flow-based robot policies unlock two axes of test-time scaling: sequential (denoising steps) and parallel (samples). Both improve performance but cost latency on a robot, and knowing which to scale a priori is often unclear. ELASTIC learns it via RL!

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Siddhartha Gairola
Siddhartha Gairola@sidgairo18·
Sweet end to #ICML2026 and Seoul 😃💪
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Lukas Ziegler
Lukas Ziegler@lukas_m_ziegler·
This is the capital of robotics! 🌁 Silicon Valley is home to so many physical AI companies that you could spend a month visiting them and still not see even 10% of them (trust me, I tried). It took me 3x to create this map as it did to create any other. And the truth is, it's still incomplete. Let’s see why this is the case. So, the Bay Area is the world's leading ecosystem for robotics startups, bringing together top AI talent, top universities, experienced founders, and unmatched access to capital. The region is anchored by Stanford University and University of California, Berkeley, two of the world's top universities for AI and robotics. They produce a constant stream of researchers, founders, and breakthrough technologies. The Bay Area is also home to many of the companies shaping the future of robotics and AI, including @Figure_robot, @physical_int , and major AI labs such as @OpenAI. This concentration of talent makes it easy for startups to recruit experienced engineers and collaborate with leaders in embodied AI. Not mentioning that it  is also home to leaders such as @NVIDIARobotics , whose headquarters and leadership in AI chips power much of today's robotics revolution, and @Tesla, whose work on autonomous driving and humanoid robots has created a deep pool of robotics, AI, and manufacturing talent. Perhaps its biggest advantage is access to capital and ambition. The Bay Area has the world's deepest network of venture capital firms, serial entrepreneurs, and technical leaders who are willing to fund bold, long-term robotics companies. In the comments I'll post the companies from the ecosystem. ‼️ Note that Bay Area has >300 robotics companies, research labs, and innovation hubs, so this is a curated selection of the notable product companies, not an exhaustive census! P.S. I'm constantly working on improving these maps, so if your company is missing, please DM me with basic info about the co, and I will include it in the next release. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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Ishan Khatri
Ishan Khatri@i_ikhatri·
@CSProfKGD oh wow you haven't seen this one yet? it's a classic, one of the best movies ever made imo and I'm not just biased because it shares a name w/ my favorite company ever ;)
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