I am an Assistant Professor at the University of Wisconsin-Madison in the department of Electrical and Computer Engineering, and affiliated with the Computer Sciences department. 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.
News
- (Apr 2023) Paper on unified audio-visual modeling accepted at ICML 2023. Paper and code coming soon.
- (Mar 2023) Serving as Area Chair at NeurIPS 2023.
- (Feb 2023) Invited talk at the MaVi Seminar Series @ University of Bristol.
- (Feb 2023) Invited talk at the SIO ML Group @ University of California San Diego.
- (Jan 2023) Recieved a WARF Big Data Challenge Grant. Thank you WARF for supporting my research.
- (Nov 2022) Serving as Area Chair at CVPR 2023.
- (Oct 2022) Invited talk at AV4D Workshop @ ECCV 2022.
- (Sep 2022) Two papers (SLAVC and RepLAI) accepted at NeurIPS 2022.
- (Aug 2022) Starting as Assistant Professor at University of Wisconsin-Madison.
- (Jul 2022) Two papers on Continuous SSL and Visual Sound Localization accepted at ECCV 2022.
- (Jun 2022) Invited talk at the Sight and Sound Workshop @ CVPR 2022.
Research Group
PhD Students
- Cheng-En Wu (w/ Yu Hen Hu)
- Yibing Wei
- Lin Zhang
- Sam Church
MSc/Undergrad Students
- Victor Suciu
- Jones Lin
- Yijing Zhang
External Student Collaborators
- Himangi Mittal (CMU)
- Shentong Mo (CMU)
- Kirill Vishniakov (MBZUAI)
Teaching
- CS/ECE 539 - Intro to Artificial Neural Networks (Fall 2023)
- CS/ECE/ME 532 - Matrix Methods in Machine Learning (Spring 2022, Fall 2022)
Publications
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
International Conference on Machine Learning (ICML), Honolulu, HI, 2023.
A Closer Look at Weakly-Supervised Audio-Visual Source Localization
Neural Information Processing Systems (NeurIPS), New Orleans, 2022.
@InProceedings{mo2022_slavc,
title={A Closer Look at Weakly-Supervised Audio-Visual Source Localization},
author={Shentong Mo, Pedro Morgado},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2022}
}
Learning Visual Representation from Audible Interactions
Neural Information Processing Systems (NeurIPS), New Orleans, 2022.
@InProceedings{mittal2022_replai,
title={Learning Visual Representation from Audible Interactions},
author={Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2022}
}
Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System
Frontiers in Marine Science, 2022.
@InProceedings{le2022_plankton_bench,
title={Benchmarking and Automating the Image Recognition Capability of an In Situ Plankton Imaging System},
author={Kevin T. Le, Zhouyuan Yuan, Areeb Syed, Devin Ratelle, Eric C. Orenstein, Melissa L. Carter, Sarah Strang, Kasia M. Kenitz, Pedro Morgado, Peter J. S. Franks, Nuno Vasconcelos and Jules S. Jaffe},
booktitle={Frontiers in Marine Science},
year={2022}
}
The Challenges of Continuous Self-Supervised Learning
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
paper code data video bibtex Oral presentation
@InProceedings{purushwalkam2022_continuous_ssl,
title={The Challenges of Continuous Self-Supervised Learning},
author={Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta},
booktitle={European Conference on Computer Vision (ECCV)},
year={2022}
}
Localizing Visual Sounds the Easy Way
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
@InProceedings{mo2022_ezvsl,
title={Localizing Visual Sounds the Easy Way},
author={Shentong Mo, Pedro Morgado},
booktitle={European Conference on Computer Vision (ECCV)},
year={2022}
}
Learning to see and hear without human supervision
PhD Thesis, University of California San Diego, 2021.
@phdthesis{morgado_phdthesis,
author = {Pedro Morgado},
title = {Learning to see and hear without human supervision},
school = {University of California San Diego},
year = 2021
}
Robust Audio-Visual Instance Discrimination
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
paper video bibtex Oral presentation
@InProceedings{morgado2021_robust_xid,
title={Robust Audio-Visual Instance Discrimination},
author={Pedro Morgado, Ishan Misra, Nuno Vasconcelos},
booktitle={Computer Vision and Pattern Recognition (CVPR), IEEE/CVF Conf. on },
year={2021}}
Audio-Visual Instance Discrimination with Cross-Modal Agreement
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
paper code video blogpost bibtex Best paper candidate
@InProceedings{morgado2021avid,
title={Audio-Visual Instance Discrimination with Cross-Modal Agreement},
author={Pedro Morgado, Nuno Vasconcelos, Ishan Misra},
booktitle={Computer Vision and Pattern Recognition (CVPR), IEEE/CVF Conf. on },
year={2021}
}
Audio-Visual Instance Discrimination
ECCV Workshop - Multi-Modal Video Analysis, 2020.
Learning Representations from Audio-Visual Spatial Alignment
Neural Information Processing Systems (NeurIPS), 2020.
@inproceedings{morgadoNIPS20,
title={Learning Representations from Audio-Visual Spatial Alignment},
author={Pedro Morgado, Yi Li, Nuno Vasconcelos},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2020}
}
[Workshop] Learning Representations from Audio-Visual Spatial Alignment
CVPR Workshop - Sight and Sound, 2021.
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
International Journal of Computer Vision (IJCV), 2020.
