{"id":2377,"date":"2025-01-13T11:56:38","date_gmt":"2025-01-13T11:56:38","guid":{"rendered":"https:\/\/vap.aau.dk\/cvsports\/?page_id=2377"},"modified":"2026-01-25T20:32:04","modified_gmt":"2026-01-25T20:32:04","slug":"11th-international-workshop-on-computer-vision-in-sports-cvsports-at-cvpr-2025","status":"publish","type":"page","link":"https:\/\/vap.aau.dk\/cvsports\/11th-international-workshop-on-computer-vision-in-sports-cvsports-at-cvpr-2025\/","title":{"rendered":"11th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2025"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><a href=\"https:\/\/vap.aau.dk\/cvsports\/11th-international-workshop-on-computer-vision-in-sports-cvsports-at-cvpr-2025\/call-for-papers\/\">Call for papers<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><a href=\"https:\/\/vap.aau.dk\/cvsports\/11th-international-workshop-on-computer-vision-in-sports-cvsports-at-cvpr-2025\/program\/\">Program<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><a href=\"https:\/\/vap.aau.dk\/cvsports\/11th-international-workshop-on-computer-vision-in-sports-cvsports-at-cvpr-2025\/speakers\/\">Speakers<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-align-center\"><a href=\"https:\/\/vap.aau.dk\/cvsports\/11th-international-workshop-on-computer-vision-in-sports-cvsports-at-cvpr-2025\/organizers\/\">Organizers<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/01\/cvpr2025_cvsports_banner-1024x683.jpg\" alt=\"\" class=\"wp-image-2380\" srcset=\"https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/01\/cvpr2025_cvsports_banner-1024x683.jpg 1024w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/01\/cvpr2025_cvsports_banner-300x200.jpg 300w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/01\/cvpr2025_cvsports_banner-768x512.jpg 768w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/01\/cvpr2025_cvsports_banner-980x653.jpg 980w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/01\/cvpr2025_cvsports_banner-480x320.jpg 480w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/01\/cvpr2025_cvsports_banner.jpg 1080w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Best paper award<\/h2>\n\n\n\n<p>Congratulations to the winners of the best paper award:<\/p>\n\n\n\n<p><strong>Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer<\/strong> &#8211; Daniel Kienzle, Robin Sch\u00f6n, Rainer Lienhart and Shin&#8217;ichi Satoh<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" data-id=\"2426\" src=\"https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-1024x768.jpg\" alt=\"\" class=\"wp-image-2426\" srcset=\"https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-1024x768.jpg 1024w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-300x225.jpg 300w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-768x576.jpg 768w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-1536x1152.jpg 1536w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-2048x1536.jpg 2048w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-510x382.jpg 510w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-1080x810.jpg 1080w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-1280x960.jpg 1280w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-980x735.jpg 980w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/BP_Winner-480x360.jpg 480w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"569\" data-id=\"2425\" src=\"https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-1024x569.jpg\" alt=\"\" class=\"wp-image-2425\" srcset=\"https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-1024x569.jpg 1024w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-300x167.jpg 300w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-768x427.jpg 768w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-1536x853.jpg 1536w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-2048x1137.jpg 2048w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-1080x600.jpg 1080w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-1280x711.jpg 