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Pedro Morgado

Pedro Morgado

PhD
Electrical & Computer Engineering
University of California, San Diego


Brief Bio

I've completed my Ph.D. at the University of California San Diego under the supervision of Prof. Nuno Vasconcelos. The title of my dissertation was "Learning to see and hear without human supervision". After graduation, I will be doing a postdoc at CMU working with Prof. Abhinav Gupta and, in the Fall of 2022, I will join the ECE department at the University of Wisconsin Madison as an Assistant Professor. Before UC San Diego, I earned both B.Sc. and M.Sc. degrees from Instituto Superior T├ęcnico, Universidade de Lisboa, Portugal in 2010 and 2012, respectively, where I worked with I worked with Prof. Margarida Silveira.

For up-to-date information about my work, please visit my new webpage.

Research

I am interested in computer vision and machine learning. Specifically, my research focuses on developing learning and deployment frameworks that enable deep learning to operate with restricted labeled data and restricted computing power. As such, I maintain an active interest in areas such as zero-shot, low-shot learning and other transfer learning problems, self-supervised learning, multimodal supervision, and efficient training and deployment procedures.

Publications

Learning to see and hear without human supervision
Pedro Morgado
University of California San Diego, 2021.

Website    Thesis

Robust Audio-Visual Instance Discrimination
Pedro Morgado, Ishan Misra and Nuno Vasconcelos
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021. (Oral presentation)

PDF    ArXiv    Video    BibTeX

Audio-Visual Instance Discrimination with Cross-Modal Agreement
Pedro Morgado, Nuno Vasconcelos and Ishan Misra
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021. (Best paper award candidate)

Blogpost    PDF    ArXiv    Code    Video    BibTeX

Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos
International Journal of Computer Vision (IJCV), 2020.

PDF    Springer    arXiv    BibTeX

Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado*, Yi Li* and Nuno Vasconcelos
Advances in Neural Information Processing Systems (NeurIPS), 2020.

PDF    arXiv    BibTeX    Code    Video

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho and Nuno Vasconcelos
European Conference on Computer Vision (ECCV), Glasgow, UK, 2020.

Website    Arxiv    Supp    BibTeX    Code

NetTailor: Tuning the Architecture, Not Just the Weights
Pedro Morgado and Nuno Vasconcelos
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.

Website    PDF    BibTeX    Code

PIEs: Pose Invariant Embeddings
Chih-Hui Ho, Pedro Morgado, Amir Persekian and Nuno Vasconcelos
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.

Website    PDF    Supp    BibTeX    Dataset    Code

Self-Supervised Generation of Spatial Audio for 360° Video
Pedro Morgado, Nuno Vasconcelos, Timothy Langlois and Oliver Wang
Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018.

Website    PDF    arXiv    BibTeX    Code

Semantically Consistent Regularization for Zero-Shot Recognition
Pedro Morgado and Nuno Vasconcelos
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawai, 2017.

Website    PDF    arXiv    BibTeX    Code

Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer's disease
Pedro Morgado and Margarida Silveira
Neurocomputing
Vol. 155, pp. 295-308, May, 2015

Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages
Carlos Cabral, Pedro Morgado, Durval Campos Costa and Margarida Silveira
Computers in Biology and Medicine
Vol. 58, pp. 101-109, March, 2015

Diagnosis of Alzheimer's disease using 3D Local Binary Patterns
Pedro Morgado, Margarida Silveira and Jorge S Marques
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Vol. 1, April, 2013

Texton-based diagnosis of Alzheimer's disease
Pedro Morgado, Margarida Silveira and Durval C Costa
IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
Southampton, United Kingdom, 2013

Efficient selection of non-redundant features for the diagnosis of Alzheimer's disease
Pedro Morgado, Margarida Silveira and Jorge S Marques
International Symposium on Biomedical Imaging (ISBI)
San Francisco, CA, United States, 2013
(Oral presentation)

Extending Local Binary Patterns to 3D for the diagnosis of Alzheimer's disease
Pedro Morgado, Margarida Silveira and Jorge S Marques
International Symposium on Biomedical Imaging (ISBI)
San Francisco, CA, United States, 2013

Automated Diagnosis of Alzheimer's Disease using PET Images: A study of alternative procedures for feature extraction and selection
Pedro Morgado
MSc Thesis, Instituto Superior Tecnico
Lisboa, Portugal, 2012.

Education

UCSD

University of California, San Diego
Ph.D. Student in Electrical Engineering

2014-Now
La Jolla, CA, United States

UCSD

Instituto Superior Técnico
M.Sc. in Electrical and Computer Engineering

2012
Lisbon, Portugal

Dissertation: Automated diagnosis of Alzheimer's Diesease using PET images

UCSD

Instituto Superior Técnico
B.Sc. in Electrical and Computer Engineering

2010
Lisbon, Portugal

Professional Experience

UCSD

University of California, San Diego
Graduate Student Resercher

San Diego, CA
United States
2014-Now

Facebook AI Research

Facebook AI Research
Intern Research Scientist

New York, NY
United States
Summer, 2019

Adobe

Adobe Research
Intern Research Scientist

Seattle, WA
United States
Summer, 2017

ISR

Institute for Systems and Robotics
Graduate Reserch Assistent

Lisbon
Portugal
2012-2014

Awards and Honors

FCT

Fundacao para a Ciencia e Tecnologia
Graduate Fellowship

2015-2019

UCSD

University of California, San Diego
Graduate Fellowship

2014



Updated: August, 2021.



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