Some of our IMAGINE members at #CVPR2025

#CVPR2025 Sat June 14 (PM) 🎬 Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs @lucasventura.com, Antoine Yang, Cordelia Schmid, @gulvarol.bsky.social 📄 pdf: arxiv.org/abs/2504.00072 🌐 webpage: imagine.enpc.fr/~lucas.ventu... 💻 code: github.com/lucas-ventur...

We're hiring! IMAGINE @ École des Ponts (Paris area) is opening a 4-year "CV for X" researcher position: – competitive salary – no teaching load – starting pkg ≈ 2 PhDs – goal: impactful core AI + X (climate, biodiversity, robotics...) Apply by May 31: imagine-lab.enpc.fr/wp-content/u...

Introducing Chapter-Llama #CVPR2025, a framework for 𝐯𝐢𝐝𝐞𝐨 𝐜𝐡𝐚𝐩𝐭𝐞𝐫𝐢𝐧𝐠 using Large Language Models! 🎬🦙 Check it out: 📄 Paper: arxiv.org/abs/2504.00072 🔗 Project: imagine.enpc.fr/~lucas.ventu... 💻 Code: github.com/lucas-ventur... 🤗 Demo: huggingface.co/spaces/lucas...

🔥🔥🔥 CV Folks, I have some news! We're organizing a 1-day meeting in center Paris on June 6th before CVPR called CVPR@Paris (similar as NeurIPS@Paris) 🥐🍾🥖🍷 Registration is open (it's free) with priority given to authors of accepted papers: cvprinparis.github.io/CVPR2025InPa... Big 🧵👇 with details!

Get to know @gulvarol.bsky.social, Senior Researcher at École des Ponts ParisTech 🇫🇷 She's an ELLIS Scholar, member of ELLIS Unit Paris, former winner of the ELLIS PhD Award. Her research covers computer vision, vision & language, human motion generation & sign languages. #WomenInELLIS

Starter pack including some of the lab members: go.bsky.app/QK8j87w

🧩 Excited to share our paper "RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges" (arxiv.org/abs/2502.19955) accepted to #CVPR2025! We created a benchmark that systematically evaluates image matching methods across well-defined geometric difficulty levels. 🔍

🌍 Guessing where an image was taken is a hard, and often ambiguous problem. Introducing diffusion-based geolocation—we predict global locations by refining random guesses into trajectories across the Earth's surface! 🗺️ Paper, code, and demo: nicolas-dufour.github.io/plonk

🍏 New preprint alert! 🍏 PoM: Efficient Image and Video Generation with the Polynomial Mixer arxiv.org/abs/2411.12663 This is my latest "summer project" and it was so big I had to call in reinforcements (Thanks @nicolasdufour.bsky.social) TL;DR Transformers are for boomers, welcome to the future 🧵👇

PoM: Efficient Image and Video Generation with the Polynomial Mixer

Diffusion models based on Multi-Head Attention (MHA) have become ubiquitous to generate high quality images and videos. However, encoding an image or a video as a sequence of patches results in costly...

arxiv.org