activity
20212025
most citedSoccerNet 2023 Challenges Results

28 citations · 38 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2025★ 2 cited

Devstral: Fine-tuning Language Models for Coding Agent Applications

Abhinav Rastogi, Adam Yang, Albert Q. Jiang +100

We introduce Devstral-Small, a lightweight open source model for code agents with the best performance among models below 100B size. In this technical report, we give an overview o…

cs.SD2025

Voxtral

Alexander H. Liu, Andy Ehrenberg, Andy Lo +103

We present Voxtral Mini and Voxtral Small, two multimodal audio chat models. Voxtral is trained to comprehend both spoken audio and text documents, achieving state-of-the-art perfo…

cs.CV2023

COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers

Julien Denize, Mykola Liashuha, Jaonary Rabarisoa +2

We present COMEDIAN, a novel pipeline to initialize spatiotemporal transformers for action spotting, which involves self-supervised learning and knowledge distillation. Action spot…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.CV2022★ 8 cited

Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning

Julien Denize, Jaonary Rabarisoa, Astrid Orcesi +1

Contrastive representation learning has proven to be an effective self-supervised learning method for images and videos. Most successful approaches are based on Noise Contrastive E…

cs.CV2021

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning

Julien Denize, Jaonary Rabarisoa, Astrid Orcesi +2

Contrastive representation learning has proven to be an effective self-supervised learning method. Most successful approaches are based on Noise Contrastive Estimation (NCE) and us…