Manel Baradad

Manel Baradad

mbaradad at mit.edu

About me

I am Manel Baradad Jurjo, last-year PhD student at MIT under the supervision of Prof. Antonio Torralba. I currently work in representation learning and 3D scene understanding, but I am also interested in computational photography and graphics. Before coming to MIT, I did my undergrad at CFIS-UPC, where I was fortunate to work in the Image Processing Group under the supervision of Prof. Xavier Giró-i-Nieto.

I'm looking for full-time industry opportunities starting June-September 2024. You can contact me at: mbaradad at mit dot edu.

Publications

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

CVPR 2024 (Highlight)

[paper] [webpage]

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

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

arxiv 2023

[paper]

Background Prompting for Improved Object Depth

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

arxiv 2023

[paper] [webpage] [code]

Procedural Image Programs for Representation Learning

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

NeurIPS 2022

[paper] [webpage] [code]

Learning to See by Looking at Noise

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

NeurIPS 2021 (Spotlight)

[paper] [webpage] [code]

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

Manel Baradad, Antonio Torralba

CVPR 2020

[paper] [code] [video]

Using Unknown Occluders to Recover Hidden Scenes

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

CVPR 2019

[paper]

Inferring Light Fields From Shadows

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

CVPR 2018 (Spotlight)

[paper] [code] [video]

Recurrent Neural Networks for Semantic Instance Segmentation

Amaia Salvador, Miriam Bellver, Victor Campos, Manel Baradad, Ferran Marques, Jordi Torres, Xavier Giro-i-Nieto

CVPR 2018 DeepVision Workshop

[paper] [www] [code]

Characterizing chronic disease and polymedication prescription patterns from electronic health records

Martí Zamora, Manel Baradad, Ester Amado, Silvia Cordomí, Esther Limón, Juliana Ribera, Marta Arias and Ricard Gavaldà

DSAA 2015

[paper]