activity
20192026
most citedSoccerNet 2022 Challenges Results

37 citations · 60 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Horse Eye Blink Detection and Classification for Equine Affective State Assessment

João Alves, Signe Møller-Skuldbøl, Pia Haubro Andersen +1

Automated detection of equine facial action units (AUs) is a promising yet under-explored avenue for pain and affective state assessment in horses. Half and full-blink movements ar…

cs.CV2025

Read My Ears! Horse Ear Movement Detection for Equine Affective State Assessment

João Alves, Pia Haubro Andersen, Rikke Gade

The Equine Facial Action Coding System (EquiFACS) enables the systematic annotation of facial movements through distinct Action Units (AUs). It serves as a crucial tool for assessi…

cs.CV2022★ 37 cited

SoccerNet 2022 Challenges Results

Silvio Giancola, Anthony Cioppa, Adrien Deliège +91

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…

cs.RO2021★ 23 cited

Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images

Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund +1

This work tackles scene understanding for outdoor robotic navigation, solely relying on images captured by an on-board camera. Conventional visual scene understanding interprets th…

cs.CV2020

Multimodal and multiview distillation for real-time player detection on a football field

Anthony Cioppa, Adrien Deliège, Noor Ul Huda +3

Monitoring the occupancy of public sports facilities is essential to assess their use and to motivate their construction in new places. In the case of a football field, the area to…

cs.CV2019

A Context-Aware Loss Function for Action Spotting in Soccer Videos

Anthony Cioppa, Adrien Deliège, Silvio Giancola +4

In video understanding, action spotting consists in temporally localizing human-induced events annotated with single timestamps. In this paper, we propose a novel loss function tha…