Frederic Branchaud-Charron

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Synthetic Datasets

Terms Of Classification Accuracy

Active Learning

Top Venues

IEEE Trans. Image Process.

Publications

Gabrielle Gauthier Melançon, Orlando Marquez Ayala, Lindsay Brin, Chris Tyler, Frederic Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le
Azimuth: Systematic Error Analysis for Text Classification. EMNLP (Demos) (2022)
Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR (2020)
Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS (2020)
Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
Spectral Metric for Dataset Complexity Assessment. CVPR (2019)
Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
Spectral Metric for Dataset Complexity Assessment. CoRR (2019)
Zhiming Luo, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin
MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization. IEEE Trans. Image Process. 27 (10) (2018)