Joao P C Bertoldo

Identifiants chercheurs

IdHAL :

joaobertoldo

ORCID :

0000-0002-9512-772X

arXiv :

cbertoldo_j_1

Publications

Article dans une revue (2)

In situ synchrotron X-ray multimodal experiment to study polycrystal plasticity Clement Ribart,Andrew King,Wolfgang Ludwig,Joao P C Bertoldo,Henry Proudhon Journal of Synchrotron Radiation, 2023, 30, pp.379 - 389. ⟨10.1107/S1600577522011705⟩ Article dans une revue hal-04305405v1
A modular U-Net for automated segmentation of X-ray tomography images in composite materials João P C Bertoldo,Etienne Decencière,David Ryckelynck,Henry Proudhon Frontiers in Materials, 2021, 8, pp.761229. ⟨10.21203/rs.3.rs-721240/v1⟩ Article dans une revue hal-03380106v2

Communication dans un congrès (4)

AUPIMO: Redefining Anomaly Localization Benchmarks with High Speed and Low Tolerance Joao P C Bertoldo,Dick Ameln,Ashwini Vaidya,Samet Akçay British Machine Vision Conference, 2024, Glasgow, United Kingdom Communication dans un congrès hal-04842570v1
Heuristic Hyperparameter Choice for Image Anomaly Detection Zeyu Jiang,Joao P C Bertoldo,Etienne Decencière 2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA), Oct 2023, Paris, France. pp.1-5, ⟨10.1109/IPTA59101.2023.10320035⟩ Communication dans un congrès hal-04319319v1
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection Tetiana Gula,Joao P C Bertoldo IEEE/CVF International Conference on Computer Vision, Oct 2023, Paris, France Communication dans un congrès hal-04319501v1
Visualization for Multivariate Gaussian Anomaly Detection in Images João P C Bertoldo,David Arrustico 2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA), Oct 2023, Paris, France. ⟨10.1109/IPTA59101.2023.10320060⟩ Communication dans un congrès hal-04319304v1

Pré-publication, Document de travail (3)

AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance Joao P C Bertoldo,Dick Ameln,Ashwin Vaidya,Samet Akçay 2024 Pré-publication, Document de travail hal-04403770v1
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation Joao P C Bertoldo,Santiago Velasco-Forero,Jesus Angulo,Etienne Decencière 2023 Pré-publication, Document de travail hal-04319313v1
[Reproducibility Report] Explainable Deep One-Class Classification Joao P C Bertoldo,Etienne Decencière 2023 Pré-publication, Document de travail hal-04319312v1