Laradji, Issam

10 publications

WACV 2023 OCR-VQGAN: Taming Text-Within-Image Generation Juan A. Rodríguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez

CVPR 2022 Kubric: A Scalable Dataset Generator Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

JMLR 2022 Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence Julie Nutini, Issam Laradji, Mark Schmidt

CVPR 2022 Neural Point Light Fields Julian Ost, Issam Laradji, Alejandro Newell, Yuval Bahat, Felix Heide

WACV 2021 A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images Issam Laradji, Pau Rodriguez, Oscar Manas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahrai

ICCV 2021 Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji, Laurent Charlin, David Vazquez

WACV 2021 Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli

ECCV 2020 Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste

NeurIPS 2019 Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates Sharan Vaswani, Aaron Mishkin, Issam Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien

ICML 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule than Random Selection Julie Nutini, Mark Schmidt, Issam Laradji, Michael Friedlander, Hoyt Koepke