Artur Jordão, George Araújo, Helena de Almeida Maia and Hélio Pedrini: When Layers Play the Lottery, all Tickets Win at Initialization. In: International Conference on Computer Vision (ICCV), 2023, Paris, France.
I’m a Professor at the University of São Paulo (USP), Department of Computer and Digital Systems Engineering (PCS). During 2021-2023, I was a Post-Doctoral researcher at the Institute of Computing, University of Campinas (UNICAMP). I received my PhD degree in Computer Science from the Federal University of Minas Gerais (UFMG) in 2020. I have served as a reviewer for journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Emerging Topics in Computing and Springer Knowledge-Based Systems.
My research interests include machine learning and pattern recognition for computer vision applications.
I received my Ph.d degree in Computer Science from Universidade Federal de Minas Gerais in 2020.
Ph.D Dissertation:
Partial Least Squares: A Deep Space Odyssey
.
Advisor: William Robson Schwartz.
I received my master degree in Computer Science from Universidade Federal de Minas Gerais in 2016.
Master’s Thesis:
The Good, the Fast and the Better pedestrian detector
.
Advisor: William Robson Schwartz.
I received my bachelor degree in Computer Science from Faculdade de Informática de Presidente Prudente (FIPP) in 2014.
Bachelor's Thesis:
UCP Simulator with Cache Memory and Pipeline.
Advisor: Mário Augusto Pazoti.
I published scientific papers focusing on computer vision in important journals and conferences, such as Neurocomputing, Journal of Selected Topics In Signal Processing, WACV, ICPR, IJCNN, FG.
Artur Jordão, George Araújo, Helena de Almeida Maia and Hélio Pedrini: When Layers Play the Lottery, all Tickets Win at Initialization. In: International Conference on Computer Vision (ICCV), 2023, Paris, France.
Artur Jordão and Hélio Pedrini: On the Effect of Pruning on Adversarial Robustness. In: International Conference on Computer Vision (ICCV), 2021, Virtual.
Artur Jordão, Maiko Lie, Victor Hugo Cunha de Melo, William Robson Schwartz: Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method. In: Winter Conference on Applications of Computer Vision (WACV), 2021, Waikoloa, Hawaii.
Jessica Sena, Artur Jordao, William Robson Schwartz: A Content-Based Late Fusion Approach Applied to Pedestrian Detection. In: Journal of Visual Communication and Image Representation, 2021.
Artur Jordão, Maiko Lie, Fernando Yamada, William Robson Schwartz: DepthWise Neural Architecture Search. In: IAPR International Conference on Pattern Recognition (ICPR), 2020, Milan, Italy.
Artur Jordão, Fernando Yamada, William Robson Schwartz: Deep Network Compression based on Partial Least Squares. In: Neurocomputing, 2020.
Artur Jordão, Maiko Lie, William Robson Schwartz: Discriminative Layer Pruning for Convolutional Neural Networks. In: IEEE Journal of Selected Topics In Signal Processing, 2020.
Artur Jordão, Ricardo Barbosa Kloss, Fernando Yamada, William Robson Schwartz: Pruning Deep Neural Networks using Partial Least Squares. In: British Machine Vision Conference (BMVC) Workshops: Embedded AI for Real-Time Machine Vision, 2019, Cardiff, Wales.
Ricardo Barbosa Kloss, Artur Jordao, William Robson Schwartz: Face Verification Strategies for Employing Deep Models. In: 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2018, Xi'an, China.
Artur Jordão, Ricardo Barbosa Kloss, William Robson Schwartz: Latent HyperNet Exploring the Layers. In: International Joint Conference on Neural Networks (IJCNN), 2018, Rio de Janeiro, Brazil.
Artur Jordão, Leonardo Antônio Borges Torres, William Robson Schwartz: Novel Approaches to Human Activity Recognition based on Accelerometer Data. In: Signal, Image and Video Processing, 2018.
Ricardo Barbosa Kloss, Artur Jordão, William Robson Schwartz: Boosted Projection An Ensemble of Transformation Models. In: 22nd Iberoamerican Congress on Pattern Recognition (CIARP), 2017, Valparaíso, Chile.
Artur Jordao, William Robson Schwartz: Oblique Random Forest based on Partial Least Squares Applied to Pedestrian Detection. In: IEEE International Conference on Image Processing (ICIP), 2016, Phoenix, USA.
Artur Jordao, Jessica Sena de Souza, William Robson Schwartz: A Late Fusion Approach to Combine Multiple Pedestrian Detectors. In: IAPR International Conference on Pattern Recognition (ICPR), 2016, Cancun, México.
Artur Jordao, William Robson Schwartz: The Good, The Fast and the Better Pedestrian Detector. In: XXIX Conference on Graphics, Patterns and Images (SIBGRAPI), 2016, São José dos Campos, Brazil.
Here are some software (in python) for machine learning and pattern recognition that I have developed.
arturjordao[@]dcc.ufmg.br