ACM MMSports 2023

6th International ACM Workshop on Multimedia Content Analysis in Sports

Program (Sunday Oct 29, 2023)

Starting with the event date, the proceedings material will be available in the ACM DL.
We have assigned a 15 minute slot to every regular and competition paper. Plan to present for 10-12 minutes and allow 3-5 minutes questions and answers (Q&A).

Session 1: Novel MM Analysis Approaches in Sports

Session Chair: Rainer Lienhart
Time slot Talk
8:25 - 8:30 Opening + Welcome
Rainer Lienhart (Universität Augsburg)
8:30 - 8:45 Expected Goals Prediction in Professional Handball using Synchronized Event and Positional Data
Michael Adams, Alexander David, Marc Hesse, Ulrich Rückert
8:45 - 9:00 Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs
Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii
9:00 - 9:15 SkiTech: An Alpine Skiing and Snowboarding Dataset of 3D Body Pose, Sole Pressure, and Electromyography
Erwin Wu, Takashi Matsumoto, Chen-Chieh Liao, RUOFAN LIU, Hidetaka Katsuyama, Yuki Inaba, Noriko Hakamada, Yusuke Yamamoto, YUSUKE ISHIGE, Hideki Koike
9:15 - 9:30 Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning
Alexander Kathan, Shahin Amiriparian, Alexander Gebhard, Andreas Triantafyllopoulos, Maurice Gerczuk, Björn Wolfgang Schuller
9:30 - 9:45 Generating Factually Consistent Sport Highlights Narrations
Noah Sarfati, Ido Yerushalmy, Yosi Keller, Michael Chertok
9:45 - 10:00 DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understanding
Maxime Istasse, Vladimir Somers, Pratheeban Elancheliyan, Jaydeep De, Davide Zambrano
10:00 - 10:30 Coffee Break

Session 2: Analyses in Individual Sports and Team Sports

Session Chair: Hideo Saito
Time slot Talk
10:30 - 10:45 Video-based Skill Assessment for Golf: Estimating Golf Handicap
Christian Keilstrup Ingwersen, Artur Xarles, Albert Clapés, Meysam Madadi, Janus Nørtoft Jensen, Morten Rieger Hannemose, Anders Dahl, Sergio Escalera
10:45 - 11:00 Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking
Amir Mohammad Mansourian, Vladimir Somers, Christophe De Vleeschouwer, Shohreh Kasaei
11:00 - 11:15 Context-Aware 3D Object Localization from Single Calibrated Images: A Study of Basketballs
Marcello Davide Caio, Gabriel Van Zandycke, Christophe De Vleeschouwer
11:15 - 11:30 Event-based High-speed Ball Detection in Sports Video
Takuya Nakabayashi, Akimasa Kondo, Kyota Higa, Andreu Girbau, Shin'ichi Satoh, Hideo Saito
11:30 - 11:45 Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
Jerrin Bright, Yuhao Chen, John S. Zelek
11:45 - 12:00 Rink-Agnostic Hockey Rink Registration
Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David Anthony Clausi
12:30 - 14:00 Lunch Break

Session 3: Keynote and Analyses in Soccer

Session Chair: Rainer Lienhart
Time slot Talk
13:30 - 14:00 Keynote:
AI for Youth Sports: Democratizing Professional Sport Analytics Tools

Mehrsan Javan, Co-Founder, Chief Technology Officer Sportlogiq, Montreal, Canada
14:00 - 14:15 ASTRA: An Action Spotting TRAnsformer for Soccer Videos
Artur Xarles, Sergio Escalera, Thomas B. Moeslund, Albert Clapés
14:15 - 14:30 Dynamic NeRFs for Soccer Scenes
Sacha Lewin, Maxime Vandegar, Thomas Hoyoux, Olivier Barnich, Gilles Louppe
14:30 - 14:45 Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos
Bavesh Balaji, Jerrin Bright, Harish Prakash, Yuhao Chen, David Anthony Clausi, John S. Zelek
14:45 - 15:30 Coffee Break

Session 4: Competitions

Session Chair: Davide Zambrano (Sportradar)
Time slot Talk
15:30 - 15:45 Announcements of the Winners of the 3 Challenges
Davide Zambrano (Sportradar)
15:45 - 17:00 Spotlight presentations of (a) challenge winners and (b) accepted challenge papers listed below:
  • A Sparse Attention Pipeline for DeepSportRadar Basketball Player Instance Segmentation Challenge
    Fang Gao, Wenjie Wu, Yan Jin, Shi Lei, Shengheng Ma
  • Image- and Instance-Level Data Augmentation for Occluded Instance Segmentation
    Jun Yu, Shenshen Du, Ruiqiang Yang, Lei Wang, Minchuan Chen, Qingying Zhu, Shaojun Wang, Jing Xiao
  • Exploring Loss Function and Rank Fusion for Enhanced Person Re-identification
    Jun Yu, Renda Li, Renjie Lu, Wang Lei Lei, YANG SHUO PING, Lei Wang, Minchuan Chen, Qingying Zhu, Shaojun Wang, Jing Xiao
  • Relative Boundary Modeling: A High-Resolution Cricket Bowl Release Detection Framework with I3D Features
    Jun Yu, Wang Lei Lei, Renjie Lu, YANG SHUO PING, Renda Li, Lei Wang, Minchuan Chen, Qingying Zhu, Shaojun Wang, Jing Xiao
  • STAN: Spatial-Temporal Awareness Network for Temporal Action Detection
    Minghao Liu, Haiyi Liu, Sirui Zhao, Fei Ma, Minglei Li, Zonghong Dai, Hao Wang, Tong Xu, Enhong Chen