| 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 | 298 | 2021 |
| 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 | 104 | 2021 |
| 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 | 49 | 2024 |
| 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 | 41 | 2022 |
| 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 | 22 | 2024 |
| 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 | 19 | 2024 |
| Rim Assouel F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen …, 2024 | 11 | 2024 |
| EvalGIM: A Library for Evaluating Generative Image Models M Hall, O Mañas, R Askari, M Ibrahim, C Ross, P Astolfi, TB Ifriqi, ... arXiv preprint arXiv:2412.10604, 2024 | | 2024 |
| 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 | | 2024 |
| 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 | | |
Pau RodríguezApple Machine Learning Research, ELLIS memberBestätigte E-Mail-Adresse bei apple.com