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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.
Bilodeau, G.-A., & Bergevin, R. (2003, June). Constructing and matching fuzzy graphs of volumetric primitives hypotheses [Paper]. 16th International Conference on Vision Interface (VI 2003), Halifax, NS, Canada. External link
Bilodeau, G.-A., & Bergevin, R. (2003, June). Evaluation of Object Recognition Algorithms with the Image Retrieval Software PLASTIQUE [Paper]. International Conference on Image and Signal Processing (ICISP 2003), Agadir, Morroco. External link
Bilodeau, G.-A., & Bergevin, R. (2003, June). PLASTIQUE: Image retrieval based on cognitive theories [Paper]. 16th International Conference on Vision Interface (VI 2003), Halifax, Canada. External link
Bilodeau, G.-A., & Bergevin, R. (2003, June). Structural Indexing Extended to Fuzzy Graphs of 2D Parts [Paper]. International Conference on Image and Signal Processing (ICISP 2003), Agadir, Morroco. External link
Bilodeau, G.-A., & Bergevin, R. (2002). Part segmentation of objects in real images. Pattern Recognition, 35(12), 2913-2926. External link
Bilodeau, G.-A., & Bergevin, R. (2001, June). Modeling of 2D parts applied to database query [Paper]. 14th International Conference on Vision Interface (VI 2001), Ottawa, ON, Canada. External link
Bilodeau, G.-A., & Bergevin, R. (2000, September). Generic modeling of 3d objects from single 2d images [Paper]. 15th International Conference on Pattern Recognition (ICPR 2000), Barcelona, Spain. External link
Bilodeau, G.-A., & Bergevin, R. (1999, May). Outline-based part segmentation using intermediate-level symmetries [Paper]. 12th International Conference on Vision Interface (VI 1999), Trois-Rivières, Québec, Canada. Unavailable
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
Derue, F.-X., Bilodeau, G.-A., & Bergevin, R. (2018). SPiKeS: Superpixel-keypoints structure for robust visual tracking. Machine Vision and Applications, 29(1), 175-186. External link
Ghadiri, F., Bergevin, R., & Bilodeau, G.-A. (2019). From superpixel to human shape modelling for carried object detection. Pattern Recognition, 89, 134-150. External link
Ghadiri, F., Bergevin, R., & Bilodeau, G.-A. (2017, September). Spatio-temporal consistency to detect and segment carried objects [Paper]. 28th British Machine Vision Conference, London, UK (12 pages). External link
Ghadiri, F., Bergevin, R., & Bilodeau, G.-A. (2016, October). Carried Object Detection Based on an Ensemble of Contour Exemplars [Paper]. 14th European Conference on Computer Vision (ECCV 2016), Amsterdam, The Netherlands. 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., 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
