Oscar Mañas

According to our database, Oscar Mañas authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs.

Benno Krojer, Shravan Nayak, Oscar Mañas, Vaibhav Adlakha, Desmond Elliott, Siva Reddy, Marius Mosbach

CoRR, February, 2026

2025

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

CoRR, December, 2025

Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection.

Shivam Chandhok, Qian Yang, Oscar Mañas, Kanishk Jain, Leonid Sigal, Aishwarya Agrawal

CoRR, June, 2025

Controlling Multimodal Llms Via Reward-Guided Decoding.

Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Trans. Mach. Learn. Res., 2024

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

CoRR, 2024

Consistency-diversity-realism Pareto fronts of conditional image generative models.

Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal

CoRR, 2024

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, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

Improving Automatic VQA Evaluation Using Large Language Models.

Oscar Mañas, Benno Krojer, Aishwarya Agrawal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting.

Oscar Mañas, Pau Rodríguez López, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

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

Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data.

Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021