collaborators

10 papers

cs.CV2026

TennisVAR: A Stroke-Evidence-Grounded Multimodal Large Language Model for Tactical Reasoning in Tennis Videos

Yifan Mei, Qingling Shi, Changli Wu +3

Sports-video understanding is moving beyond event recognition toward explaining how actions collectively shape match progression, however, existing tennis-video methods either perc…

cs.AI2026

BasketEvent: Understanding Who Did What and When in Basketball Videos

Yu Zhang, Jiayuan Rao, Haoning Wu +1

Comprehensive basketball video understanding requires resolving not only what event occurs, but also who is responsible and when the key evidence appears. However, exist- ing metho…

cs.AI2026

WorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football Forecasting

Zhaokai Wang, Tianlin Gui, Jiayuan Rao +3

Predicting a football match before kickoff requires more than knowing past results: a model must use changing information and make a clear prediction before the answer is available…

cs.CV2026

SoccerNet 2026 Challenges Results

Anthony Cioppa, Silvio Giancola, Håkan Ardö +102

The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video underst…

cs.CV2026

SoccerMaster: A Vision Foundation Model for Soccer Understanding

Haolin Yang, Jiayuan Rao, Haoning Wu +1

Soccer understanding has recently garnered growing research interest due to its domain-specific complexity and unique challenges. Unlike prior works that typically rely on isolated…

cs.AI2026

SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing

Zi Meng, Wanli Song, Yi Hu +2

Refereeing is vital in sports, where fair, accurate, and explainable decisions are fundamental. While intelligent assistant technologies are being widely adopted in soccer refereei…