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This 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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A 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.
Bashbaghi, S., Granger, E., Sabourin, R., & Bilodeau, G.-A. (2017). Dynamic ensembles of exemplar-SVMs for still-to-video face recognition. Pattern Recognition, 69, 61-81. External link
Bashbaghi, S., Granger, E., Sabourin, R., & Bilodeau, G.-A. (2015, August). Ensembles of exemplar-SVMs for video face recognition from a single sample per person [Paper]. 12th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2015), Karlsruhe, Germany (6 pages). External link
Bashbaghi, S., Granger, E., Sabourin, R., & Bilodeau, G.-A. (2014, August). Watch-list screening using ensembles based on multiple face representations [Paper]. 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden. External link
Chakravorty, T., Bilodeau, G.-A., & Granger, E. (2018). Tracking using numerous anchor points. Machine Vision and Applications, 29(2), 247-261. External link
Chakravorty, T., Bilodeau, G.-A., & Granger, E. (2015, September). Contextual object tracker with structure encoding [Paper]. IEEE International Conference on Image Processing (ICIP 2015), Québec City, QC, Canada. External link
Chakravorty, T., Bilodeau, G.-A., & Granger, E. (2014). Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices. (Technical Report). External link
Mokhayeri, F., Granger, E., & Bilodeau, G.-A. (2019). Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person. IEEE Transactions on Information Forensics and Security, 14(3), 757-772. External link
Mokhayeri, F., Granger, E., & Bilodeau, G.-A. (2015, September). Synthetic face generation under various operational conditions in video surveillance [Paper]. IEEE International Conference on Image Processing (ICIP 2015), Québec City, QC, Canada. External link