Mañas, Oscar

7 publications

ICCV 2025 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

NeurIPSW 2024 Consistency-Diversity-Realism Pareto Fronts of Conditional Image Generative Models Pietro Astolfi, Melissa Hall, Jakob Verbeek, Marlene Careil, Oscar Mañas, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal

NeurIPSW 2024 Controlling Multimodal LLMs via Reward-Guided Decoding Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

AAAI 2024 Improving Automatic VQA Evaluation Using Large Language Models Oscar Mañas, Benno Krojer, Aishwarya Agrawal

TMLR 2024 Improving Text-to-Image Consistency via Automatic Prompt Optimization Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal

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 Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vazquez, Pau Rodríguez