Another accepted paper: "A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation" by R Camarasa CAMARASA Robin, D Bos, J Hendrikse, P Nederkoorn, M. E. Kooi, A. van der Lugt, & M. de Bruijne. Free for everyone to enjoy: melba-journal.org/article/27655

Insightful work! Multi-model ML with a gigantic dataset: 5654 of 7764 randomized patients (71%) with a median follow-up of 11.4 years. #ml #ai #cancer #prostate #computervision #imaging

Very nice event for students curious about applied #ML research!

We’re joining forces with The Francis Crick Institute! We will be setting up a research laboratory to bring together the world-renowned research institute’s expertise with machine learning and AI techniques to advance our understanding of biology. Learn more: dpmd.ai/dm-crick

There is one big reason we love the logarithm function in machine learning. Logarithms help us reduce complexity by turning multiplication into addition. You might not know it, but they are behind a lot of things in machine learning. ↓ Here is the entire story. ↓

Nice #ML and #biotech initiative!

Scrutinazing the past as never before! Very exciting! #Webb #telescope

As a postdoc, I spend 70% of my income on rent alone. I am often not able to afford clothes and groceries without putting more on my credit card. I do not know what is going to happen with student loans kick back into repayment. Postdocs are struggling in CA. UAW Local 5810

Do you remember when you joined Twitter? I do! #MyTwitterAnniversary

Would you like to segment vessels in #7T #brain #MRA without perfect training labels? Research paper on deformation-aware learning DS6 has been published by MDPI providing a solution. Read more doi.org/10.3390/jimagi… Florian Dubost, PhD Gerda Bortsova #deeplearning #segmentation

Woa, this is incredible, looks like the inside of a dream! Reminds me of the movie Waking Life. thefocuspull.com/features/fresh…

Hey everyone, I will give a talk on explainable #ML and #medical #computervision at the #ISACT autumn school this November (isact.cogsy.de) in Orlando, Florida. Hope to see you there, the program looks really cool. Definitely a nice event for graduate students and #PhDs!

Not only science! An Autumn School is also fun! Here are some pictures from the #ISACT2022 Night at @AmwayCenter watching the Orlando Magic NBA match against Minnesota Timberwolves. Exciting experience! Rupali Khatun Cataldo Musto #FlorianDubost Soumick Chatterjee, PhD (with heart) and others...

Is scaling your ML experiments really that easy? I have summarized weeks of learning and experimenting with Amazon Web Services (AWS) and SageMaker in a one-hour video and 7 steps GitHub tutorial. #machinelearning #ml #tensorflow #cloud #aws #sagemaker github.com/fpgdubost/sage…

The future of education: An Immersive experience with #AR #AugmentedReality #education #Metaverse #DigitalTransformation #MixedReality #IoT #edtech

I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks,

Oldies but goldies: A. Efros and T. Leung, Texture Synthesis by Non-parametric Sampling, 1999. The first copy-based texture synthesis method. people.eecs.berkeley.edu/~efros/researc…

How do we create realistic models of dressed humans directly from visual data? We introduce PhysAvatar, a framework that estimates the shape, appearance, and physical parameters of dressed human avatars from multi-view videos. Page: qingqing-zhao.github.io/PhysAvatar (1/6)

Video to 4D is an incredibly challenging task! Excited to announce that Dynamic Gaussian Marbles was accepted to #SIGGRAPHAsia2024 with Adam W. Harley Mikaela Angelina Uy Federico Tombari Florian Dubost, PhD Gordon Wetzstein Leonidas Guibas. Check out our webpage and code! geometry.stanford.edu/projects/dynam…

Introducing Android XR, our new platform for headsets and glasses built for the Gemini era