1280w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-980x544.jpg 980w, https:\/\/vap.aau.dk\/cvsports\/wp-content\/uploads\/sites\/5\/2025\/06\/Group-photo-480x267.jpg 480w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Program<\/h2>\n\n\n\n<p><strong>Date and time:<\/strong> June 12, 2025, 1pm-5.15pm (local time in Nashville)<\/p>\n\n\n\n<p>Location: Music City Center, Nashville, Tennessee, room 108<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>1.00-1.10pm<\/td><td>Welcome to CVsports<\/td><td>Thomas Moeslund, Anthony Cioppa, Silvio Giancola<\/td><\/tr><tr><td>1.10-1.40pm<\/td><td>Invited talk<\/td><td>Roland Memisevic, Qualcomm<\/td><\/tr><tr><td>1.40-2.40pm<\/td><td>Oral presentations<\/td><td>5 papers of 12 minutes each (8 min. pres. + 4 min. questions), see papers in table below<\/td><\/tr><tr><td>2.40-4.15pm<\/td><td>Poster session + coffee break<\/td><td>All papers, see list of papers and poster board numbers in table below. Poster boards are in ExHall D. <\/td><\/tr><tr><td>4.15-4.45pm<\/td><td>Invited talk<\/td><td>Katie Mills, FIFA &amp; Sheffield Hallam University<\/td><\/tr><tr><td>4.45-5.00pm<\/td><td>SoccerNet challenge results<\/td><td>Anthony Cioppa, Silvio Giancola<\/td><\/tr><tr><td>5.00-5.15pm<\/td><td>Best paper award and closing words<\/td><td>Thomas Moeslund, Anthony Cioppa, Silvio Giancola<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Keynote speakers: <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Roland Memisevic, Senior Director at Qualcomm<\/strong>\n<ul class=\"wp-block-list\">\n<li>Talk: Live fitness coaching as a testbed for real-world conversational AI&nbsp;<\/li>\n\n\n\n<li>Abstract: Despite the immense recent progress in multi-modal language models, building AI systems that can have a real-world conversation about what is happening in front of the camera remains an extremely ambitious open problem. One reason is that existing models are trained to respond to prompts, instead of having a free-flowing live conversation. Another is that a natural real-world interaction can branch into many unforeseen directions at any point in time, making it hard to collect training data with sufficient coverage for models to generalize.&nbsp;In this talk I will argue that live fitness coaching is not only a highly useful task to solve. It also provides a perfect testbed for building AI models that see, hear and interact with a user in real time: on the one hand it requires a model to see and hear events as they happen, so it can respond appropriately. On the other hand, it is a highly constrained experience, much like a real-world &#8220;game&#8221;, consisting of a sequence of timed exercises and a strict definition of what counts as a correct or less correct action.&nbsp; As such, fitness coaching comes with clear expectations and guardrails, within which otherwise free-form interactions can be defined and collected as training data. I will discuss in detail our work in recent years towards building real-world streaming models that can coach you in real time. This includes the collection of large-scale training data and the exploration of efficient multi-modal streaming architectures. I will also discuss open problems, such as challenges in state tracking and multi-modal fusion.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Katie Mills, Football Research Consultant at FIFA &amp; Research Fellow at Sheffield Hallam University<\/strong>\n<ul class=\"wp-block-list\">\n<li>Talk: Advancing Football Through Research on a Global Stage<\/li>\n\n\n\n<li>Abstract: &nbsp;At FIFA, research and innovation are at the heart of the game\u2019s evolution. The FIFA Research Programme fosters collaboration between academia, industry and football stakeholders to develop and validate innovations that enhance the game&#8217;s integrity, performance, and accessibility. Our work provides the empirical foundation to tackle some of football\u2019s biggest technological challenges &#8211; from improving match officiating with semi-automated offside technologies, to enabling deeper tactical and performance analysis through advanced tracking systems. We\u2019re also exploring alternative, lower-cost solutions to make these tools available across all levels of the game. By sharing what we learn and working openly with the global research community, we\u2019re helping make football more accessible, data-driven, and ready for the future.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p><strong>Accepted papers:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer<\/strong><\/td><td>Daniel Kienzle (University of Augsburg)<br>Robin Sch\u00f6n (University of Augsburg)<br>Rainer Lienhart (University of Augsburg)<br>Shin&#8217;ichi Satoh (National Institute of Informatics)<\/td><td>Oral + poster #280<\/td><\/tr><tr><td><strong>Action Anticipation from SoccerNet Football Video Broadcasts<\/strong><\/td><td>Mohamad Dalal (Aalborg Universitet)<br>Artur Xarles (Universitat de Barcelona)<br>Anthony Cioppa (University of Li\u00e8ge)<br>Silvio Giancola (King Abdullah University of Science and Technology (KAUST))<br>Marc Van Droogenbroeck (University of Li\u00e8ge)<br>Bernard Ghanem (King Abdullah University of Science and Technology (KAUST))<br>Albert Clap\u00e9s (Universitat de Barcelona)<br>Sergio Escalera (Universitat de Barcelona)<br>Thomas B. Moeslund (Aalborg Universitet)<\/td><td>Oral + poster #281<\/td><\/tr><tr><td><strong>Human Mesh Reconstruction of Sports Players with Multiple Dynamic Cameras<\/strong><\/td><td>Yamato Hokari (Keio University)<br>Ryosuke Hori (Keio University)<br>Hideo Saito (Keio University)<\/td><td>Oral + poster #283<\/td><\/tr><tr><td><strong>SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports<\/strong><\/td><td>Dheeraj Khanna (University of Waterloo)<br>Jerrin Bright (University of Waterloo)<br>Yuhao Chen (University of Waterloo)<br>John Zelek (University of Waterloo)<\/td><td>Oral + poster #284<\/td><\/tr><tr><td><strong>TT3D: Table Tennis 3D Reconstruction<\/strong><\/td><td>Thomas Gossard (Cognitive systems &#8211; University Tuebingen)<br>Andreas Ziegler (Cognitive systems &#8211; University Tuebingen)<br>Andreas Zell (Cognitive systems &#8211; University Tuebingen)<\/td><td>Poster #285<\/td><\/tr><tr><td><strong>Efficient 2D to Full 3D Human Pose Uplifting including Joint Rotations<\/strong><\/td><td>Katja Ludwig (University of Augsburg)<br>Yuliia Oksymets (University of Augsburg)<br>Robin Sch\u00f6n (University of Augsburg)<br>Daniel Kienzle (University of Augsburg)<br>Rainer Lienhart (University of Augsburg)<\/td><td>Poster #286<\/td><\/tr><tr><td><strong>Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes<\/strong><\/td><td>Katja Ludwig (University of Augsburg)<br>Julian Lorenz (University of Augsburg)<br>Daniel Kienzle (University of Augsburg)<br>Tuan Bui (University of Augsburg)<br>Rainer Lienhart (University of Augsburg)<\/td><td>Poster #287<\/td><\/tr><tr><td><strong>VNL-STES: A Benchmark Dataset and Model for Spatiotemporal Event Spotting in Volleyball Analytics<\/strong><\/td><td>Hoang Nguyen (University of Science and Technology)<br>Ankhzaya Jamsrandorj (Korea Institute of Science and Technology)<br>Vanyi Chao (University of Science and Technology)<br>Yin May Oo (University of Science and Technology)<br>Muhammad Amrulloh Robbani (University of Science and Technology)<br>Kyung-Ryoul Mun (Korea Institute of Science and Technology)<br>Jinwook Kim (Korea Institute of Science and Technology)<br><\/td><td>Poster #288<\/td><\/tr><tr><td><strong>An End-to-End Pipeline for Virtual Banner Replacement in Football Broadcasts<\/strong><\/td><td>Victor Gaspar ( University of Liege)<br>Anthony Cioppa (University of Li\u00e8ge)<br>Jan Held (University of Li\u00e8ge)<br>Silvio Giancola (King Abdullah University of Science and technology (KAUST))<br>Marc Braham (University of Li\u00e8ge)<br>Adrien Deli\u00e8ge (University of Li\u00e8ge)<br>Bernard Ghanem (KAUST)<br>Marc Van Droogenbroeck (University of Li\u00e8ge)<\/td><td>Poster #289<\/td><\/tr><tr><td><strong>FieldMOT: A Field-Registered Multi-Object Tracking for Sports Videos<\/strong><\/td><td>Hong-Qi Chen (National Yang Ming Chiao Tung University)<br>Chao-Chi Liao (National Yang Ming Chiao Tung University)*<br>Yuan-Heng Sun (National Yang Ming Chiao Tung University)<br>Cheng-Kuan Lin (National Yang Ming Chiao Tung University)<br>Yu-Chee Tseng (National Yang Ming Chiao Tung University)<\/td><td>Poster #290<\/td><\/tr><tr><td><strong>From Beats to Scores: A Multi-Modal Framework for Comprehensive Figure Skating Assessment<\/strong><\/td><td>Fengshun Wang (Institution of Artificial Intelligence in Sport in the Capital University of Physical Education and Sport)<br>Qiurui Wang (Institution of Artificial Intelligence in Sport in the Capital University of Physical Education and Sport)<br>Dan Chen (School of Winter Sport in the Capital University of Physical Education and Sport)<\/td><td>Poster #291<\/td><\/tr><tr><td><strong>Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency<\/strong><\/td><td>Christian Ingwersen (TrackMan)<br>Rasmus Tirsgaard (Technical University of Denmark)<br>Rasmus Nylander (Trackman )<br>Janus Jensen (3Shape)<br>Anders Dahl (Technical University of Denmark)<br>Morten Hannemose (Technical University of Denmark)<\/td><td>Poster #292<\/td><\/tr><tr><td><strong>Virtual Pose Coach: A Motion-Retargeting Approach for Pose Training<\/strong><\/td><td>Tzu-Chun Chiu (National Yang Ming Chiao Tung University)<br>Ming-Han Lee (National Yang Ming Chiao Tung University)<br>Kun-Ru Wu (National Yang Ming Chiao Tung University)<br>Yu-Shuen Wang (National Yang Ming Chiao Tung University)<br>Yu-Chee Tseng (National Yang Ming Chiao Tung University)<\/td><td>Poster #293<\/td><\/tr><tr><td><strong>Jump-Aware: Player Position Rectification and Identification in Dynamic Sports Using Jump Event Spotting<\/strong><\/td><td>Yin May Oo (Korea Institute of Science and Technology)<br>Ankhzaya Jamsrandorj (Korea Institute of Science and Technology)<br>Vanyi Chao (Korea Institute of Science and Technology)<br>Hoang Quoc Nguyen ( Korea Institute of Science and Technology)<br>Yewon Hwang (Korea Institute of Science and Technology)<br>Kyung-Ryoul Mun (Korea Institute of Science and Technology)<br>Jinwook Kim (Korea Institute of Science and Technology)<\/td><td>Poster #294<\/td><\/tr><tr><td><a href=\"https:\/\/cmt3.research.microsoft.com\/CVsports2025\/Submission\/Summary\/26\"><\/a><br><strong>AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements<\/strong><\/td><td>Calvin Yeung (Nagoya University)<br>Tomohiro Suzuki (Nagoya University)<br>Ryota Tanaka (Nagoya University)<br>Zhuoer Yin (Nagoya University)<br>Keisuke Fujii (Nagoya University)<\/td><td>Poster #295<\/td><\/tr><tr><td><strong>Towards fine-grained spatial control for soccer game image generation<\/strong><\/td><td>Amadou SANGARE (T\u00e9l\u00e9com Paris, Institut Polytechnique de Paris)<br>Adrien MAGLO (CEA-List)<br>Baptiste ENGEL (CEA-List)<br>Mohamed CHAOUCH (CEA-List)<\/td><td>Poster #296<\/td><\/tr><tr><td><strong>Skor-xG: SKeleton-ORiented Expected Goal Estimation in Soccer<\/strong><\/td><td>Yizhou Xu (KTH Royal Institute of Technology)<br>Lars Bretzner (Tracab)<br>Tiesheng Wang (Tracab)<br>Atsuto Maki (KTH Royal Institute of Technology)<br><\/td><td>Poster #297<\/td><\/tr><tr><td><strong>SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding<\/strong><\/td><td>Marc Guti\u00e9rrez (Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC)<br>Antonio Agudo (Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC)<\/td><td>Poster #298<\/td><\/tr><tr><td><strong>CaddieSet: A Golf Swing Dataset with Human Joint Features and Ball Information<\/strong><\/td><td>Seunghyeon Jung (Dongguk University)<br>Seoyoung Hong (Kimcaddie Inc)<br>Jiwoo Jeong (Dongguk University)<br>Seungwon Jeong (Dongguk University)<br>Jaerim Choi (Kimcaddie Inc)<br>Hoki Kim (Chung-Ang University)<br>Woojin Lee (Dongguk University)<\/td><td>Poster #299<\/td><\/tr><tr><td><strong>Sport Field