Workshop
11th IEEE International Workshop on Computer Vision in Sports
Rikke Gade · Anthony Cioppa · Thomas B. Moeslund · Graham Thomas · Adrian Hilton · Jim Little · Michele Merler · Silvio Giancola
Thu 12 Jun 11 a.m. PDT — 3:15 p.m. PDT
Though start and end times here are correct, detailed schedules here may not be complete or up to date. Please be sure to cross reference the workshop's website to verify workshop schedule details if they are available on the workshop's website. (Added by CVPR.)
Sports is said to be the social glue of society. It allows people to interact irrespective of their social status, age etc. With the rise of the mass media, a significant quantity of resources has been channeled into sports in order to improve understanding, performance, and presentation. For example, areas like performance assessment, which were previously mainly of interest to coaches and sports scientists are now finding applications in broadcast and other media, driven by the increasing use of on-line sports viewing which provides a way of making all sorts of performance statistics available to viewers. Computer vision has recently started to play an important role in sports as seen in for example football where computer vision-based graphics in real-time enhances different aspects of the game. Computer vision algorithms have a huge potential in many aspects of sports ranging from automatic annotation of broadcast footage, through to better understanding of sport injuries, coaching, and enhanced viewing. So far, the use of computer vision in sports has been scattered between different disciplines. The ambition of this workshop is to bring together practitioners and researchers from different disciplines to share ideas and methods on current and future use of computer vision in sports.
Schedule
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TT3D: Table Tennis 3D Reconstruction
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Thomas Gossard · Andreas Ziegler · Andreas Zell 🔗 |
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Multi-person Physics-based Pose Estimation for Combat Sports ( Paper ) > link | Hossein Feiz · David Labbe · Thomas Romeas · Jocelyn Faubert · Sheldon Andrews · Sheldon Andrews 🔗 |
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Efficient 2D to Full 3D Human Pose Uplifting including Joint Rotations
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Katja Ludwig · Yuliia Oksymets · Robin Schön · Daniel Kienzle · Rainer Lienhart 🔗 |
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VNL-STES: A Benchmark Dataset and Model for Spatiotemporal Event Spotting in Volleyball Analytics
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Paper
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Hoang Nguyen · Ankhzaya Jamsrandorj · Vanyi Chao · Yin May Oo · Muhammad Amrulloh Robbani · Kyung-Ryoul Mun · Jinwook Kim 🔗 |
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Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes
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Katja Ludwig · Julian Lorenz · Daniel Kienzle · Tuan Bui · Rainer Lienhart 🔗 |
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An End-to-End Pipeline for Virtual Banner Replacement in Football Broadcasts
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Victor Gaspar · Anthony Cioppa · Jan Held · Silvio Giancola · Marc Braham · Adrien Deliege · Bernard Ghanem · Marc Van Droogenbroeck 🔗 |
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FieldMOT: A Field-Registered Multi-Object Tracking for Sports Videos
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· Chao-Chi Liao · Yuan-Heng Sun · Cheng-Kuan Lin · Yu-Chee Tseng 🔗 |
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From Beats to Scores: A Multi-Modal Framework for Comprehensive Figure Skating Assessment
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FengShun Wang · Qiurui Wang · Dan Chen 🔗 |
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Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency
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Christian Ingwersen Ingwersen · Rasmus Tirsgaard · Rasmus Nylander · Janus Jensen · Anders Dahl · Morten Hannemose 🔗 |
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Virtual Pose Coach: A Motion-Retargeting Approach for Pose Training
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Tzu-Chun Chiu · Ming-Han Lee · Kun-Ru Wu · Yu-Shuen Wang · Yu-Chee Tseng 🔗 |
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Jump-Aware: Player Position Rectification and Identification in Dynamic Sports Using Jump Event Spotting
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Yin May Oo · Ankhzaya Jamsrandorj · Vanyi Chao · Hoang Nguyen · Yewon Hwang · Kyung-Ryoul Mun · Jinwook Kim 🔗 |
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AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements
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Calvin Yeung · Tomohiro Suzuki · Ryota Tanaka · Zhuoer Yin · Keisuke Fujii 🔗 |
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Towards fine-grained spatial control for soccer game image generation
