Manel Baradad Jurjo

According to our database, Manel Baradad Jurjo authored at least 10 papers between 2015 and 2024.

Collaborative distances:

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

2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba

CoRR, 2024

2023

Background Prompting for Improved Object Depth.

Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani

CoRR, 2023

Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space.

Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon

CoRR, 2023

2022

Procedural Image Programs for Representation Learning.

Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning to See by Looking at Noise.

Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Height and Uprightness Invariance for 3D Prediction From a Single View.

Manel Baradad, Antonio Torralba

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Using Unknown Occluders to Recover Hidden Scenes.

Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Inferring Light Fields From Shadows.

Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Recurrent Neural Networks for Semantic Instance Segmentation.

Amaia Salvador, Miriam Bellver, Manel Baradad, Ferran Marqués, Jordi Torres, Xavier Giró-i-Nieto

CoRR, 2017

2015

Characterizing chronic disease and polymedication prescription patterns from electronic health records.

Martí Zamora, Manel Baradad, Ester Amado, Silvia Cordomi, Esther Limon, Juliana Ribera, Marta Arias, Ricard Gavaldà

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015