Calibration with NeRF-guided Camera Optimization from a Single Image<\/strong><\/td><td>Liang Fan (Loughborough University)<br>Xiaoqian Liu (Beijing Jiaotong University)<br>Malcolm Roberts (Irish Football Association)<\/td><td>Poster #300<\/td><\/tr><tr><td><strong>GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers<\/strong><\/td><td>Lorenza Prospero (University of Oxford)<br>Abdullah Hamdi (University of Oxford)<br>Joao Henriques (University of Oxford)<br>Christian Rupprecht (University of Oxford)<\/td><td>Poster #301<\/td><\/tr><tr><td><strong>FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment<\/strong><\/td><td>Ruisheng Han (Department of Computer Science, Durham University)<br>Kanglei Zhou (Beihang University )<br>Amir Atapour-Abarghouei (Department of Computer Science, Durham University)<br>Xiaohui Liang (Beihang University)<br>Hubert Shum (Department of Computer Science, Durham University)<\/td><td>Poster #302<\/td><\/tr><tr><td><strong>From Broadcast to Minimap: Achieving State-of-the-Art SoccerNet Game State Reconstruction<\/strong><\/td><td>Vladimir Golovkin (Constructor Tech)<br>Nikolay Nemtsev (Constructor Tech)<br>Vasyl Shandyba (Constructor Tech)<br>Oleg Udin (Constructor Tech)<br>Nikita Kasatkin (Constructor Tech)<br>Pavel Kononov (Constructor Tech)<br>Anton Afanasiev (Constructor Tech)<br>Sergey Ulasen (Constructor Tech)<br>Andrei Boiarov (Constructor Tech)<\/td><td>Poster #303<\/td><\/tr><tr><td><strong>No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyond<\/strong><\/td><td>Tomasz Stanczyk (Inria)<br>Seongro Yoon (Inria)<br>Francois Bremond (Inria)<\/td><td>Poster #304<\/td><\/tr><tr><td><strong>Ice Hockey Puck Localization Using Contextual Cues<\/strong><\/td><td>Liam Salass  (University of Waterloo)<br>Jerrin Bright (University of Waterloo)<br>Amir Nazemi (University of Waterloo)<br>Yuhao Chen (University of Waterloo)<br>John Zelek (University of Waterloo)<br>David Clausi (University of Waterloo)<\/td><td>Poster #305<\/td><\/tr><tr><td><strong>Can Geometry Save Central Views for Sports Field Registration?<\/strong><\/td><td>Floriane Magera (EVS Broadcast Equipment)<br>Thomas Hoyoux (EVS Broadcast Equipment)<br>Martin Castin (EVS Broadcast Equipment)<br>Olivier Barnich (EVS Broadcast Equipment)<br>Anthony Cioppa (University of Liege)<br>Marc Van Droogenbroeck (University of Liege)<\/td><td>Poster #306<\/td><\/tr><tr><td><strong>Pose-to-Pose: A New Task and Benchmark for Human Pose Transition in Yoga<\/strong><\/td><td>Bhat Dittakavi (Indian Institute of Technology, Hyderabad)<br>Swarnim Maheshwari (IIT Hyderabad)<br>Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad)<\/td><td>Poster #307<\/td><\/tr><tr><td><strong>Single-Stage Uncertainty-Aware Jersey Number Recognition in Soccer<\/strong><\/td><td>\u0141ukasz Grad (University of Warsaw)<\/td><td>Poster #308<\/td><\/tr><tr><td><strong>Domain Adaptation of VLM for Soccer Video Understanding<\/strong><\/td><td>Tiancheng Jiang (Massachusetts Institute of Technology)<br>Henry Wang (Amazon Web Services)<br>Sirajus Salekin (Amazon Web Services)<br>Shinan Zhang (Amazon Web Services)<br>Parmida Atighehchian (Amazon Web Services)<\/td><td>Poster #309<\/td><\/tr><tr><td><strong>Where Is The Ball: 3D Ball Trajectory Estimation From 2D Monocular Tracking<\/strong><\/td><td>Puntawat Ponglertnapakorn (Vidyasirimedhi Institute of Science and Technology)<br>Supasorn Suwajanakorn (VISTEC: Vidyasirimedhi Institute of Science and Technology)<\/td><td>Poster #310<\/td><\/tr><tr><td><strong>Action Valuation in Sports: A Survey<\/strong><\/td><td>Artur Xarles (Universitat de Barcelona)<br>Sergio Escalera (Universitat de Barcelona)<br>Thomas B. Moeslund (Aalborg University)<br>Albert Clap\u00e9s (Universitat de Barcelona)<\/td><td>Poster #311<\/td><\/tr><tr><td><strong>Polar Coordinate-Based 2D Pose Prior with Neural Distance Field<\/strong><\/td><td>Qi Gan (T\u00e9l\u00e9com Paris)<br>Sao Mai Nguyen (ENSTA Paris)<br>Eric Fenaux (Ef-e-science)<br>Stephan Cl\u00e9men\u00e7on (T\u00e9l\u00e9com Paris)<br>Mounim EL YACOUBI (T\u00e9l\u00e9com SudParis)<\/td><td>Poster #312<\/td><\/tr><tr><td><strong>The Way Up: A Dataset for Hold Usage Detection in Sport Climbing<\/strong><\/td><td>Anna Maschek (University of Applied Sciences Upper Austria)<br>David Schedl (University of Applied Sciences Upper Austria)<\/td><td>Poster #313<\/td><\/tr><tr><td><strong>Towards Unconstrained 2D Pose Estimation of the Human Spine<\/strong><\/td><td>Muhammad Saif Ullah Khan (Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI))<br>Stephan Krau\u00df (Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI))<br>Didier Stricker (DeutschesForschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI))<\/td><td>Poster #314<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Call for Papers<\/h2>\n\n\n\n<p>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.<br>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. To this end we welcome computer vision-based research contributions as well as best-practice contributions focusing on the following (and similar) topics:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>estimation of position and motion of cameras and participants in sports<\/li>\n\n\n\n<li>tracking people and objects in sports<\/li>\n\n\n\n<li>activity recognition in sports<\/li>\n\n\n\n<li>event detection in sports<\/li>\n\n\n\n<li>spectator monitoring<\/li>\n\n\n\n<li>annotation and indexing in sports<\/li>\n\n\n\n<li>graphical effects in sports<\/li>\n\n\n\n<li>analysis of injuries in sports<\/li>\n\n\n\n<li>performance assessment in sports<\/li>\n\n\n\n<li>alternative sensing in sports (beyond the visible spectrum)<\/li>\n\n\n\n<li>tactics analysis in sports<\/li>\n\n\n\n<li>automatic narration and captioning in sports<\/li>\n\n\n\n<li>training assistance in sports<\/li>\n\n\n\n<li>augmented\/virtual reality in sports<\/li>\n\n\n\n<li>datasets in sports<\/li>\n\n\n\n<li>bias in sports<\/li>\n\n\n\n<li>XAI in sports<\/li>\n\n\n\n<li>ethics &amp; algorithms in sports<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Important dates<\/h2>\n\n\n\n<p><strong>Submission deadline:<\/strong> <s>March 5<\/s> <strong>Extended: March 11, 2025<\/strong> (Anywhere on Earth)<\/p>\n\n\n\n<p>Notification: March <s>25<\/s> 27, 2025<\/p>\n\n\n\n<p>Camera ready deadline: April <s>5<\/s> 14, 2025 (hard deadline)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Submission<\/h2>\n\n\n\n<p>Paper submission: <a href=\"https:\/\/cmt3.research.microsoft.com\/CVsports2025\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/cmt3.research.microsoft.com\/CVsports2025\/<\/a><\/p>\n\n\n\n<p>Author guidelines: Please follow the guidelines from CVPR main conference: <a href=\"https:\/\/cvpr.thecvf.com\/Conferences\/2025\/AuthorGuidelines\" data-type=\"link\" data-id=\"https:\/\/cvpr.thecvf.com\/Conferences\/2025\/AuthorGuidelines\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/cvpr.thecvf.com\/Conferences\/2025\/AuthorGuidelines<\/a><\/p>\n\n\n\n<p><strong>Please note the following: Papers that are not properly anonymized, or do not use the template, or have more than eight pages (excluding references) will be rejected without review<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Competition &#8211; SoccerNet<\/h2>\n\n\n\n<p>Participate in our 2025 SoccerNet challenges and explore research in sports video analysis!<\/p>\n\n\n\n<p>This year\u2019s tasks include: Ball action spotting, Game state reconstruction, Multi-view foul recognition, Monocular depth estimation.