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Juliette Bertrand

@juliettebertrand.bsky.social
20 followers 46 following 0 posts
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Reposted by Juliette Bertrand
Mehdi S. M. Sajjadi @msajjadi.com · 10/07/2025
Scaling 4D Representations Self-supervised learning from video does scale! In our latest work, we scaled masked auto-encoding models to 22B params, boosting performance on pose estimation, tracking & more. Paper: arxiv.org/abs/2412.15212 Code & models: github.com/google-deepmind/representations4d
Scaling 4D Representations
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Reposted by Juliette Bertrand
Christian Wolf @chriswolfvision.bsky.social · 21/05/2025
We have an open internship position on socially aware navigation, human aware world models etc. At @naverlabseurope.bsky.social in Grenoble (Meylan), France. careers.werecruit.io/en/naver-lab...
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Reposted by Juliette Bertrand
Julien Mairal @jmairal.bsky.social · 05/05/2025
The PAISS summer school is back with an incredible line of speakers (and more to come). Spread the word !
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Reposted by Juliette Bertrand
Loïc Landrieu @loicland.bsky.social · 30/04/2025
AnySat has been accepted as a ✨ highlight at #CVPR2025! See you in Nashville 🎉 We’ll also be presenting this work at: 📍 @egu.eu on 02/04 in Vienna 📍 @esa.int / NASA Workshop on Foundation Models on 05/04 in Rome
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Reposted by Juliette Bertrand
Vladan Stojnić @stojnicv.xyz · 27/03/2025
We are happy to share LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation. LPOSS is a training-free method for open-vocabulary semantic segmentation using Vision-Language Models.
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Reposted by Juliette Bertrand
Giorgos Kordopatis-Zilos @gkordo.bsky.social · 27/02/2025
ILIAS is a large-scale test dataset for evaluation on Instance-Level Image retrieval At Scale. It is designed to support future research in image-to-image and text-to-image retrieval for particular objects and serves as a benchmark for evaluating foundation models and retrieval techniques.
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Reposted by Juliette Bertrand
NAVER LABS Europe @naverlabseurope.bsky.social · 21/02/2025
Welcome to NAVER LABS Europe on Bluesky! We chose 'LABS blue' to kickoff our posts & we'd appreciate it if you could share this one widely tinyurl.com/2nt9jdnv 😊 #hiring #jobs #internships
Ad on research positions and internships at NAVER LABS Europe, Grenoble, France in February 2025
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Reposted by Juliette Bertrand
Juliette Marrie @jlt-m.bsky.social · 31/01/2025
(1/3) Happy to share LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes, that uplifts visual features from models such as DINOv2 (left) & CLIP (mid) to 3DGS scenes. Joint work w. @dlarlus.bsky.social @jmairal.bsky.social Webpage & code: juliettemarrie.github.io/ludvig
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Reposted by Juliette Bertrand
Alexandre Morgand, PhD @alexmrgd.bsky.social · 21/01/2025
Physics IQ Benchmark: Do generative video models learn physical principles from watching videos? TL;DR: comprehensive benchmark dataset; various physical principles (fluid dynamics, optics, solid mechanics, magnetism and thermodynamics); Performed on recent video generators
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Reposted by Juliette Bertrand
Transactions on Machine Learning Research @tmlrorg.bsky.social · 08/01/2025
Outstanding Finalist 2: “DINOv2: Learning Robust Visual Features without Supervision," by Maxime Oquab, Timothée Darcet, Théo Moutakanni et al. 5/n openreview.net/forum?id=a68...
openreview.net
DINOv2: Learning Robust Visual Features without Supervision
The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision. These models could...
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