Pedro Morgado

Assistant Professor

University of Wisconsin-Madison

Electrical and Computer Engineering

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I am an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. My research interests are at the intersection of computer vision and machine learning. Specifically, I develop systems that continuously learn to perceive the world through multiple sensory modalities.

Previously, I was a postdoc researcher at Carnegie Mellon University, working with Abhinav Gupta. I completed my PhD at the University of California San Diego advised by Nuno Vasconcelos, and both BSc and MSc degrees at Instituto Superior Técnico, Universidade de Lisboa, where I worked with Margarida Silveira and Jorge S Marques.

I am looking for highly motivated PhD and MS students to join the lab. If you are interested, please contact me.

News

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Publications

Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System

Kevin T. Le ,  Zhouyuan Yuan ,  Areeb Syed ,  Devin Ratelle ,  Eric C. Orenstein ,  Melissa L. Carter ,  Sarah Strang ,  Kasia M. Kenitz ,  Pedro MorgadoPeter J. S. FranksNuno VasconcelosJules S. Jaffe

Frontiers in Marine Science, 2022.

paper

Localizing Visual Sounds the Easy Way

Shentong MoPedro Morgado

European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.

paper code video

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

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

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

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