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Neural Point Light Fields


Dec 02, 2021
Julian Ost, Issam Laradji, Alejandro Newell, Yuval Bahat, Felix Heide


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A Survey of Self-Supervised and Few-Shot Object Detection


Nov 08, 2021
Gabriel Huang, Issam Laradji, David Vazquez, Simon Lacoste-Julien, Pau Rodriguez

* Awesome Few-Shot Object Detection (Leaderboard) at https://github.com/gabrielhuang/awesome-few-shot-object-detection 

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Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize


Nov 01, 2021
Ryan D'Orazio, Nicolas Loizou, Issam Laradji, Ioannis Mitliagkas


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SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction


Aug 21, 2021
Issam Laradji, Pau RodrĂ­guez, David Vazquez, Derek Nowrouzezahrai


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Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations


Mar 18, 2021
Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji, Laurent Charlin, David Vazquez


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Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery


Nov 14, 2020
Issam Laradji, Pau Rodriguez, Freddie Kalaitzis, David Vazquez, Ross Young, Ed Davey, Alexandre Lacoste


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Affinity LCFCN: Learning to Segment Fish with Weak Supervision


Nov 06, 2020
Issam Laradji, Alzayat Saleh, Pau Rodriguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vazquez


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Synbols: Probing Learning Algorithms with Synthetic Datasets


Sep 14, 2020
Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez


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CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions


Sep 14, 2020
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vazquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji, Davide Maltoni

* Pre-print v1: 12 pages, 3 figures, 8 tables 

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Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients


Jul 08, 2020
Keegan Lensink, Issam Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber

* 9 pages, 5 figures. Fix typo in delimiter between author names in arXiv metadata 

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A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images


Jul 07, 2020
Issam Laradji, Pau Rodriguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vazquez, Derek Nowrouzezahrai


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A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images


Jul 07, 2020
Issam Laradji, Pau Rodriguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahrai


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Learning Data Augmentation with Online Bilevel Optimization for Image Classification


Jun 25, 2020
Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli


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Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)


Jun 11, 2020
Sharan Vaswani, Frederik Kunstner, Issam Laradji, Si Yi Meng, Mark Schmidt, Simon Lacoste-Julien


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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning


Mar 12, 2020
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam Laradji, Irina Rish, Alexande Lacoste, David Vazquez, Laurent Charlin


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Embedding Propagation: Smoother Manifold for Few-Shot Classification


Mar 09, 2020
Pau RodrĂ­guez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste


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Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence


Feb 24, 2020
Nicolas Loizou, Sharan Vaswani, Issam Laradji, Simon Lacoste-Julien

* 27 pages, 5 figures 

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Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation


Oct 11, 2019
Si Yi Meng, Sharan Vaswani, Issam Laradji, Mark Schmidt, Simon Lacoste-Julien


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Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation


Aug 30, 2019
Lironne Kurzman, David Vazquez, Issam Laradji


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Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates


May 24, 2019
Sharan Vaswani, Aaron Mishkin, Issam Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien


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M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning


Jul 06, 2018
Issam Laradji, Reza Babanezhad


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