Luiz Gustavo Hafemann
Luiz Gustavo Hafemann
Computer Vision Researcher, Sportlogiq
E-mail confirmado em sportlogiq.com - Página inicial
TítuloCitado porAno
Offline handwritten signature verification—Literature review
LG Hafemann, R Sabourin, LS Oliveira
2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017
952017
Learning features for offline handwritten signature verification using deep convolutional neural networks
LG Hafemann, R Sabourin, LS Oliveira
Pattern Recognition 70, 163-176, 2017
912017
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
732016
Forest species recognition using deep convolutional neural networks
LG Hafemann, LS Oliveira, P Cavalin
2014 22nd International Conference on Pattern Recognition, 1103-1107, 2014
582014
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
312016
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
222015
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
172018
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 (3 …, 2018
172018
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
142020
An analysis of deep neural networks for texture classification
LG Hafemann
Federal University Of Paraná, 2014
112014
DESlib: A dynamic ensemble selection library in python
RMO Cruz, LG Hafemann, R Sabourin, GDC Cavalcanti
arXiv preprint arXiv:1802.04967, 2018
82018
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
72019
Universal adversarial audio perturbations
S Abdoli, LG Hafemann, J Rony, IB Ayed, P Cardinal, AL Koerich
arXiv preprint arXiv:1908.03173, 2019
42019
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, 2019
2019
Learning features for offline handwritten signature verification
LG Hafemann
École de technologie supérieure, 2019
2019
Maximizing the Minimum Achievable Secrecy Rate for a Two-User Gaussian Weak Interference Channel............
M Kaminaga, T Suzuki, M Fukase, R Richter, C Gottschlich, L Mentch, ...
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–16