Pedro Morgado

Orcid: 0000-0002-0955-6510

Affiliations:
  • University of Wisconsin-Madison, WI, USA
  • Carnegie Mellon University, Pittsburgh, PA, USA (former)
  • University of California, San Diego, Department of Electrical and Computer Engineering, CA, USA (former)
  • Instituto Superior Técnico, Portugal (former)


According to our database1, Pedro Morgado authored at least 22 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling.
CoRR, 2023

A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition.
Proceedings of the International Conference on Machine Learning, 2023

Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Closer Look at Weakly-Supervised Audio-Visual Source Localization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning State-Aware Visual Representations from Audible Interactions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Challenges of Continuous Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Localizing Visual Sounds the Easy Way.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings.
Int. J. Comput. Vis., 2021

Audio-Visual Instance Discrimination with Cross-Modal Agreement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust Audio-Visual Instance Discrimination.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Representations from Audio-Visual Spatial Alignment.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
NetTailor: Tuning the Architecture, Not Just the Weights.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PIEs: Pose Invariant Embeddings.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Self-Supervised Generation of Spatial Audio for 360° Video.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Semantically Consistent Regularization for Zero-Shot Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer's disease.
Neurocomputing, 2015

Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages.
Comput. Biol. Medicine, 2015

2013
Diagnosis of Alzheimer's disease using 3D local binary patterns.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2013

Texton-based diagnosis of Alzheimer's disease.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Efficient selection of non-redundant features for the diagnosis of Alzheimer'S disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Extending local binary patterns to 3D for the diagnosis of Alzheimer's Disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013


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