Pedro O. Pinheiro

According to our database, Pedro O. Pinheiro authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

2023

3D molecule generation by denoising voxel grids.

Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew M. Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Touch-based Curiosity for Sparse-Reward Tasks.

Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro

CoRR, 2021

Haptics-based Curiosity for Sparse-reward Tasks.

Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville, Pedro O. Pinheiro

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Unsupervised Learning of Dense Visual Representations.

Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmalek, Florian Golemo, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforced active learning for image segmentation.

Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal

Proceedings of the 8th International Conference on Learning Representations, 2020

Proposal-Based Instance Segmentation With Point Supervision.

Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt

Proceedings of the IEEE International Conference on Image Processing, 2020

CLAREL: Classification via retrieval loss for zero-shot learning.

Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal

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

2019

Fine-grained zero-shot recognition with metric rescaling.

Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal

CoRR, 2019

Instance Segmentation with Point Supervision.

Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt

CoRR, 2019

Predicting Global Variations in Outdoor PM2.5 Concentrations using Satellite Images and Deep Convolutional Neural Networks.

Kris Y. Hong, Pedro O. Pinheiro, Scott Weichenthal

CoRR, 2019

Reinforced Imitation in Heterogeneous Action Space.

Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro

CoRR, 2019

Adaptive Cross-Modal Few-shot Learning.

Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Multisensory Scene Inference.

Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Domain-Adaptive Single-View 3D Reconstruction.

Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Framing for Image and Video Classification.

Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Single-View 3D Reconstruction with Adversarial Training.

Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn

CoRR, 2018

Where Are the Blobs: Counting by Localization with Point Supervision.

Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt

Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Domain Adaptation With Similarity Learning.

Pedro O. Pinheiro

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