27 citations · 39 across the 12 of their papers we have counts for
6 papers · 1 filter
Player Tracking and Identification in Ice Hockey
Kanav Vats, Pascale Walters, Mehrnaz Fani +2
Tracking and identifying players is a fundamental step in computer vision-based ice hockey analytics. The data generated by tracking is used in many other downstream tasks, such as…
Ice hockey player identification via transformers and weakly supervised learning
Kanav Vats, William McNally, Pascale Walters +2
Identifying players in video is a foundational step in computer vision-based sports analytics. Obtaining player identities is essential for analyzing the game and is used in downst…
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
William McNally, Kanav Vats, Alexander Wong +1
In keypoint estimation tasks such as human pose estimation, heatmap-based regression is the dominant approach despite possessing notable drawbacks: heatmaps intrinsically suffer fr…
Multi-task learning for jersey number recognition in Ice Hockey
Kanav Vats, Mehrnaz Fani, David A. Clausi +1
Identifying players in sports videos by recognizing their jersey numbers is a challenging task in computer vision. We have designed and implemented a multi-task learning network fo…
Puck localization and multi-task event recognition in broadcast hockey videos
Kanav Vats, Mehrnaz Fani, David A. Clausi +1
Puck localization is an important problem in ice hockey video analytics useful for analyzing the game, determining play location, and assessing puck possession. The problem is chal…
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera
William McNally, Pascale Walters, Kanav Vats +2
Existing multi-camera solutions for automatic scorekeeping in steel-tip darts are very expensive and thus inaccessible to most players. Motivated to develop a more accessible low-c…