| Towards automated swimming analytics using deep neural networks T Woinoski, A Harell, IV Bajic arXiv preprint arXiv:2001.04433, 2020 | 16 | 2020 |
| Swimmer stroke rate estimation from overhead race video T Woinoski, IV Bajić 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2021 | 9 | 2021 |
| Towards automated key-point detection in images with partial pool view T Woinoski, IV Bajic Proceedings of the 5th International ACM Workshop on Multimedia Content …, 2022 | 1 | 2022 |
| A Deep Multi-Object Tracking Technique in Swimming Video Scenes DY Shin, T Woinoski, IV Bajić, SW Lee 2023 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2023 | | 2023 |
| Decomposed Key-Point Detector for Swimming Pool Localization C Lee, T Woinoski, IV Bajić 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW …, 2023 | | 2023 |
| Smart Swim [swimmer tracking system]-video-MovingMoters. mp4 K Elbo-Iswadi, G Brar, E Cai, K Chen, R Kim, T Woinoski, SS Analytics Simon Fraser University, 2021 | | 2021 |
| Smart Swim [swimmer tracking system]-company2Design Specifications 405W. pdf K Elbo-Iswadi, G Brar, E Cai, K Chen, R Kim, T Woinoski, SS Analytics Simon Fraser University, 2021 | | 2021 |
| Smart Swim [automated swimming analysis system]-video-MovingMoters. mp4_. zip K Elbo-Iswadi, G Brar, E Cai, K Chen, R Kim, T Woinoski, SS Analytics Simon Fraser University, 2021 | | 2021 |
| Smart Swim [automated swimming analysis system] K Elbo-Iswadi, G Brar, E Cai, K Chen, R Kim, T Woinoski, SS Analytics Simon Fraser University, 2021 | | 2021 |
