activity
20222025
most citedLanguage and Multimodal Models in Sports: A Survey of Datasets and Applications

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports

Haotian Xia, Haonan Ge, Junbo Zou +16

Deeply understanding sports requires an intricate blend of fine-grained visual perception and rule-based reasoning - a challenge that pushes the limits of current multimodal models…

cs.CV2024★ 2 cited

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Haotian Xia, Zhengbang Yang, Junbo Zou +10

Multimodal Large Language Models (MLLMs) are advancing the ability to reason about complex sports scenarios by integrating textual and visual information. To comprehensively evalua…

cs.CL2024★ 3 cited

Language and Multimodal Models in Sports: A Survey of Datasets and Applications

Haotian Xia, Zhengbang Yang, Yun Zhao +7

Recent integration of Natural Language Processing (NLP) and multimodal models has advanced the field of sports analytics. This survey presents a comprehensive review of the dataset…

cs.CL2024★ 1 cited

SportQA: A Benchmark for Sports Understanding in Large Language Models

Haotian Xia, Zhengbang Yang, Yuqing Wang +7

A deep understanding of sports, a field rich in strategic and dynamic content, is crucial for advancing Natural Language Processing (NLP). This holds particular significance in the…

cs.CV2023

Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera

Haotian Xia, Rhys Tracy, Yun Zhao +3

This paper presents PathFinder and PathFinderPlus, two novel end-to-end computer vision frameworks designed specifically for advanced setting strategy classification in volleyball…

cs.LG2023

Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions

Rhys Tracy, Haotian Xia, Alex Rasla +2

This research aims to improve the accuracy of complex volleyball predictions and provide more meaningful insights to coaches and players. We introduce a specialized graph encoding…

cs.LG2022

VREN: Volleyball Rally Dataset with Expression Notation Language

Haotian Xia, Rhys Tracy, Yun Zhao +3

This research is intended to accomplish two goals: The first goal is to curate a large and information rich dataset that contains crucial and succinct summaries on the players' act…