@article{MorgadoProxyHashing,
author = {Morgado, Pedro and Li, Yunsheng and Costa Pereira, Jose and Saberian, Mohammad and Vasconcelos, Nuno},
journal = {International Journal of Computer Vision},
title = {Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings},
year = {2020},
doi = {10.1007/s11263-020-01362-7},
isbn = {1573-1405},
url = {https://doi.org/10.1007/s11263-020-01362-7}
}
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier
European Conference on Computer Vision (ECCV), Glasgow, UK, Virtual, 2020.
paper suppl code website video bibtex
@inproceedings{Wu20DeepRTC,
title={Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier},
author={Tz-Ying Wu and Pedro Morgado and Pei Wang and Chih-Hui Ho and Nuno Vasconcelos},
booktitle={European Conference on Computer Vision (ECCV)},
year={2020}
}
NetTailor: Tuning the Architecture, Not Just the Weights
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
@inproceedings{morgado2019nettailor,
title={NetTailor: Tuning the Architecture, Not Just the Weights},
author={Morgado, Pedro and Vasconcelos, Nuno},
booktitle={Computer Vision and Pattern Recognition (CVPR), IEEE/CVF Conf. on},
pages={3044--3054},
year={2019}
}
[Workshop] NetTailor: Tuning the Architecture, Not Just the Weights
Southern California Machine Learning Symposium (SCMLS), 2020.
assets/publications/2019-nettailor/scmls20_ref.txt
PIEs: Pose Invariant Embeddings
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
paper suppl code data website bibtex
@InProceedings{Ho_2019_CVPR,
author = {Ho, Chih-Hui and Morgado, Pedro and Persekian, Amir and Vasconcelos, Nuno},
title = {PIEs: Pose Invariant Embeddings},
booktitle = {Computer Vision and Pattern Recognition (CVPR), IEEE/CVF Conf. on },
month = {June},
year = {2019}
}
Self-Supervised Generation of Spatial Audio for 360° Video
Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018.
paper suppl code data website video bibtex
@inproceedings{morgadoNIPS18,
title={Self-Supervised Generation of Spatial Audio for 360° Video},
author={Pedro Morgado, Nuno Vasconcelos, Timothy Langlois and Oliver Wang},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2018}
}
Semantically Consistent Regularization for Zero-Shot Recognition
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, 2017.
@inproceedings{morgadoCVPR17,
title={Semantically Consistent Regularization for Zero-Shot Recognition},
author={Pedro Morgado and Nuno Vasconcelos},
booktitle={Computer Vision and Pattern Recognition (CVPR), IEEE/CVF Conf.~on},
year={2017},
organization={IEEE}
}
Minimal Neighborhood Redundancy Maximal Relevance: Application to the Diagnosis of Alzheimer's Disease
Neurocomputing, Vol. 155, pp. 295-308, May, 2015.
@article{morgado2015minimal,
title={Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer׳ s disease},
author={Morgado, Pedro M and Silveira, Margarida and Alzheimer׳ s Disease Neuroimaging Initiative and others},
journal={Neurocomputing},
volume={155},
pages={295--308},
year={2015},
publisher={Elsevier}
}
Efficient Selection of Non-redundant Features for the Diagnosis of Alzheimer's Disease
International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, 2013.
paper bibtex Oral presentation
@inproceedings{Morgado:ISBI2013,
title={Efficient selection of non-redundant features for the diagnosis of Alzheimer's disease},
author={Morgado, Pedro M and Silveira, Margarida and Marques, Jorge S},
booktitle={IEEE 10th International Symposium on Biomedical Imaging},
year={2013}
}
Predicting Conversion from MCI to AD with FDG-PET Brain Images at Different Prodromal Stages
Computers in Biology and Medicine, Vol. 58, pp. 101-109, March, 2015
@article{cabral2015predicting,
title={Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages},
author={Cabral, Carlos and Morgado, Pedro M and Costa, Durval Campos and Silveira, Margarida and Alzheimer׳ s Disease Neuroimaging Initiative and others},
journal={Computers in biology and medicine},
volume={58},
pages={101--109},
year={2015},
publisher={Elsevier}
}
Texton-based Diagnosis of Alzheimer's Disease
IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), Southampton, UK, 2013.
@inproceedings{Morgado:MLSP13,
title={Texton-based diagnosis of Alzheimer's disease},
author={Pedro Morgado, Margarida Silveira and Durval Campos Costa},
booktitle={Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on},
year={2013},
organization={IEEE}
}
Diagnosis of Alzheimer's disease using 3D Local Binary Patterns
Computer Methods in Biomechanics and Biomedical Engineering: Imaging Visualization, Vol. 1, April, 2013
@article{morgado2013diagnosis,
title={Diagnosis of Alzheimer's disease using 3D local binary patterns},
author={Morgado, Pedro and Silveira, Margarida and Marques, Jorge S},
journal={Computer Methods in Biomechanics and Biomedical Engineering: Imaging Visualization},
volume={1},
number={1},
pages={2--12},
year={2013},
publisher={Taylor Francis}
}
Extending Local Binary Patterns to 3D for the Diagnosis of Alzheimer's Disease
International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, 2013.
@inproceedings{Morgado:ISBI2013b,
title={Extending Local Binary Patterns to 3D for the diagnosis of Alzheimer's disease},
author={Morgado, Pedro M and Silveira, Margarida and Marques, Jorge S},
booktitle={IEEE 10th International Symposium on Biomedical Imaging},
year={2013}
}
Automated Diagnosis of Alzheimer's Disease using PET Images: A study of alternative procedures for feature extraction and selection
Master Thesis, Instituto Superior Tecnico, Lisboa, Portugal.
@masterthesis{morgado_mscthesis,
author = {Pedro Morgado},
title = {Automated Diagnosis of Alzheimer's Disease using PET Images: A study of alternative procedures for feature extraction and selection},
school = {Instituto Superior Tecnico, Lisboa, Portugal},
year = 2012
}