7 papers
SambaGraph: Action-Reaction Spatio-Temporal Graphs for Soccer Tactical Response Modeling
Abel A. Reyes-Angulo, Henry O. Velesaca, Steven Araujo
Soccer tactics are interactive: an attacking action changes the opponent's defensive problem, and the observed response depends on the multi-agent match state. We introduce SambaGr…
Can Vision-Language Models Judge Olympic Diving? From Reasoning to Scores in Zero-Shot Action Quality Assessment
Henry O. Velesaca, David Freire-Obregon, Luigi Miranda +1
Automated action quality assessment (AQA) in Olympic sports remains a challenging task due to the complexity of human motion and the subjectivity inherent in expert judging. This w…
Tracking Urban Atmospheric Pollutants using Sentinel-5P Satellite Data
Alice Gomez-Cantos, Henry O. Velesaca
Urban nitrogen dioxide () is a key indicator of combustion-related air pollution and exhibits strong spatial and temporal variability in cities. This study presents a satelli…
MambaKick: Early Penalty Direction Prediction from HAR Embeddings
Henry O. Velesaca, David Freire-Obregon, Abel Reyes-Angulo +2
Penalty kicks in soccer are decided under extreme time constraints, where goalkeepers benefit from anticipating shot direction from the kickers motion before or around ball contact…
Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection
Henry O. Velesaca, Andrea Mero, Guillermo A. Castillo +1
Pedestrian detection is fundamental to autonomous driving, robotics, and surveillance. Despite progress in deep learning, reliable identification remains challenging due to occlusi…
SWNet: A Cross-Spectral Network for Camouflaged Weed Detection
Henry O. Velesaca, Luigi Miranda, Angel D. Sappa
This paper presents SWNet, a bimodal end-to-end cross-spectral network specifically engineered for the detection of camouflaged weeds in dense agricultural environments. Plant camo…
SoccerNet 2025 Challenges Results
Silvio Giancola, Anthony Cioppa, Marc Gutiérrez-Pérez +115
The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understandi…