Super-stoked to release this project with @nicolang.bsky.social & Team! Check it out at the respective links, and test the demo to super-resolve Sentinel-2 satellite images anywhere on earth 🌍 🔍

Ultimate test for copilots in Cursor - extract the implementation of some object detector from mmdet abstraction hell.

Thrilled to announce "Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation" is accepted as a Spotlight (5%) at #ICLR2025! Our model MM-FSS leverages 3D, 2D, & text modalities for robust few-shot 3D segmentation—all without extra labeling cost. 🤩 arxiv.org/pdf/2410.22489 More details👇

Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? 🤔 It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️

Oh the sweet sweet bliss of getting a new computer to set up. The satisfaction of avoiding past mistakes, mixed with the inevitability of future mistakes.

Fresh out of the AI oven, ready to be served! 🍽️🤖 Major improvements from previous iterations. Test it now on Huggingface Spaces: huggingface.co/spaces/Kusht... #Whisper #AI #Shqip #Albanian #Kosovo

I am looking for TikTok video data, open to collaborating if the fit is right. Specifically would love something like a large random sample of videos in English. Ideally would be “random” across some hashtag distribution but that might really be infeasible.

From San Diego to New York to Copenhagen, wishing you Happy Holidays!🎄

Wrapping up a great week of events at the Centre before the holidays ✨

Computer Vision: Fact & Fiction is now available on YouTube 🙌🏼 I made a playlist for it with the seven chapters. Enjoy this time capsule from two decades ago!

Honored to receive the Jorck's Fund Research Award (DKK450,000) for my research and teaching in generative AI given at the Danish Supreme Court! 🎉 Grateful for the incredible support of my PhD students, postdocs, collaborators and family. 🙏 Details: www.dtu.dk/english/news... Photo: Niels Hougaard

This simple pytorch trick will cut in half your GPU memory use / double your batch size (for real). Instead of adding losses and then computing backward, it's better to compute the backward on each loss (which frees the computational graph). Results will be exactly identical

New Starter Pack: Pioneer Centre for AI researchers

I've never seen a more polished paper teaser video than this one. The 3D Gaussians even cast shadows! fnzhan.com/Evolutive-Re...

Now you can "play" CS:GO in a neural network directly in the browser: next.journee.ai/xyz-diamond

Come by our poster session tomorrow! 🗓️ West Ballroom A-D #6104 🕒 Thu, 12 Dec, 4:30 p.m. – 7:30 p.m. PST @madstoftrup.bsky.social and I are presenting LoQT: Low-Rank Adapters for Quantized Pretraining: arxiv.org/abs/2405.16528 #Neurips2024

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander Schwing, Zhicheng Yan tl;dr: multi-view decoder blocks/Cross-Reference-View attention blocks->DUSt3R arxiv.org/abs/2412.06974

With @neuripsconf.bsky.social right around the corner, we’re excited to be presenting our work soon! Here’s an overview (1/5)

Here’s a second example of using ChatGPT o1 for an old multiview geometry homework problem. This time I uploaded a screenshot. (1/5)

Here’s a starter pack with members of our lab that have joined Bluesky

Does anyone know of any feeds (or similar) for student internship opportunities in ML/CV/NLP?

I'm recruiting 1-2 PhD students to work with me at the University of Colorado Boulder! Looking for creative students with interests in #NLP and #CulturalAnalytics. Boulder is a lovely college town 30 minutes from Denver and 1 hour from Rocky Mountain National Park 😎 Apply by December 15th!

I recently gave a tutorial on the DUSt3R paper (web: dust3r.europe.naverlabs.com, paper: tinyurl.com/5t2ks575, code: github.com/naver/dust3r) in a research group meeting. In case you missed it, didn’t understand it or would like to hear some perspectives on why it’s such a cool idea, read on… 1/23

Ever wanted to train your own 13B Llama2 model from scratch on a 24GB GPU? Or fine-tune one without compromising performance compared to full training? 🦙 You now can, with LoQT: Low-Rank Adapters for Quantized Pretaining! arxiv.org/abs/2405.16528 1/4

Logging on! 🧑‍💻🦋 We're the Belongie Lab led by @sergebelongie.bsky.social. We study Computer Vision and Machine Learning, located at the University of Copenhagen and Pioneer Centre for AI. Follow along to hear about our research past and present! www.belongielab.org