Pedro Morgado

Postdoctoral Fellow

Robotics Institute

Carnegie Mellon University

EmailCVScholarGithub

I am currently a postdoc researcher in the Robotics Institute at Carnegie Mellon, working with Abhinav Gupta. In the Fall of 2022, I will be joining the ECE department at the University of Wisconsin Madison as an assistant professor. Previously, I completed my PhD at the University of California San Diego advised by Nuno Vasconcelos. Before UC San Diego, I completed both BSc and MSc degrees from Instituto Superior Técnico, Universidade de Lisboa, Portugal, where I worked with Margarida Silveira and Jorge S Marques.

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, few-shot and other transfer learning problems, self-supervised learning, multimodal supervision, and efficient training and deployment procedures.


Publications

The Challenges of Continuous Self-Supervised Learning

Senthil Purushwalkam *,  Pedro Morgado *,  Abhinav Gupta

(preprint)

paper

Localizing Visual Sounds the Easy Way

Shentong MoPedro Morgado

(preprint)

paper code

Learning to see and hear without human supervision

Pedro Morgado

PhD Thesis, University of California San Diego, 2021.

thesis

Robust Audio-Visual Instance Discrimination

Pedro MorgadoIshan MisraNuno Vasconcelos

IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.

paper video Oral presentation

Audio-Visual Instance Discrimination with Cross-Modal Agreement

Pedro MorgadoNuno VasconcelosIshan Misra

IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.

paper code video blogpost Best paper candidate

Audio-Visual Instance Discrimination

ECCV Workshop - Multi-Modal Video Analysis, 2020.

paper talk

Learning Representations from Audio-Visual Spatial Alignment

Pedro Morgado *,  Yi Li *,  Nuno Vasconcelos

Neural Information Processing Systems (NeurIPS), 2020.

paper suppl code video

[Workshop] Learning Representations from Audio-Visual Spatial Alignment

Yi Li *,  Pedro Morgado *,  Nuno Vasconcelos

CVPR Workshop - Sight and Sound, 2021.

paper talk

Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings

Pedro MorgadoYunsheng LiJose Costa PereiraMohammad SaberianNuno Vasconcelos

International Journal of Computer Vision (IJCV), 2020.

paper

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

Tz-Ying WuPedro MorgadoPei WangChih-Hui HoNuno Vasconcelos

European Conference on Computer Vision (ECCV), Glasgow, UK, Virtual, 2020.

paper suppl code website video

NetTailor: Tuning the Architecture, Not Just the Weights

Pedro MorgadoNuno Vasconcelos

IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.

paper code website

[Workshop] NetTailor: Tuning the Architecture, Not Just the Weights

Southern California Machine Learning Symposium (SCMLS), 2020.

paper

PIEs: Pose Invariant Embeddings

Chih-Hui HoPedro MorgadoAmir PersekianNuno Vasconcelos

IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.

paper suppl code data website

Self-Supervised Generation of Spatial Audio for 360° Video

Pedro MorgadoNuno VasconcelosTimothy LangloisOliver Wang

Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018.

paper code data website video

Semantically Consistent Regularization for Zero-Shot Recognition

Pedro MorgadoNuno Vasconcelos

IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, 2017.

paper code

Minimal Neighborhood Redundancy Maximal Relevance: Application to the Diagnosis of Alzheimer's Disease

Pedro MorgadoMargarida Silveira

Neurocomputing, Vol. 155, pp. 295-308, May, 2015.

paper

Efficient Selection of Non-redundant Features for the Diagnosis of Alzheimer's Disease

International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, 2013.

paper Oral presentation

Predicting Conversion from MCI to AD with FDG-PET Brain Images at Different Prodromal Stages

Carlos Cabral ,  Pedro MorgadoDurval C. CostaMargarida Silveira

Computers in Biology and Medicine, Vol. 58, pp. 101-109, March, 2015

paper

Texton-based Diagnosis of Alzheimer's Disease

Pedro MorgadoMargarida SilveiraDurval C. Costa

IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), Southampton, UK, 2013.

paper

Diagnosis of Alzheimer's disease using 3D Local Binary Patterns

Pedro MorgadoMargarida SilveiraJorge S. Marques

Computer Methods in Biomechanics and Biomedical Engineering: Imaging Visualization, Vol. 1, April, 2013

paper

Extending Local Binary Patterns to 3D for the Diagnosis of Alzheimer's Disease

International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, 2013.

paper

Automated Diagnosis of Alzheimer's Disease using PET Images: A study of alternative procedures for feature extraction and selection

Pedro Morgado

Master Thesis, Instituto Superior Tecnico, Lisboa, Portugal.

thesis summary


Vitae

Education

University of California, San Diego

Ph.D., Electrical and Computer Engineering

2021

Instituto Superior Técnico, Lisbon, Portugal

M.Sc., Electrical and Computer Engineering

2012

Instituto Superior Técnico, Lisbon, Portugal

B.Sc., Electrical and Computer Engineering

2010

Research Experience

Carnegie Mellon University, Pittsburgh

Postdoctoral Fellow

2021-Now

University of California, San Diego

Graduate Student Resercher

2015-2021

Facebook AI Research (FAIR), New York

Research Intern

Summer, 2019

Adobe, Seattle

Research Scientist Intern

Summer, 2017

University of California, San Diego

Teaching Assistant, Digital Signal Processing II

Spring, 2016

Institute for Systems and Robotics, Lisbon, Portugal

Graduate Reserch Assistent

2012-2015

Awards & Fellowships

Reviewer recognition

•   Outstanding reviewer, NeurIPS, 2021
•   Outstanding reviewer, CVPR, 2021
•   Top 10% reviewer, NeurIPS 2020
•   Top reviewer, NeurIPS 2019
•   Outstanding reviewer, ICCV, 2017

Fundação para a Ciência e Tecnologia

Graduate Fellowship

2015-2019

University of California, San Diego

Graduate Fellowship

2014