Luiz G. Hafemann

Orcid: 0000-0002-8311-0728

According to our database1, Luiz G. Hafemann authored at least 16 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Detecting and Matching Related Objects With One Proposal Multiple Predictions.
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

DESlib: A Dynamic ensemble selection library in Python.
J. Mach. Learn. Res., 2020

Group Activity Detection from Trajectory and Video Data in Soccer.
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

Universal Adversarial Audio Perturbations.
CoRR, 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

Offline handwritten signature verification - Literature review.
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

Analyzing features learned for Offline Signature Verification using Deep CNNs.
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
Forest Species Recognition Using Deep Convolutional Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014


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