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Amadou S. SANGARE · Adrien Maglo · Baptiste Engel · Mohamed Chaouch 🔗 |
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Skor-xG: SKeleton-ORiented Expected Goal Estimation in Soccer
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Yizhou Xu · Lars Bretzner · Tiesheng Wang · Atsuto Maki 🔗 |
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SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding
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Marc Gutiérrez · Antonio Agudo 🔗 |
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CaddieSet: A Golf Swing Dataset with Human Joint Features and Ball Information
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Seunghyeon Jung · Seoyoung Hong · Jiwoo Jeong · Seungwon Jeong · Jaerim Choi · Hoki Kim · Woojin Lee 🔗 |
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Sport Field Calibration with NeRF-guided Camera Optimization from a Single Image
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Liang Fan · Xiaoqian Liu · Malcolm Roberts 🔗 |
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GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers
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Lorenza Prospero · Abdullah J Hamdi · João F. Henriques · Christian Rupprecht 🔗 |
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FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment
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Ruisheng Han · Kanglei Zhou · Amir Atapour-Abarghouei · Xiaohui Liang · Hubert P. H. Shum 🔗 |
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From Broadcast to Minimap: Achieving State-of-the-Art SoccerNet Game State Reconstruction
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Vladimir Golovkin · Nikolay Nemtsev · Vasyl Shandyba · Oleg Udin · Nikita Kasatkin · Pavel Kononov · Anton Afanasiev · Sergey Ulasen · Andrei Boiarov 🔗 |
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No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyond
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Tomasz Stanczyk · Seongro Yoon · Francois Bremond 🔗 |
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Human Mesh Reconstruction of Sports Players with Multiple Dynamic Cameras
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Yamato Hokari · Ryosuke Hori · HIDEO SAITO 🔗 |
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Ice Hockey Puck Localization Using Contextual Cues
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Liam Salass · Jerrin Bright · Amir Nazemi · Yuhao Chen · John Zelek · David Clausi 🔗 |
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Can Geometry Save Central Views for Sports Field Registration?
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Floriane Magera · Thomas Hoyoux · Martin Castin · Olivier Barnich · Anthony Cioppa · Marc Van Droogenbroeck 🔗 |
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Action Anticipation from SoccerNet Football Video Broadcasts
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Mohamad Dalal · Artur Xarles i Esparraguera · Anthony Cioppa · Silvio Giancola · Marc Van Droogenbroeck · Bernard Ghanem · Albert Clapés · Sergio Escalera · Thomas B. Moeslund 🔗 |
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Single-Stage Uncertainty-Aware Jersey Number Recognition in Soccer
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Łukasz Grad 🔗 |
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Domain Adaptation of VLM for Soccer Video Understanding
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Tiancheng Jiang · Henry Wang · Md Sirajus Salekin · Shinan Zhang · Parmida Atighehchian 🔗 |
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Where Is The Ball: 3D Ball Trajectory Estimation From 2D Monocular Tracking
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PUNTAWAT PONGLERTNAPAKORN · Supasorn Suwajanakorn 🔗 |
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Action Valuation in Sports: A Survey
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Artur Xarles i Esparraguera · Sergio Escalera · Thomas B. Moeslund · Albert Clapés 🔗 |
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SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports
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Dheeraj Khanna · Jerrin Bright · Yuhao Chen · John Zelek 🔗 |
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Polar Coordinate-Based 2D Pose Prior with Neural Distance Field
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Qi Gan · Sao Mai Nguyen · Eric Fenaux · Stephan Clémençon · Mounîm A. EL YACOUBI 🔗 |
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The Way Up: A Dataset for Hold Usage Detection in Sport Climbing
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Anna Maschek · David Schedl 🔗 |
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Towards Unconstrained 2D Pose Estimation of the Human Spine ( Paper ) > link | Muhammad Saif Ullah Khan · Stephan Krauß · Didier Stricker 🔗 |
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Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer
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Daniel Kienzle · Robin Schön · Rainer Lienhart · Shin’ichi Satoh 🔗 |