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,...

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...

This.

🌟 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

tl;dr: DyNNs adapt the computation resources to the input complexity. Here we present a survey logically organizing different DyNN approaches in Computer Vision, coupled with the discussion of preliminary Sensor Fusion applications.

👉 Also comes with an awesome list: github.com/fabiomontell...

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...

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

More to follow with @rgring.bsky.social, @lanalpa.bsky.social and @sscardapane.bsky.social

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

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...

More to follow with @rgring.bsky.social , @lanalpa.bsky.social and @sscardapane.bsky.social

Why I'm quitting the Washington Post Democracy can't function without a free press

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...

Writing a good scientific paper

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...

Overview of paper browser. A cluster for reinforcement learning is selected.

Paper Browser: only papers assigned to "physical models - physics" are shown.

Paper Browser: Filtered by author "Hoover" and detail is shown

Paper Brower: ZOOOOM in

🎺 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-...