4 citations · 7 across the 5 of their papers we have counts for
5 papers
Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Tracking
Qingrui Hu, Atom Scott, Calvin Yeung +1
Recent deep learning-based object detection approaches have led to significant progress in multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on pedestria…
Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures
Calvin Yeung, Prathyush Poduval, Mohsen Imani
Vector Symbolic Architectures (VSAs) have emerged as a novel framework for enabling interpretable machine learning algorithms equipped with the ability to reason and explain their…
Machine Learning for Soccer Match Result Prediction
Rory Bunker, Calvin Yeung, Keisuke Fujii
Machine learning has become a common approach to predicting the outcomes of soccer matches, and the body of literature in this domain has grown substantially in the past decade and…
Foul prediction with estimated poses from soccer broadcast video
Jiale Fang, Calvin Yeung, Keisuke Fujii
Recent advances in computer vision have made significant progress in tracking and pose estimation of sports players. However, there have been fewer studies on behavior prediction w…
Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees
Calvin Yeung, Rory Bunker, Rikuhei Umemoto +1
Machine learning models have become increasingly popular for predicting the results of soccer matches, however, the lack of publicly-available benchmark datasets has made model eva…