<\/p>\n\n\n\n<p>Read more about the challenges: <a href=\"https:\/\/www.soccer-net.org\/challenges\/2025\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.soccer-net.org\/challenges\/2025<\/a><\/p>\n\n\n\n<p>Sponsors:<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Organizers<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"mailto:rg@create.aau.dk\">Rikke Gade<\/a>, Aalborg University, Denmark<\/li>\n\n\n\n<li><a href=\"mailto:tbm@create.aau.dk\">Thomas Moeslund<\/a>, Aalborg University, Denmark<\/li>\n\n\n\n<li><a href=\"mailto:graham.thomas@bbc.co.uk\">Graham Thomas<\/a>, BBC, UK<\/li>\n\n\n\n<li><a href=\"mailto:a.hilton@surrey.ac.uk\">Adrian Hilton<\/a>, University of Surrey, UK<\/li>\n\n\n\n<li><a href=\"mailto:little@cs.ubc.ca\">Jim Little<\/a>, University of British Columbia, Canada<\/li>\n\n\n\n<li><a href=\"mailto:mimerler@us.ibm.com\">Michele Merler<\/a>, IBM Research, USA<\/li>\n\n\n\n<li><a href=\"mailto:silvio.giancola@kaust.edu.sa\">Silvio Giancola<\/a>, King Abdullah University of Science and Technology (KAUST), Saudi Arabia<\/li>\n\n\n\n<li><a href=\"mailto:Anthony.Cioppa@uliege.be\">Anthony Cioppa<\/a>, University of Li\u00e8ge, Belgium<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Previous editions of CVsports<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/1st-ieee-internation-workshop-on-computer-vision-in-sports-at-cvpr-2013\/\" target=\"_blank\" rel=\"noreferrer noopener\">1st IEEE International Workshop on Computer Vision in Sports (at CVPR 2013)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/2nd\/\" target=\"_blank\" rel=\"noreferrer noopener\">2nd IEEE International Workshop on Computer Vision in Sports (at ICCV 2015)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/3rd-ieee-international-workshop-in-computer-vision-in-sports-at-cvpr-2017\/\" target=\"_blank\" rel=\"noreferrer noopener\">3rd IEEE International Workshop on Computer Vision in Sports (at CVPR 2017)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/4th-ieee-international-workshop-on-computer-vision-in-sports-at-cvpr-2018\/\" target=\"_blank\" rel=\"noreferrer noopener\">4th IEEE International Workshop on Computer Vision in Sports (at CVPR 2018)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/5th-ieee-international-workshop-on-computer-vision-in-sports-at-cvpr-2019\/\" target=\"_blank\" rel=\"noreferrer noopener\">5th IEEE International Workshop on Computer Vision in Sports (at CVPR 2019)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/1919-2\/\" target=\"_blank\" rel=\"noreferrer noopener\">6th IEEE International Workshop on Computer Vision in Sports (at CVPR 2020)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/7th-international-workshop-on-computer-vision-in-sports-cvsports\" target=\"_blank\" rel=\"noreferrer noopener\">7th IEEE International Workshop on Computer Vision in Sports (at CVPR 2021)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/8th-international-workshop-on-computer-vision-in-sports\/\" target=\"_blank\" rel=\"noreferrer noopener\">8th IEEE International Workshop on Computer Vision in Sports (at CVPR 2022)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/9th\/\" target=\"_blank\" rel=\"noreferrer noopener\">9th IEEE International Workshop on Computer Vision in Sports (at CVPR 2023)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/vap.aau.dk\/cvsports\/10th\/\" data-type=\"page\" data-id=\"2252\" target=\"_blank\" rel=\"noreferrer noopener\">10th IEEE International Workshop on Computer Vision in Sports (at CVPR 2024)<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Call for papers Program Speakers Organizers Best paper award Congratulations to the winners of the best paper award: Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer &#8211; Daniel Kienzle, Robin Sch\u00f6n, Rainer Lienhart and Shin&#8217;ichi Satoh Program Date and time: June 12, 2025, 1pm-5.15pm (local time in [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2377","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/pages\/2377","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/comments?post=2377"}],"version-history":[{"count":27,"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/pages\/2377\/revisions"}],"predecessor-version":[{"id":2526,"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/pages\/2377\/revisions\/2526"}],"wp:attachment":[{"href":"https:\/\/vap.aau.dk\/cvsports\/wp-json\/wp\/v2\/media?parent=2377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}