Calvin Yeung

According to our database, Calvin Yeung authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

KASportsFormer: Kinematic Anatomy Enhanced Transformer for 3D Human Pose Estimation on Short Sports Scene Video.

Zhuoer Yin, Calvin Yeung, Tomohiro Suzuki, Ryota Tanaka, Keisuke Fujii

CoRR, July, 2025

AthleticsPose: Authentic Sports Motion Dataset on Athletic Field and Evaluation of Monocular 3D Pose Estimation Ability.

Tomohiro Suzuki, Ryota Tanaka, Calvin Yeung, Keisuke Fujii

CoRR, July, 2025

Transformer-based neural marked spatio temporal point process model for analyzing football match events.

Calvin Yeung, Tony Sit, Keisuke Fujii

Appl. Intell., April, 2025

TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos.

Kazuhiro Yamada, Li Yin, Qingrui Hu, Ning Ding, Shunsuke Iwashita, Jun Ichikawa, Kiwamu Kotani, Calvin Yeung, Keisuke Fujii

CoRR, March, 2025

OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer.

Calvin Yeung, Kenjiro Ide, Taiga Someya, Keisuke Fujii

CoRR, February, 2025

A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education.

Calvin Yeung, Jeff Yu, King Chau Cheung, Tat Wing Wong, Chun Man Chan, Kin Chi Wong, Keisuke Fujii

CoRR, January, 2025

SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection.

Haobin Qin, Calvin Yeung, Rikuhei Umemoto, Keisuke Fujii

CoRR, January, 2025

AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements.

Calvin Yeung, Tomohiro Suzuki, Ryota Tanaka, Zhuoer Yin, Keisuke Fujii

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Basketball-SORT: an association method for complex multi-object occlusion problems in basketball multi-object tracking.

Qingrui Hu, Atom Scott, Calvin Yeung, Keisuke Fujii

Multim. Tools Appl., November, 2024

Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees.

Calvin Yeung, Rory P. Bunker, Rikuhei Umemoto, Keisuke Fujii

Mach. Learn., October, 2024

Unveiling Multi-Agent Strategies: A Data-Driven Approach for Extracting and Evaluating Team Tactics from Football Event and Freeze-Frame Data.

Calvin Yeung, Rory P. Bunker, Keisuke Fujii

J. Robotics Mechatronics, 2024

Enhanced Multi-Object Tracking Using Pose-based Virtual Markers in 3x3 Basketball.

Li Yin, Calvin Yeung, Qingrui Hu, Jun Ichikawa, Hirotsugu Azechi, Susumu Takahashi, Keisuke Fujii

CoRR, 2024

Machine Learning for Soccer Match Result Prediction.

Rory P. Bunker, Calvin Yeung, Keisuke Fujii

CoRR, 2024

Foul prediction with estimated poses from soccer broadcast video.

Jiale Fang, Calvin Yeung, Keisuke Fujii

CoRR, 2024

AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements.

Calvin Yeung, Kenjiro Ide, Keisuke Fujii

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory.

Calvin C. K. Yeung, Keisuke Fujii

CoRR, 2023

Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis.

Calvin C. K. Yeung, Tony Sit, Keisuke Fujii

CoRR, 2023