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
Robust Audio-Visual Instance Discrimination
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
paper video bibtex Oral presentation
NetTailor: Tuning the Architecture, Not Just the Weights
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
[Workshop] NetTailor: Tuning the Architecture, Not Just the Weights
Southern California Machine Learning Symposium (SCMLS), 2020.
Minimal Neighborhood Redundancy Maximal Relevance: Application to the Diagnosis of Alzheimer's Disease
Neurocomputing, Vol. 155, pp. 295-308, May, 2015.
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
Diagnosis of Alzheimer's disease using 3D Local Binary Patterns
Computer Methods in Biomechanics and Biomedical Engineering: Imaging Visualization, Vol. 1, April, 2013
Extending Local Binary Patterns to 3D for the Diagnosis of Alzheimer's Disease
International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, 2013.
Vitae
Education
University of California, San Diego
Ph.D., Electrical and Computer Engineering
Instituto Superior Técnico, Lisbon, Portugal
M.Sc., Electrical and Computer Engineering
Instituto Superior Técnico, Lisbon, Portugal
B.Sc., Electrical and Computer Engineering
Research Experience
Carnegie Mellon University, Pittsburgh
Postdoctoral Fellow
University of California, San Diego
Graduate Student Resercher
Facebook AI Research (FAIR), New York
Research Intern
Adobe, Seattle
Research Scientist Intern
University of California, San Diego
Teaching Assistant, Digital Signal Processing II
Institute for Systems and Robotics, Lisbon, Portugal
Graduate Reserch Assistent
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
University of California, San Diego
Graduate Fellowship