Rayson Laroca is a PhD candidate at the Federal University of Paraná (UFPR), where he also received his master's degree in Computer Science. He received his bachelor's degree in Software Engineering (2016) from the State University of Ponta Grossa (UEPG) with an exchange at the University of Coimbra (UC).

Areas of interest: Computer Vision, Machine Learning, and Pattern Recognition.

Google Scholar – Research Gate – LinkedIn – ORCID – Lattes CV (in Portuguese)

E-mail: rblsantos@inf.ufpr.br

2021-2024

  1. V. Estevam, R. Laroca, H. Pedrini, D. Menotti, "Tell Me What You See: A Zero-Shot Action Recognition Method Based on Natural Language Descriptions," Multimedia Tools and Applications, vol. 83, no. 9, pp. 28147-28173, 2024.
  2. ★ R. Laroca, L. A. Zanlorensi, V. Estevam, R. Minetto, D. Menotti, "Leveraging Model Fusion for Improved License Plate Recognition," in Iberoamerican Congress on Pattern Recognition (CIARP), pp. 60-75, Nov 2023.
  3. V. Nascimento, R. Laroca, J. A. Lambert, W. R. Schwartz, D. Menotti, "Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution Layers," Computers & Graphics, vol. 113, pp. 69-76, 2023.
  4. ★ R. Laroca, V. Estevam, A. S. Britto Jr., R. Minetto, D. Menotti, "Do We Train on Test Data? The Impact of Near-Duplicates on License Plate Recognition," in International Joint Conference on Neural Networks (IJCNN), pp. 1-8, June 2023.
  5. B. A. Krinski, D. V. Ruiz, R. Laroca, E. Todt, "DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem," Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 11, no. 5, pp. 1724-1741, 2023.
  6. L. A. Zanlorensi, R. Laroca, D. R. Lucio, L. R. Santos, A. S. Britto Jr., D. Menotti, "A New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios," Scientific Reports, vol. 12, p. 17989, 2022.
  7. ★ R. Laroca, M. Santos, V. Estevam, E. Luz, D. Menotti, "A First Look at Dataset Bias in License Plate Recognition," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 234-239, Oct 2022.
  8. M. Santos, R. Laroca, R. O. Ribeiro, J. Neves, H. Proença, D. Menotti, "Face Super-Resolution Using Stochastic Differential Equations," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 216-221, Oct 2022.
  9. V. Nascimento, R. Laroca, J. A. Lambert, W. R. Schwartz, D. Menotti, "Combining Attention Module and Pixel Shuffle for License Plate Super-Resolution," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 228-233, Oct 2022.
  10. G. Salomon, R. Laroca, D. Menotti, "Image-Based Automatic Dial Meter Reading in Unconstrained Scenarios," Measurement, vol. 204, p. 112025, 2022.
  11. V. Estevam, R. Laroca, H. Pedrini, D. Menotti, "Global Semantic Descriptors for Zero-Shot Action Recognition," IEEE Signal Processing Letters, vol. 29, pp. 1843-1847, 2022.
  12. ★ R. Laroca, E. V. Cardoso, D. R. Lucio, V. Estevam, D. Menotti, "On the Cross-Dataset Generalization in License Plate Recognition," in International Conference on Computer Vision Theory and Applications (VISAPP), pp. 166-178, Feb 2022.
  13. L. A. Zanlorensi, R. Laroca, E. Luz, A. S. Britto Jr., L. S. Oliveira, D. Menotti, "Ocular Recognition Databases and Competitions: A Survey," Artificial Intelligence Review, vol. 55, pp. 129-180, 2022.
  14. V. Estevam, R. Laroca, H. Pedrini, D. Menotti, "Dense Video Captioning Using Unsupervised Semantic Information," arXiv preprint, arXiv:2112.08455, pp. 1-12, 2021.
  15. I. O. de Oliveira, R. Laroca, D. Menotti, K. V. O. Fonseca, R. Minetto, "Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks," IEEE Access, vol. 9, pp. 101065-101077, 2021.
  16. ★ R. Laroca, A. B. Araujo, L. A. Zanlorensi, E. C. de Almeida, D. Menotti, "Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach," IEEE Access, vol. 9, pp. 67569-67584, 2021.
  17. ★ R. Laroca, L. A. Zanlorensi, G. R. Gonçalves, E. Todt, W. R. Schwartz, D. Menotti, "An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO Detector," IET Intelligent Transport Systems, vol. 15, no. 4, pp. 483-503, 2021.

2018-2021

  1. ★ R. Laroca, A. C. Boslooper, D. Menotti, "Visual Analytics Keep Track of Freight Wagons," Railway Gazette International, vol. 176, no. 10, pp. 38-39, 2020.
  2. G. Salomon, R. Laroca, D. Menotti, "Deep Learning for Image-Based Automatic Dial Meter Reading: Dataset and Baselines," in International Joint Conference on Neural Networks (IJCNN), pp. 1-8, July 2020.
  3. G. R. Gonçalves, M. A. Diniz, R. Laroca, D. Menotti, W. R. Schwartz, "Multi-Task Learning for Low-Resolution License Plate Recognition," in Iberoamerican Congress on Pattern Recognition (CIARP), pp. 251-261, Oct 2019.
  4. D. R. Lucio, R. Laroca, L. A. Zanlorensi, G. Moreira, D. Menotti, "Simultaneous Iris and Periocular Region Detection Using Coarse Annotations," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 178-185, Oct 2019.
  5. ★ R. Laroca, "An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO Detector," Master’s thesis, Federal University of Paraná, Brazil, 2019.
  6. ★ R. Laroca, V. Barroso, M. A. Diniz, G. R. Gonçalves, W. R. Schwartz, D. Menotti, "Convolutional Neural Networks for Automatic Meter Reading," Journal of Electronic Imaging, vol. 28, no. 1, p. 013023, 2019.
  7. G. R. Gonçalves, M. A. Diniz, R. Laroca, D. Menotti, W. R. Schwartz, "Real-Time Automatic License Plate Recognition Through Deep Multi-Task Networks," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 110-117, Oct 2018.
  8. L. A. Zanlorensi, E. Luz, R. Laroca, A. S. Britto Jr., L. S. Oliveira, D. Menotti, "The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 289-296, Oct 2018.
  9. C. S. Bezerra, R. Laroca, D. R. Lucio, E. Severo, L. F. Oliveira, A. S. Britto Jr., D. Menotti, "Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 281-288, Oct 2018.
  10. D. R. Lucio, R. Laroca, E. Severo, A. S. Britto Jr., D. Menotti, "Fully Convolutional Networks and Generative Adversarial Networks Applied to Sclera Segmentation," in IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS), pp. 1-7, Oct 2018.
  11. E. Severo, R. Laroca, C. S. Bezerra, L. A. Zanlorensi, D. Weingaertner, G. Moreira, D. Menotti, "A Benchmark for Iris Location and a Deep Learning Detector Evaluation," in International Joint Conference on Neural Networks (IJCNN), pp. 1-7, July 2018.
  12. ★ R. Laroca, E. Severo, L. A. Zanlorensi, L. S. Oliveira, G. R. Gonçalves, W. R. Schwartz, D. Menotti, "A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector," in International Joint Conference on Neural Networks (IJCNN), pp. 1-10, July 2018.