2 citations · 4 across the 7 of their papers we have counts for
11 papers
Evaluating deep tracking models for player tracking in broadcast ice hockey video
Kanav Vats, Mehrnaz Fani, David A. Clausi +1
Tracking and identifying players is an important problem in computer vision based ice hockey analytics. Player tracking is a challenging problem since the motion of players in hock…
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…
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…
Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions
Kanav Vats, Mehrnaz Fani, Pascale Walters +2
In problems such as sports video analytics, it is difficult to obtain accurate frame level annotations and exact event duration because of the lengthy videos and sheer volume of vi…