{"total":18,"rows":[{"id":"2401.01505","title":"Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports","created":"2024-01-03","cited_by_count":41,"area":null},{"id":"2206.01038","title":"A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications","created":"2022-06-02","cited_by_count":28,"area":null},{"id":"2306.04948","title":"ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis","created":"2023-06-08","cited_by_count":15,"area":null},{"id":"2307.03353","title":"A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision","created":"2023-07-07","cited_by_count":11,"area":null},{"id":"2211.12217","title":"Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton","created":"2022-11-22","cited_by_count":10,"area":null},{"id":"2306.15664","title":"Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset","created":"2023-06-27","cited_by_count":8,"area":null},{"id":"2504.08222","title":"F$^3$Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos","created":"2025-04-11","cited_by_count":7,"area":null},{"id":"2211.12234","title":"A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)","created":"2022-11-22","cited_by_count":2,"area":null},{"id":"2312.10942","title":"ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton","created":"2023-12-18","cited_by_count":2,"area":null},{"id":"2403.12385","title":"Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset","created":"2024-03-19","cited_by_count":2,"area":null},{"id":"2409.10176","title":"TCDformer-based Momentum Transfer Model for Long-term Sports Prediction","created":"2024-09-16","cited_by_count":2,"area":null},{"id":"2307.16000","title":"Automated Hit-frame Detection for Badminton Match Analysis","created":"2023-07-29","cited_by_count":1,"area":null},{"id":"2306.14492","title":"A Badminton Recognition and Tracking System Based on Context Multi-feature Fusion","created":"2023-06-26","cited_by_count":0,"area":null},{"id":"2307.08262","title":"MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss","created":"2023-07-17","cited_by_count":0,"area":null},{"id":"2307.13715","title":"Team Intro to AI team8 at CoachAI Badminton Challenge 2023: Advanced ShuttleNet for Shot Predictions","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2605.02558","title":"TemPose-TF-ASF: Two-Stage Bidirectional Stroke Context Fusion for Badminton Stroke Classification","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.23355","title":"Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2608.25246","title":"ShuttleArena: Interpretable Self-Play in Physics-Based Badminton","created":"2026-08-26","cited_by_count":0,"area":null}],"next_cursor":null}