Luiz G. Hafemann
Orcid: 0000-0002-8311-0728
According to our database1,
Luiz G. Hafemann
authored at least 16 papers
between 2014 and 2024.
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Bibliography
2024
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Meta-Learning for Fast Classifier Adaptation to New Users of Signature Verification Systems.
IEEE Trans. Inf. Forensics Secur., 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification.
IEEE Trans. Inf. Forensics Secur., 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Fixed-sized representation learning from offline handwritten signatures of different sizes.
Int. J. Document Anal. Recognit., 2018
2017
Learning features for offline handwritten signature verification using deep convolutional neural networks.
Pattern Recognit., 2017
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
2016
Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Transfer learning between texture classification tasks using Convolutional Neural Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014