Aloy, a character from Horizon Zero Dawn.

mb37410l3@mozmail.com

Publications

L. David, H. Pedrini, and Z. Dias. "Learning Weakly Supervised Semantic Segmentation Through Cross-Supervision and Contrasting of Pixel-Level Pseudo-Labels," in 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), v.3, 2025, pp. 154--165 paper code doi

L. David, H. Pedrini, and Z. Dias. "P-NOC: Adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors," in Journal of Visual Communication and Image Representation (JVCI), v.102, 2024, pp. 104187 paper arxiv code doi

L. David, L. Liborio, G. Paiva, M. Severo, E. Valle, H. Pedrini, and Z. Dias. "Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings," in 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2023, pp. 1-6 paper code doi

L. David, H. Pedrini, and Z. Dias. "MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage," in International Joint Conference on Computer Vision, Imaging and Computer Graphics, 2022, pp. 222--247 paper code doi

G. Bianchin, L. David, R. Padilha, A. P. da Silva, F. de Paula, L. Infante, L. Jorge, P. Xavier, and Z. Dias'. "Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification.," in ICAART (3), 2022, pp. 574--580 paper

L. David, H. Pedrini, and Z. Dias. "MinMax-CAM: Improving Focus of CAM-based Visualization Techniques in Multi-label Problems," in 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), v.4, 2022, pp. 106--117 paper doi

L. David, H. Pedrini, Z. Dias, and A. Rocha'. "Connoisseur: provenance analysis in paintings," in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1--8 paper code doi

L. David, H. Pedrini, Z. Dias, A. Rocha. "Authentication of Vincent van Gogh's work," in International Conference on Computer Analysis of Images and Patterns (CAIP), 2021, pp. 371--380 paper doi

L. David. "A Study of the ISOMAP Algorithm and Its Applications in Machine Learning," in UFSCar, Universidade Federal de São Carlos, 2015 paper code