SoccerNet Highlights
Sports Video Understanding
SoccerNet Highlights
Sports Video Understanding
Silvio Giancola
Research Scientist
Silvio Giancola is a Research Scientist at King Abdullah University of Science and Technology (KAUST), working under the supervision of Prof. Bernard Ghanem in the Image and Video Understanding Laboratory (IVUL), part of the Visual Computing Center (VCC).
Posts
Academic visit in Belgium
IVUL Research Presentation and Scientific Committee for the project DEEPSPORT.
Publications
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
Understanding broadcast videos is a challenging task in computer vision, as it requires generic reasoning capabilities to appreciate …
A Context-Aware Loss Function for Action Spotting in Soccer Videos
In video understanding, action spotting consists in temporally localizing human-induced events annotated with single timestamps. In …
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
In this paper, we introduce SoccerNet, a benchmark for action spotting in soccer videos. The dataset is composed of 500 complete soccer …
