Seguir
Luiz Gustavo Hafemann
Luiz Gustavo Hafemann
Ubisoft La Forge
E-mail confirmado em ubisoft.com - Página inicial
Título
Citado por
Citado por
Ano
Learning features for offline handwritten signature verification using deep convolutional neural networks
LG Hafemann, R Sabourin, LS Oliveira
Pattern Recognition 70, 163-176, 2017
3772017
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
J Rony, LG Hafemann, LS Oliveira, IB Ayed, R Sabourin, E Granger
arXiv preprint arXiv:1811.09600, 2018
3312018
Offline handwritten signature verification—literature review
LG Hafemann, R Sabourin, LS Oliveira
2017 seventh international conference on image processing theory, tools and …, 2017
3112017
Writer-independent feature learning for offline signature verification using deep convolutional neural networks
LG Hafemann, R Sabourin, LS Oliveira
2016 international joint conference on neural networks (IJCNN), 2576-2583, 2016
1792016
Forest species recognition using deep convolutional neural networks
LG Hafemann, LS Oliveira, P Cavalin
2014 22Nd international conference on pattern recognition, 1103-1107, 2014
1522014
DESlib: A Dynamic ensemble selection library in Python
RMO Cruz, LG Hafemann, R Sabourin, GDC Cavalcanti
Journal of Machine Learning Research 21 (8), 1-5, 2020
1082020
Fixed-sized representation learning from offline handwritten signatures of different sizes
LG Hafemann, LS Oliveira, R Sabourin
International Journal on Document Analysis and Recognition (IJDAR) 21, 219-232, 2018
912018
Analyzing features learned for offline signature verification using deep CNNs
LG Hafemann, R Sabourin, LS Oliveira
2016 23rd international conference on pattern recognition (ICPR), 2989-2994, 2016
862016
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
622020
Universal adversarial audio perturbations
S Abdoli, LG Hafemann, J Rony, IB Ayed, P Cardinal, AL Koerich
arXiv preprint arXiv:1908.03173, 2019
542019
Characterizing and evaluating adversarial examples for offline handwritten signature verification
LG Hafemann, R Sabourin, LS Oliveira
IEEE Transactions on Information Forensics and Security 14 (8), 2153-2166, 2019
542019
Transfer learning between texture classification tasks using convolutional neural networks
LG Hafemann, LS Oliveira, PR Cavalin, R Sabourin
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
462015
Group activity detection from trajectory and video data in soccer
R Sanford, S Gorji, LG Hafemann, B Pourbabaee, M Javan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
402020
Meta-learning for fast classifier adaptation to new users of signature verification systems
LG Hafemann, R Sabourin, LS Oliveira
IEEE Transactions on Information Forensics and Security 15, 1735-1745, 2019
312019
An analysis of deep neural networks for texture classification
LG Hafemann
Federal University Of Paraná, 2014
152014
Detecting and matching related objects with one proposal multiple predictions
Y Liu, LG Hafemann, M Jamieson, M Javan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
62021
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
A Dib, LG Hafemann, E Got, T Anderson, A Fadaeinejad, RMO Cruz, ...
arXiv preprint arXiv:2312.13091, 2023
2023
A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos
Y Liu, LG Hafemann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
Learning features for offline handwritten signature verification
LG Hafemann
École de technologie supérieure, 2019
2019
Offline Handwritten Signature Verification
LG Hafemann, R Sabourin, LS Oliveira
arXiv preprint arXiv:1507.07909, 2015
2015
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20