3 papers
cs.CV2022
FenceNet: Fine-grained Footwork Recognition in Fencing
Kevin Zhu, Alexander Wong, John McPhee
Current data analysis for the Canadian Olympic fencing team is primarily done manually by coaches and analysts. Due to the highly repetitive, yet dynamic and subtle movements in fe…
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…