3 papers
cs.CV2026
AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models
Rintaro Otsubo, Ryo Fujii, Reina Ishikawa +6
Vision-Language Models (VLMs) have demonstrated immense promise in Spatio-Temporal Video Grounding (STVG). However, current evaluation protocols are largely confined to zero-shot a…
cs.CV2025
Hand Held Multi-Object Tracking Dataset in American Football
Rintaro Otsubo, Kanta Sawafuji, Hideo Saito
Multi-Object Tracking (MOT) plays a critical role in analyzing player behavior from videos, enabling performance evaluation. Current MOT methods are often evaluated using publicly…
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…