Mauricio Delbracio
@mdelbra.bsky.social
Research Scientist at Google. All opinions are my own (🙄). 🇺🇾
The Power of Context: How Multimodality Improves Image Super-Resolution Kangfu Mei, Hossein Talebi, Mojtaba Ardakani, Vishal M. Patel @docmilanfar.bsky.social Mauricio Delbracio tl;dr: condition SR model on RGB+depth+segmentation (which you can predict from RGB)-> PROFIT arxiv.org/abs/2503.14503
We are thrilled to announce #Google as Platinum Sponsors for Khipu 2025! Thank you so much Google for helping make #KHIPU2025 a reality!
We're incredibly grateful to Hopper-Dean Family Foundation, our Diamond Sponsor, for their support of KHIPU 2025! Their partnership is key to making this event a success. #KHIPU2025
#KHIPU2025 starts tomorrow and we are thrilled to have Microsoft AI as a platinum sponsor! Thank you, #MicrosoftAI, for your generous support!
We are so excited to have Apple as a platinum sponsor for #KHIPU2025! Thank you, #Apple, for your valuable support!
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khipu.ai@khipu-ai.bsky.social · 2y agoYou can follow #KHIPU2025 live, at: khipu.ai/live/
Going over some old notes from a course by J.M. Morel I found this very nice paper with, what could be, the publication of the first random field manually generated. "Some informational aspects of visual perception" F Attneave, Psychological review, 1954.
It's an honor to receive this Outstanding recognition for our paper, InDI (w/ @docmilanfar.bsky.social). We thoroughly enjoyed the process of developing InD, especially the process of building a story from its fundamental principles. Check out a 15-minute talk: youtu.be/_VfyR9ChOFk
Inversion by Direct Iteration (InDI)
YouTube video by mdelbra
youtu.be
Peyman Milanfar@docmilanfar.bsky.social · 2y agoI'm delighted to note that our paper InDI has been selected as one of two Outstanding Paper awardees by the Transactions on Machine Learning @tmlr-pub.bsky.social We sincerely thank the expert reviewers, Action Editors, the Outstanding Paper Committee, and the Editors for this honor 1/3
It's an honor to receive this Outstanding recognition for our paper, InDI (w/ @docmilanfar.bsky.social). We thoroughly enjoyed the process of developing InD, especially the process of building a story from its fundamental principles. Check out a 15-minute talk: youtu.be/_VfyR9ChOFk
Inversion by Direct Iteration (InDI)
YouTube video by mdelbra
youtu.be
Peyman Milanfar@docmilanfar.bsky.social · 2y agoI'm delighted to note that our paper InDI has been selected as one of two Outstanding Paper awardees by the Transactions on Machine Learning @tmlr-pub.bsky.social We sincerely thank the expert reviewers, Action Editors, the Outstanding Paper Committee, and the Editors for this honor 1/3
Applications are now open👇🏼💪🏼
Mauricio Delbracio@mdelbra.bsky.social · 2y ago📣 Attenti: Early-career academics! Apply for the Google Research Scholar program starting Dec 20th. Get funding for research relevant to Google & build long-term collaborations. Deadline: Jan 27th. This is a global program 👇 research.google/programs-and...
📣 Attenti: Early-career academics! Apply for the Google Research Scholar program starting Dec 20th. Get funding for research relevant to Google & build long-term collaborations. Deadline: Jan 27th. This is a global program 👇 research.google/programs-and...
Research scholar program
Overview
research.google
Yesterday I was very lucky to present in this beautiful seminar room at la universidad de la república 🇺🇾
Radon Transform (RT) was formulated in 1917 but remained useless in practice until CT scanners were invented in the 60s But RT isn't just for CTs. It's a sort of generalization of marginals in probability RT g(p,θ): Shoot rays at θ+90 & offset p, measure line integrals of f(x,y) along the ray 1/n
Saw some posts out there recommending to skip books... The fundamentals don't change much. Learn the fundamentals from books. This is a great book if you are interested in the fundamentals of Machine Learning:
#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 😉
QED: The Strange Theory of Light and Matter, by R. Feynman. What a gift of making the intricate accessible.
