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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Anwar, N., Bilodeau, G.-A., & Bouachir, W. (2024, May). STF: Spatio-Temporal Fusion Module for Improving Video Object Detection [Paper]. 21st Conference on Robots and Vision, Guelph, Ontario, Canada. Published in Proceedings of the Conference on Robots and Vision. External link
Anwar, N., Duplessis-Guidon, P., Bilodeau, G.-A., & Bouachir, W. (2023, June). VisiTherS : visible-thermal infrared stereo disparity estimation of human silhouette [Paper]. IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2023), Vancouver, BC, Canada. External link
Bouachir, W., Torabi, A., Bilodeau, G.-A., & Blais, P. (2016, November). A Bag of Words Approach for Semantic Segmentation of Monitored Scenes [Paper]. International Symposium on Signal, Image, Video and Communications (ISIVC 2016), Tunis, Tunesia. External link
Bouachir, W., & Bilodeau, G.-A. (2015). Collaborative part-based tracking using salient local predictors. Computer Vision and Image Understanding, 137, 88-101. External link
Bouachir, W., & Bilodeau, G.-A. (2015). Exploiting structural constraints for visual object tracking. Image and Vision Computing, 43, 39-49. External link
Bouachir, W., & Bilodeau, G.-A. (2015, January). Part-based tracking via salient collaborating features [Paper]. 15th IEEE Winter Conference on Applications of Computer Vision (WACV 2015), Waikoloa, HI, United states. External link
Bouachir, W. (2014). Suivi d'objets par caractéristiques locales encodant la structure [Ph.D. thesis, École Polytechnique de Montréal]. Available
Bouachir, W., & Bilodeau, G.-A. (2014, March). Structure-aware keypoint tracking for partial occlusion handling [Paper]. IEEE Winter Conference on Applications of Computer Vision (WACV 2014), Steamboat Springs, CO, USA. External link
Bouachir, W., Torabi, A., Bilodeau, G.-A., & Blais, P. (2013). A bag of word approach for semantic segmentation of monitored scenes. (Technical Report). External link
Bouachir, W., & Bilodeau, G.-A. (2013, May). Visual face tracking: A coarse-to-fine target state estimation [Paper]. 10th International Conference on Computer and Robot Vision (CRV 2013), Regina, SK, Canada. 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
El Maâchi, I., Bilodeau, G.-A., & Bouachir, W. (2020). Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait. Expert Systems With Applications, 143, 7 pages. External link
Li, Z., Bilodeau, G.-A., & Bouachir, W. (2021). Multiple convolutional features in Siamese networks for object tracking. Machine Vision and Applications, 32(3), 11 pages. External link
Li, Z., Bilodeau, G.-A., & Bouachir, W. (2018, November). Multi-branch siamese networks with online selection for object tracking [Paper]. 13th International Symposium on Visual Computing (ISVC 2018), Las Vegas, NV. External link
Naimi, S., Said, A., Bouachir, W., & Bilodeau, G.-A. (2025, May). InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait [Paper]. 38th Canadian Conference on Artificial Intelligence (Canadian AI 2025), Calgary, AB, Canada (11 pages). External link
Naimi, S., Bouachir, W., Bilodeau, G.-A., & Mishara, B. (2025, February). SSTAR: Skeleton-Based Spatio-Temporal Action Recognition for Intelligent Video Surveillance and Suicide Prevention in Metro Stations [Paper]. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025), Tucson, AZ, USA. External link
Naimi, S., Bouachir, W., & Bilodeau, G.-A. (2023). 1D-convolutional transformer for Parkinson disease diagnosis from gait. Neural Computing and Applications, 11 pages. External link
Naimi, S., Koubaa, O., Bouachir, W., Bilodeau, G.-A., Jeddore, G., Baines, P., Correia, D. L. P., & Arsenault, A. (2023, December). Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images [Paper]. International Conference on Machine Learning and Applications (ICMLA 2023), Jacksonville, FL, USA. External link
Naimi, S., Bouachir, W., & Bilodeau, G.-A. (2023, December). HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait [Paper]. International Conference on Machine Learning and Applications (ICMLA 2023), Jacksonville, FL, USA. External link
Nguyen, D. M. D., Miah, M., Bilodeau, G.-A., & Bouachir, W. (2022, August). Transformers for 1D signals in Parkinson's disease detection from gait [Paper]. 26th International Conference on Pattern Recognition (ICPR 2022), Montreal, Qc, Canada. External link
Sabri, K., Djilali, C., Bilodeau, G.-A., Saunier, N., & Bouachir, W. (2024, May). Detection of micromobility vehicles in urban traffic videos [Paper]. 21st Conference on Robots and Vision (CVR 2024), Guelph, ON, Canada (8 pages). Available
Zhenxi, L., Bilodeau, G.-A., & Bouachir, W. (2021, January). MFST: Multi-Features Siamese Tracker [Paper]. 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy. External link
