Program
Date and time: June 12, 2025, 1pm-5.15pm (local time in Nashville)
| 1.00-1.10pm | Welcome to CVsports | Thomas Moeslund, Anthony Cioppa, Silvio Giancola |
| 1.10-1.40pm | Invited talk | Roland Memisevic, Qualcomm |
| 1.40-2.40pm | Oral presentations | 5 papers of 12 minutes each (8 min. pres. + 4 min. questions), see papers in table below |
| 2.40-4.15pm | Poster session + coffee break | All papers, see list of papers in table below |
| 4.15-4.45pm | Invited talk | Katie Mills, FIFA & Sheffield Hallam University |
| 4.45-5.00pm | SoccerNet challenge results | Anthony Cioppa, Silvio Giancola |
| 5.00-5.15pm | Best paper award and closing words | Thomas Moeslund, Anthony Cioppa, Silvio Giancola |
Keynote speakers:
- Roland Memisevic, Senior Director at Qualcomm
- Talk: Live fitness coaching as a testbed for real-world conversational AI
- 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. 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 “game”, consisting of a sequence of timed exercises and a strict definition of what counts as a correct or less correct action. 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.
- Katie Mills, Football Research Consultant at FIFA & Research Fellow at Sheffield Hallam University
- Talk: Advancing Football Through Research on a Global Stage
- Abstract: At FIFA, research and innovation are at the heart of the game’s evolution. The FIFA Research Programme fosters collaboration between academia, industry and football stakeholders to develop and validate innovations that enhance the game’s integrity, performance, and accessibility. Our work provides the empirical foundation to tackle some of football’s biggest technological challenges – from improving match officiating with semi-automated offside technologies, to enabling deeper tactical and performance analysis through advanced tracking systems. We’re 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’re helping make football more accessible, data-driven, and ready for the future.
Accepted papers:
Call for Papers
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. To this end we welcome computer vision-based research contributions as well as best-practice contributions focusing on the following (and similar) topics:
- estimation of position and motion of cameras and participants in sports
- tracking people and objects in sports
- activity recognition in sports
- event detection in sports
- spectator monitoring
- annotation and indexing in sports
- graphical effects in sports
- analysis of injuries in sports
- performance assessment in sports
- alternative sensing in sports (beyond the visible spectrum)
- tactics analysis in sports
- automatic narration and captioning in sports
- training assistance in sports
- augmented/virtual reality in sports
- datasets in sports
- bias in sports
- XAI in sports
- ethics & algorithms in sports
Important dates
Submission deadline: March 5 Extended: March 11, 2025 (Anywhere on Earth)
Notification: March 25 27, 2025
Camera ready deadline: April 5 14, 2025 (hard deadline)
Submission
Paper submission: https://cmt3.research.microsoft.com/CVsports2025/
Author guidelines: Please follow the guidelines from CVPR main conference: https://cvpr.thecvf.com/Conferences/2025/AuthorGuidelines
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
Competition – SoccerNet
Participate in our 2025 SoccerNet challenges and explore research in sports video analysis!
This year’s tasks include: Ball action spotting, Game state reconstruction, Multi-view foul recognition, Monocular depth estimation.
Read more about the challenges: https://www.soccer-net.org/challenges/2025
Sponsors:
Organizers
- Rikke Gade, Aalborg University, Denmark
- Thomas Moeslund, Aalborg University, Denmark
- Graham Thomas, BBC, UK
- Adrian Hilton, University of Surrey, UK
- Jim Little, University of British Columbia, Canada
- Michele Merler, IBM Research, USA
- Silvio Giancola, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
- Anthony Cioppa, University of Liège, Belgium
Previous editions of CVsports
- 1st IEEE International Workshop on Computer Vision in Sports (at CVPR 2013)
- 2nd IEEE International Workshop on Computer Vision in Sports (at ICCV 2015)
- 3rd IEEE International Workshop on Computer Vision in Sports (at CVPR 2017)
- 4th IEEE International Workshop on Computer Vision in Sports (at CVPR 2018)
- 5th IEEE International Workshop on Computer Vision in Sports (at CVPR 2019)
- 6th IEEE International Workshop on Computer Vision in Sports (at CVPR 2020)
- 7th IEEE International Workshop on Computer Vision in Sports (at CVPR 2021)
- 8th IEEE International Workshop on Computer Vision in Sports (at CVPR 2022)
- 9th IEEE International Workshop on Computer Vision in Sports (at CVPR 2023)
- 10th IEEE International Workshop on Computer Vision in Sports (at CVPR 2024)