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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…