Oscar Mañas

Oscar Mañas

Multimodal Generative AI Researcher

Multimodal LearningVision-Language ModelsLarge Language ModelsDiffusion ModelsText-to-Image GenerationVideo GenerationControllable Generation

Publications

You can also find my articles on my Google Scholar profile.
LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs
LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs
Benno Krojer, Shravan Nayak, Oscar Mañas, Vaibhav Adlakha, Desmond Elliott, Siva Reddy, Marius Mosbach
arXiv 2026
paper
SneakPeek: Future-Guided Instructional Streaming Video Generation
SneakPeek: Future-Guided Instructional Streaming Video Generation
Cheeun Hong, German Barquero, Fadime Sener, Markos Georgopoulos, Edgar Schönfeld, Stefan Popov, Yuming Du, Oscar Mañas, Albert Pumarola
arXiv 2025
paper
Controlling Multimodal LLMs via Reward-guided Decoding
Controlling Multimodal LLMs via Reward-guided Decoding
Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal
ICCV 2025
first author paper
Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection
Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection
Shivam Chandhok, Qian Yang, Oscar Mañas, Kanishk Jain, Leonid Sigal, Aishwarya Agrawal
CVPR 2026
paper
EvalGIM: A Library for Evaluating Generative Image Models
EvalGIM: A Library for Evaluating Generative Image Models
Melissa Hall, Oscar Mañas, Reyhane Askari Hemmat, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada Ifriqi, Marton Havasi, Yohann Benchetrit, Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano
arXiv 2024
paper code
Consistency-Diversity-Realism Pareto Fronts of Conditional Image Generative Models
Consistency-Diversity-Realism Pareto Fronts of Conditional Image Generative Models
Pietro Astolfi, Marlene Careil, Melissa Hall, Oscar Mañas, Matthew Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
arXiv 2024
paper
An Introduction to Vision-Language Modeling
An Introduction to Vision-Language Modeling
Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, et al.
arXiv 2024
paper
Improving Text-to-Image Consistency via Automatic Prompt Optimization
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
TMLR 2024
first author paper
Improving Automatic VQA Evaluation Using Large Language Models
Improving Automatic VQA Evaluation Using Large Language Models
Oscar Mañas, Benno Krojer, Aishwarya Agrawal
AAAI 2024
first author paper
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
Oscar Mañas, Pau Rodríguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
EACL 2023
first author paper code
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez
ICCV 2021
first author paper
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Issam Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
WACV 2021
paper code