output
20062026
most citedA review: Deep learning for medical image segmentation using multi-modality fusion

677 citations

researchers with a paper here
collaborating institutions

254 papers

cs.CV2026

Ev-YOLO: Uncertainty-Aware Object Detection via a Unified Evidential Formulation

Simon Barbarit-Gaboriau, Hind Laghmara, Rémi Boutteau +1

Reliable uncertainty estimation is essential for deploying object detectors in autonomous systems operating in uncertain environments. Evidential Deep Learning (EDL) provides a pri…

math.ST2026

Two-sample test with Wasserstein distance on Gaussian samples based on a log-normal approximation

Johann Clément-Cottuz, Maxime Bérar, Gilles Gasso

In this article, we propose a two-sample test based on the Wasserstein 2-distance between two 1D samples, where the first sample is assumed to be Gaussian based on an approximation…

cs.SI2026

A spatio-temporal graph-based model for team sports analysis

Camille Grange, Quentin Bourgeais, Rodolphe Charrier +4

Team sports represent complex phenomena characterized by both spatial and temporal dimensions, making their analysis inherently challenging. In this study, we examine team sports a…

cs.HC2026

Exploring the role of embodiment on intimacy perception in a multiparty collaborative task

Amine Benamara, Céline Clavel, Brian Ravenet +2

During collaborative board games, cohesion represents a key aspect to define a well functionning group. From the success of the task to the developement of interpersonal relationsh…

stat.ME2025★ 1 cited

Generalized random forest for extreme quantile regression

Lucien M. Vidagbandji, Alexandre Berred, Cyrille Bertelle +1

Quantile regression is a statistical method which, unlike classical regression, aims to predict the conditional quantiles. Classical quantile regression methods face difficulties,…

cs.AI2025

Deep Reinforcement Learning with anticipatory reward in LSTM for Collision Avoidance of Mobile Robots

Olivier Poulet, Frédéric Guinand, François Guérin

This article proposes a collision risk anticipation method based on short-term prediction of the agents position. A Long Short-Term Memory (LSTM) model, trained on past trajectorie…