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Bengio, Y., Gupta, P., Maharaj, T., Rahaman, N., Weiss, M., Deleu, T., Muller, E., Qu, M., Schmidt, V., St-Charles, P.-L., Alsdurf, H., Bilanuik, O., Buckeridge, D., Caron, G. M., Carrier, P.-L., Ghosn, J., Ortiz-Gagne, S., Pal, C., Rish, I., ... Williams, A. (2021, May). Predicting infectiousness for proactive contact tracing [Paper]. 9th International Conference on Learning Representations (ICLR 2021), Vienne, Austria. Unavailable
Bilodeau, G.-A., Torabi, A., St-Charles, P.-L., & Riahi, D. (2014). Thermal-visible registration of human silhouettes: A similarity measure performance evaluation. Infrared Physics & Technology, 64, 79-86. External link
Chen, G., St-Charles, P.-L., Bouachir, W., Bilodeau, G.-A., & Bergevin, R. (2015, September). Reproducible evaluation of Pan-Tilt-Zoom tracking [Paper]. IEEE International Conference on Image Processing (ICIP 2015), Québec City, QC, Canada. External link
Nguyen, D.-L., St-Charles, P.-L., & Bilodeau, G.-A. (2016, June). Non-planar Infrared-Visible Registration for Uncalibrated Stereo Pairs [Paper]. 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2016), Las Vegas, Nevada. External link
St-Charles, P.-L., Bilodeau, G.-A., & Bergevin, R. (2019). Online Mutual Foreground Segmentation for Multispectral Stereo Videos. International Journal of Computer Vision, 127(8), 1044-1062. External link
St-Charles, P.-L. (2018). Segmentation mutuelle d'objets d'intérêt dans des séquences d'images stéréo multispectrales [Ph.D. thesis, École Polytechnique de Montréal]. Available
St-Charles, P.-L., Bilodeau, G.-A., & Bergevin, R. (2016, June). Fast Image Gradients Using Binary Feature Convolutions [Paper]. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2016), Las Vegas, Nevada. External link
St-Charles, P.-L., Bilodeau, G.-A., & Bergevin, R. (2016). Universal Background Subtraction Using Word Consensus Models. IEEE Transactions on Image Processing, 25(10), 4768-4781. External link
St-Charles, P.-L., Bilodeau, G.-A., & Bergevin, R. (2015, January). A self-adjusting approach to change detection based on background word consensus [Paper]. 15th IEEE Winter Conference on Applications of Computer Vision (WACV 2015), Waikoloa, HI, United states. External link
St-Charles, P.-L., Bilodeau, G.-A., & Bergevin, R. (2015). SuBSENSE: A universal change detection method with local adaptive sensitivity. IEEE Transactions on Image Processing, 24(1), 359-373. External link
St-Charles, P.-L., Bilodeau, G.-A., & Bergevin, R. (2014, June). Flexible background subtraction with self-balanced local sensitivity [Paper]. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2014), Columbus, OH, United states. External link
St-Charles, P.-L., & Bilodeau, G.-A. (2014, March). Improving background subtraction using Local Binary Similarity Patterns [Paper]. IEEE Winter Conference on Applications of Computer Vision (WACV 2014), Steamboat Springs, Col., USA. External link
