Samsung R&D Institute, Brazil (SRBR)
AI R&D Lab
Av. Cambacicas, 1200
Campinas, 13097-104, SP - Brazil
PhD student in Computer Science - Current
Federal University of Minas Gerais, Brazil
MSc. in Computer Engineering - 2018
Federal University of Technology - Parana, Brazil
Thesis: "An Efficient Strategy for Estimation of Visually Salient
Regions in Images"
B. E. in Computer Engineering - 2016
Federal University of Technology - Parana, Brazil
Senior thesis: "A Platform for Development of Analytical Telerobotics"
Co-authored with: Leandro S. Forneck and Rafael B. L. dos Santos
Samsung R&D Institute, Brazil
2022 — current
Senior Researcher. Research and development of AI solutions for health applications.
Federal University of Minas Gerais, Brazil
2021 — 2022
Research assistant. Data analysis of geophysical data for stratigraphic modeling, under a project for the Brazilian Petroleum Corporation — Petrobras.
2019 — 2021
Research assistant. Research and development in visual pattern recognition, focused on biometrics for surveillance, under a project for the Brazilian Petroleum Corporation — Petrobras.
2018 — 2019
Research assistant. Research and development in visual pattern recognition focused on video analytics for vehicle cabin monitoring, under a project for Maxtrack.
2018 — current
PhD student. Research and development in visual pattern recognition and biometrics.
Federal University of Technology - Parana, Brazil
2016 — 2018
Master's candidate. Development of efficient visual attention algorithms, under a fellowship from the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES).
2014 — 2016
Undergraduate research assistant. Development of efficient visual attention algorithms, under a fellowship from the Araucaria Foundation.
2013 — 2014
Undergraduate research assistant. Optimization of a discrete event simulation library, under a fellowship from the Brazilian National Council for Scientific and Technological Development (CNPq).
2012 — 2013
Undergraduate research assistant. Development of low-cost biomedical embedded devices.
Journal reviewer
Springer Multimedia Systems— 2023, current
PLOS One — 2023, current
IET Computer Vision — 2023, current
IEEE Sensors — 2023, current
IEEE Transactions on Neural Networks and Learning Systems — 2022, current
IEEE Transactions on Image Processing — 2021, current
IEEE Transactions on Information Forensics and Security — 2019, current
Springer The Visual Computer — 2019, current
Conference reviewer
Brazilian Conference on Intelligent Systems (BRACIS) — 2023
IAPR International Conference on Pattern Recognition (ICPR) — 2022
IEEE International Conference on Automatic Face and Gesture Recognition (FG) — 2021
IEEE Winter Conference on Applications in Computer Vision (WACV) — 2020, 2021, 2022, 2023
Journal papers
Discriminative Layer Pruning for Convolutional Neural Networks — Jordao, A; Lie, M.; Schwartz, W. R. In: IEEE Journal of Selected Topics in Signal Processing, 2020
Joint Upsampling of Random Color Distance Maps for Fast Salient Region Detection — Lie, M.M.I.; Borba, G. B.; Vieira Neto, H.; Gamba, H. R. In: Pattern Recognition Letters, 2017
A Method for Generating 3D Thermal Models with Decoupled Acquisition — Krefer, A.G.; Lie, M.M.I.; Borba, G. B.; Gamba, H. R.; Abreu de Souza, M. In: Computer Methods and Programs in Biomedicine, 2017
Conference proceedings papers
Covariance-Free Partial Least Squares: An Incremental Dimensionality Reduction Method — Jordao, A.; Lie, M.; de Melo, V. H. C.; Schwartz, W. R. In: Winter Conference on Applications of Computer Vision (WACV), 2021
Depth-Wise Neural Architecture Search — Jordao, A.; Yamada, F.; Lie, M.; Schwartz, W. R. In (Accepted): IAPR International Conference on Pattern Recognition (ICPR), 2020
Progressive Saliency-Oriented Object Localization Based on Interlaced Random Color Distance Maps — Lie, M.M.I.; Vieira Neto, H.; Borba, G. B.; Gamba, H. R. In: 14th Latin American Robotics Symposium (LARS), 2017
Automatic Image Thumbnailing Based on Fast Visual Saliency Detection — Lie, M.M.I.; Vieira Neto, H.; Borba, G. B.; Gamba, H. R. In: 22nd Brazilian Symposium on Multimedia and the Web (WebMedia), 2016
Fast Saliency Detection Using Random Color Samples and Joint Upsampling — Lie, M.M.I.; Borba, G. B.; Vieira Neto, H.; Gamba, H. R. In: Conference on Patterns, Graphics and Images (SIBGRAPI), 2016
★ Honorable Mention Award ★