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20232026
most citedTransformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis

5 citations · 16 across the 15 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025★ 1 cited

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

Zhuoer Yin, Calvin Yeung, Tomohiro Suzuki +2

Recent transformer based approaches have demonstrated impressive performance in solving real-world 3D human pose estimation problems. Albeit these approaches achieve fruitful resul…

cs.CV2025

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

Tomohiro Suzuki, Ryota Tanaka, Calvin Yeung +1

Monocular 3D pose estimation is a promising, flexible alternative to costly motion capture systems for sports analysis. However, its practical application is hindered by two factor…

cs.CV2025★ 1 cited

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 +6

Multi-object tracking, player identification, and pose estimation are fundamental components of sports analytics, essential for analyzing player movements, performance, and tactica…

cs.CV2025★ 2 cited

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

Calvin Yeung, Tomohiro Suzuki, Ryota Tanaka +2

Human pose estimation is a critical task in computer vision and sports biomechanics, with applications spanning sports science, rehabilitation, and biomechanical research. While si…

cs.CV2025

SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection

Haobin Qin, Calvin Yeung, Rikuhei Umemoto +1

In soccer video analysis, player detection is essential for identifying key events and reconstructing tactical positions. The presence of numerous players and frequent occlusions,…

cs.CV2024

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

Li Yin, Calvin Yeung, Qingrui Hu +4

Multi-object tracking (MOT) is crucial for various multi-agent analyses such as evaluating team sports tactics and player movements and performance. While pedestrian tracking has a…

cs.CV2024★ 1 cited

Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Tracking

Qingrui Hu, Atom Scott, Calvin Yeung +1

Recent deep learning-based object detection approaches have led to significant progress in multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on pedestria…

cs.CV2024

AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements

Calvin Yeung, Kenjiro Ide, Keisuke Fujii

Image understanding is a foundational task in computer vision, with recent applications emerging in soccer posture analysis. However, existing publicly available datasets lack comp…

cs.CV2024★ 1 cited

Foul prediction with estimated poses from soccer broadcast video

Jiale Fang, Calvin Yeung, Keisuke Fujii

Recent advances in computer vision have made significant progress in tracking and pose estimation of sports players. However, there have been fewer studies on behavior prediction w…