27 citations · 31 across the 6 of their papers we have counts for
7 papers
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…
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…
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer
William McNally, Kanav Vats, Alexander Wong +1
Neural architecture search has proven to be highly effective in the design of efficient convolutional neural networks that are better suited for mobile deployment than hand-designe…
PuckNet: Estimating hockey puck location from broadcast video
Kanav Vats, William McNally, Chris Dulhanty +3
Puck location in ice hockey is essential for hockey analysts for determining the location of play and analyzing game events. However, because of the difficulty involved in obtainin…
GolfDB: A Video Database for Golf Swing Sequencing
William McNally, Kanav Vats, Tyler Pinto +3
The golf swing is a complex movement requiring considerable full-body coordination to execute proficiently. As such, it is the subject of frequent scrutiny and extensive biomechani…
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection
William McNally, Alexander Wong, John McPhee
While depth cameras and inertial sensors have been frequently leveraged for human action recognition, these sensing modalities are impractical in many scenarios where cost or envir…