Most of our recent publications are open-source. Please refer to Publications for the source code and PDF of our papers.
Interpretable Computer Vision for Localization and Classification of Structural Laryngeal Lesions using Digital Flexible Laryngoscopic Images . Journal of Otolaryngology - Head and Neck Surgery, pdf. dataset.
A New Dataset and Comparative Study for Aphid Cluster Detection. AAAI 2023 Workshop, pdf. code. dataset.
Assessing the potential for deep learning and computer vision to identify bumble bee species from images. Scientific Reports, 11(1), 1-10, 2021.pdf. dataset.
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations. Plos ONE, 2021. dataset
Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter. arXiv preprint arXiv:2012.09393, 2020. dataset
Vision-based real-time aerial object localization and tracking for UAV sensing system. IEEE Access, vol.5, pp.23969-23978, 2017. [project page with dataset and source code]
Real-time obstacle detection and tracking for sense-and-avoid mechanism in UAVs. IEEE Transactions on Intelligent Vehicles, 2018. [project page with dataset and source code]
Computer Vision and Intelligence Systems Laboratory George Vari Engineering and Computing Centre Toronto Metropolitan University350 Victoria StreetToronto, ON M5B 2K3
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