Pedro Morgado

PhD Candidate

Electrical and Computer Engineering

University of California, San Diego

Links: Scholar, Github, CV, Email,

I am a Ph.D. candidate in the Statistical Visual Computing Lab (SVCL) with Prof. Nuno Vasconcelos at the University of California, San Diego. Before arriving to UC San Diego, I earned both B.Sc. and M.Sc. degrees from Instituto Superior Técnico, Universidade de Lisboa in 2010 and 2012, respectively.

The focus of my research lies in the intersection between machine learning and computer vision. I am interested in designing deep learning models that are capable of accumulating wisdom over time, from sporadic encounters with data , without forgetting previously acquired knowledge. As such, I've previously worked and maintain an active interest in areas such as multi-task network design, life-long learning, zero-shot, and low-shot learning, multimodal joint embeddings for visual, audio and text embeddings.

Before starting my Ph.D. studies, I worked with Prof. Margarida Silveira in the automatic diagnosis of Alzheimer's disease and its onset stages, from multiple brain imaging modalities such as MRI and PET.


Publications

Find my publication profile at Google Scholar.

Audio-Visual Instance Discrimination with Cross-Modal Agreement

Pedro Morgado, Nuno Vasconcelos, Ishan Misra

Preprint, 2020.

arxiv

Audio-Visual Instance Discrimination

Pedro Morgado, Nuno Vasconcelos, Ishan Misra

ECCV Workshop - Multi-Modal Video Analysis, 2020.

Content coming soon!

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.

arxiv

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, Virtual, 2020.

website pdf suppl arxiv code video

NetTailor: Tuning the Architecture, Not Just the Weights

Pedro Morgado and Nuno Vasconcelos

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

website pdf arxiv code poster

PIEs: Pose Invariant Embeddings

Chih-Hui Ho, Pedro Morgado, Amir Persekian and Nuno Vasconcelos

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

website pdf suppl code data poster

Self-Supervised Generation of Spatial Audio for 360° Video

Pedro Morgado, Nuno Vasconcelos, Timothy Langlois and Oliver Wang

Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, 2018.

website pdf arxiv code data video poster

Semantically Consistent Regularization for Zero-Shot Recognition

Pedro Morgado and Nuno Vasconcelos

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

pdf arxiv code poster

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.

pdf

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

Pedro Morgado and Margarida Silveira

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

pdf poster

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

pdf

Texton-based Diagnosis of Alzheimer's Disease

Pedro Morgado, Margarida Silveira and Durval C Costa

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

pdf poster

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

pdf

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, 2013.

pdf poster


Resume

Education

University of California, San Diego

Ph.D. Student, Electrical Engineering

Current

Instituto Superior Técnico, Lisbon, Portugal

M.Sc., Electrical and Computer Engineering

2012

Instituto Superior Técnico, Lisbon, Portugal

B.Sc., Electrical and Computer Engineering

2010

Professional Experience

University of California, San Diego

Graduate Student Resercher

2015-Now

Facebook AI Research (FAIR), New York, USA

Research Intern

Summer, 2019

Adobe Research, Seattle, USA

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

2012-2014

Awards & Fellowships

Outstanding reviewer

ICCV, 2017

Fundação para a Ciência e Tecnologia

Graduate Fellowship

2015-2019

University of California, San Diego

Graduate Fellowship

2014