activity
20172023
most citedSoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos

243 citations · 730 across the 26 of their papers we have counts for

collaborators

31 papers

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.CV2023

Learning Semantic Segmentation with Query Points Supervision on Aerial Images

Santiago Rivier, Carlos Hinojosa, Silvio Giancola +1

Semantic segmentation is crucial in remote sensing, where high-resolution satellite images are segmented into meaningful regions. Recent advancements in deep learning have signific…

cs.CV2023★ 46 cited

VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views

Jan Held, Anthony Cioppa, Silvio Giancola +3

The Video Assistant Referee (VAR) has revolutionized association football, enabling referees to review incidents on the pitch, make informed decisions, and ensure fairness. However…

cs.CV2023★ 56 cited

SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries

Hassan Mkhallati, Anthony Cioppa, Silvio Giancola +2

Soccer is more than just a game - it is a passion that transcends borders and unites people worldwide. From the roar of the crowds to the excitement of the commentators, every mome…

cs.CV2023★ 23 cited

Towards Active Learning for Action Spotting in Association Football Videos

Silvio Giancola, Anthony Cioppa, Julia Georgieva +5

Association football is a complex and dynamic sport, with numerous actions occurring simultaneously in each game. Analyzing football videos is challenging and requires identifying…

cs.CV2022★ 1 cited

MVTN: Learning Multi-View Transformations for 3D Understanding

Abdullah Hamdi, Faisal AlZahrani, Silvio Giancola +1

Multi-view projection techniques have shown themselves to be highly effective in achieving top-performing results in the recognition of 3D shapes. These methods involve learning ho…