Fabio Montello
@zioictus.bsky.social
PhD student in Computer Vision @ DTU 🇩🇰 Reading | Climbing | Nature | Improv | Chess | Photography
It has been a long journey to bring this survey to life and I’m happy to see it officially accepted in Elsevier’s Image and Vision Computing! 🚀 Check out the full paper and the curated "Awesome" list at the end of the post! 👇
Lazaros Nalpantidis@lanalpa.bsky.social · 3mo agoStatic neural networks are powerful, but the future of efficient AI lies in Dynamic Neural Networks (DyNNs)—models that adapt their structure or parameters during inference. 🏎️ ↔🐢
Join us and revolutionize Life Science Lab Automation! 🎓🤖💉 I am hiring a Postdoc in Robotics and Computer Vision for Life Science Laboratory Automation, in Copenhagen, Denmark. Is that you? 🙋♀️ efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
Postdoc in Robotics and Computer Vision for Life Science Laboratory Automation - DTU Electro
As part of a joint research collaboration between DTU and Novo Nordisk, we are looking for a postdoc to join our multidisciplinary research program focusing on the interplay between AI-Protein design,...
efzu.fa.em2.oraclecloud.com
🌟 Exciting News! 🌟 We're thrilled to announce the launch of our website for SteeredMarigold 🚀 steeredmarigold.github.io. Our cutting-edge method helps to overcome limitations of depth sensors by completing missing areas in the depth maps 🤖. The code is coming! #DepthCompletion #DepthEstimation
Steered Marigold
Steering diffusion-based monocular estimator towards depth completion in a plug-and-play manner.
steeredmarigold.github.io
Our paper “A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion" is out as preprint! By myself, @sscardapane.bsky.social, @rgring.bsky.social and @lanalpa.bsky.social 📄 arxiv.org/abs/2501.07451
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion
Model compression is essential in the deployment of large Computer Vision models on embedded devices. However, static optimization techniques (e.g. pruning, quantization, etc.) neglect the fact that d...
arxiv.org
First little project of the year: an awesome collection of papers on Dynamic Neural Networks for Computer Vision and Sensor Fusion! Each paper comes with a brief summary and code link. 👉 github.com/DTU-PAS/awes...
GitHub - DTU-PAS/awesome-dynn-for-cv: Awesome collection of DyNN papers for Computer Vision and Sensor Fusion applications :sparkles:
Awesome collection of DyNN papers for Computer Vision and Sensor Fusion applications :sparkles: - DTU-PAS/awesome-dynn-for-cv
github.com
Posting this story about how Ann Telnaes got censored not least bc it'll disseminate the image Jeff Bezos censored. anntelnaes.substack.com/p/why-im-qui...
Why I'm quitting the Washington Post
Democracy can't function without a free press
anntelnaes.substack.com
For those who missed this post on the-network-that-is-not-to-be-named, I made public my "secrets" for writing a good CVPR paper (or any scientific paper). I've compiled these tips of many years. It's long but hopefully it helps people write better papers. perceiving-systems.blog/en/post/writ...
Writing a good scientific paper
perceiving-systems.blog
🎺 Here comes the official 2024 NeurIPS paper browser: - browse all NeurIPS papers in a visual way - select clusters of interest and get cluster summary - ZOOOOM in - filter by human assigned keywords - filter by substring (authors, titles) neurips2024.vizhub.ai #neurips by IBM Research Cambridge
Every experienced researcher has their own advice for writing scientific papers. Here's mine. users.cecs.anu.edu.au/~sgould/pape...
Check out this BEAUTIFUL interactive blog about cameras and lenses ciechanow.ski/cameras-and-...
