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Oscar Mañas
Oscar Mañas
Université de Montréal, Mila, Meta FAIR
Verified email at mila.quebec - Homepage
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Year
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
O Mañas, A Lacoste, X Giro-i-Nieto, D Vazquez, P Rodriguez
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3562021
A weakly supervised consistency-based learning method for COVID-19 segmentation in CT images
I Laradji, P Rodriguez, O Manas, K Lensink, M Law, L Kurzman, W Parker, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
1112021
An introduction to vision-language modeling
F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ...
arXiv preprint arXiv:2405.17247, 2024
1092024
Mapl: Parameter-efficient adaptation of unimodal pre-trained models for vision-language few-shot prompting
O Mañas, P Rodriguez, S Ahmadi, A Nematzadeh, Y Goyal, A Agrawal
arXiv preprint arXiv:2210.07179, 2022
552022
Improving automatic vqa evaluation using large language models
O Mañas, B Krojer, A Agrawal
Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4171-4179, 2024
422024
Improving text-to-image consistency via automatic prompt optimization
O Mañas, P Astolfi, M Hall, C Ross, J Urbanek, A Williams, A Agrawal, ...
arXiv preprint arXiv:2403.17804, 2024
332024
Consistency-diversity-realism Pareto fronts of conditional image generative models
P Astolfi, M Careil, M Hall, O Mañas, M Muckley, J Verbeek, AR Soriano, ...
arXiv preprint arXiv:2406.10429, 2024
12*2024
Evalgim: A library for evaluating generative image models
M Hall, O Mañas, R Askari-Hemmat, M Ibrahim, C Ross, P Astolfi, TB Ifriqi, ...
arXiv preprint arXiv:2412.10604, 2024
32024
Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection
S Chandhok, Q Yang, O Manas, K Jain, L Sigal, A Agrawal
arXiv preprint arXiv:2506.01085, 2025
2025
Controlling Multimodal LLMs via Reward-guided Decoding
O Mañas, P D'Oro, K Sinha, A Romero-Soriano, M Drozdzal, A Agrawal
Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 0
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