activity
20192021
collaborators

5 papers

cs.CV2021

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…

cs.CV2020

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…

cs.CV2019

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…

cs.CV2019

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…

cs.CV2019

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…