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Conference and Workshop Papers
- 2022
[c6]Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. NeurIPS 2022- 2021
- [c5]Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba:
Learning to See by Looking at Noise. NeurIPS 2021: 2556-2569 - 2020
- [c4]Manel Baradad, Antonio Torralba:
Height and Uprightness Invariance for 3D Prediction From a Single View. CVPR 2020: 488-497 - 2019
- [c3]Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell:
Using Unknown Occluders to Recover Hidden Scenes. CVPR 2019: 12231-12239 - 2018
- [c2]Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba:
Inferring Light Fields From Shadows. CVPR 2018: 6267-6275 - 2015
- [c1]Martí Zamora, Manel Baradad, Ester Amado
, Silvia Cordomi, Esther Limon, Juliana Ribera, Marta Arias, Ricard Gavaldà:
Characterizing chronic disease and polymedication prescription patterns from electronic health records. DSAA 2015: 1-9
Informal and Other Publications
- 2024
- [i6]Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba:
A Vision Check-up for Language Models. CoRR abs/2401.01862 (2024) - 2023
- [i5]Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon:
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR abs/2303.14537 (2023) - [i4]Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani:
Background Prompting for Improved Object Depth. CoRR abs/2306.05428 (2023) - 2022
- [i3]Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. CoRR abs/2211.16412 (2022) - 2021
- [i2]Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba:
Learning to See by Looking at Noise. CoRR abs/2106.05963 (2021) - 2017
- [i1]Amaia Salvador, Miriam Bellver, Manel Baradad, Ferran Marqués, Jordi Torres, Xavier Giró-i-Nieto:
Recurrent Neural Networks for Semantic Instance Segmentation. CoRR abs/1712.00617 (2017)
Coauthor Index
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