Pedro O. Pinheiro

Publications

Haptics-based Curiosity for Sparse-reward Tasks. Sai Rajeswar Mudumba, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vazquez, Aaron Courville, Pedro O. Pinheiro. At Conference on Robot Learning (CoRL), 2022.

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Unsupervised Learning of Dense Visual Representations. Pedro O. Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo, Aaron Courville. At Conference on Neural Information Processing Systems (NeurIPS), 2020.

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Proposal-based Instance Segmentation with Point Supervision. Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt. At International Conference on Image Processing (ICIP), 2020.

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Reinforced Active Learning for Image Segmentation. Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal. At International Conference on Learning Representations (ICLR), 2020.

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Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Conference on Neural Information Processing Systems (NeurIPS), 2019.

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Neural Multisensory Scene Inference. Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal, Sungjin Ahn. At Conference on Neural Information Processing Systems (NeurIPS), 2019.

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Domain-Adaptive Single-view 3D Reconstruction. Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn. At International Conference on Computer Vision (ICCV), 2019.

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Extending the Spatial Scale of Land Use Regression Models for Ambient Ultrafine Particles using Satellite Images and Deep Convolutional Neural Networks. Kris Y. Hong, Pedro O. Pinheiro, Laura Minet, Marianne Hatzopoulou, Scott Weichenthal. At Journal of Environmental Science (JES), 2019.

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Learning Global Variations in Outdoor PM_2.5 Concentrations with Satellite Images. Yukai (Kris) Hong, Pedro O. Pinheiro, Scott Weichenthal. At Workshop at the International Conference on Machine Learning (ICML), 2019.

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Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Workshop at the International Conference on Learning Representations (ICLR), 2019.

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Adversarial Framing for Image and Video Classification. Konrad Zolna, Michal Zajac, Negar Rostamzadeh, Pedro O. Pinheiro. At Student Abstract at the Association for the Advancement of Artificial Intelligence (AAAI), 2019.

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Reinforced Imitation in Heterogeneous Action Space. Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro. At Workshop at the Neural Information Processing Systems (NeurIPS), 2018.

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Where are the Blobs: Counting by Localization with Point Supervision. Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt. At European Conference on Computer Vision (ECCV), 2018.

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Unsupervised Domain Adaptation with Similarity Learning. Pedro O. Pinheiro. At Computer Vision and Pattern Recognition (CVPR), 2018.

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