Baradad, Manel

7 publications

TMLR 2025 Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon

ICML 2025 Separating Knowledge and Perception with Procedural Data Adrian Rodriguez-Munoz, Manel Baradad, Phillip Isola, Antonio Torralba

CVPR 2024 A Vision Check-up for Language Models Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrian Rodriguez-Munoz, Shivam Duggal, Phillip Isola, Antonio Torralba

NeurIPS 2022 Procedural Image Programs for Representation Learning Manel Baradad, Richard Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola

CVPR 2020 Height and Uprightness Invariance for 3D Prediction from a Single View Manel Baradad, Antonio Torralba

CVPR 2019 Using Unknown Occluders to Recover Hidden Scenes Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell

CVPR 2018 Inferring Light Fields from Shadows Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba