Documents publiés en "2024"
Monter d'un niveauDépartement de génie informatique et génie logiciel
Anwar, N., Bilodeau, G.-A., & Bouachir, W. (mai 2024). STF: Spatio-Temporal Fusion Module for Improving Video Object Detection [Communication écrite]. 21st Conference on Robots and Vision, Guelph, Ontario, Canada. Publié dans Proceedings of the Conference on Robots and Vision. Lien externe
Liu, Q., Saunier, N., & Bilodeau, G.-A. (janvier 2024). How Good Are Deep Learning Methods for Automated Road Safety Analysis Using Video Data? An Experimental Study [Communication écrite]. 103rd Transportation Research Board Annual Meeting, Washington, DC, USA. Non disponible
Naimi, S., Bouachir, W., & Bilodeau, G.-A. (décembre 2024). ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOL [Communication écrite]. International Conference on Machine Learning and Applications (ICMLA 2024), Miami, FL, USA. Lien externe
Sabri, K., Djilali, C., Bilodeau, G.-A., Saunier, N., & Bouachir, W. (mai 2024). Detection of micromobility vehicles in urban traffic videos [Communication écrite]. 21st Conference on Robots and Vision (CVR 2024), Guelph, ON, Canada (8 pages). Disponible
Ye, X., & Bilodeau, G.-A. (février 2024). STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction [Communication écrite]. 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, BC, Canada. Publié dans Proceedings of the AAAI Conference on Artificial Intelligence, 38(7). Lien externe
Département des génies civil, géologique et des mines
Liu, Q., Saunier, N., & Bilodeau, G.-A. (janvier 2024). How Good Are Deep Learning Methods for Automated Road Safety Analysis Using Video Data? An Experimental Study [Communication écrite]. 103rd Transportation Research Board Annual Meeting, Washington, DC, USA. Non disponible
Sabri, K., Djilali, C., Bilodeau, G.-A., Saunier, N., & Bouachir, W. (mai 2024). Detection of micromobility vehicles in urban traffic videos [Communication écrite]. 21st Conference on Robots and Vision (CVR 2024), Guelph, ON, Canada (8 pages). Disponible