Erickson R. Nascimento
Erickson R. Nascimento
Associate Professor of Computer Science, Universidade Federal de Minas Gerais
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Cited by
Cited by
Transmission Estimation in Underwater Single Images
P Drews-Jr, E do Nascimento, F Moraes, S Botelho, M Campos
International Conference on Computer Vision (ICCVW) - Workshop on Underwater …, 2013
Underwater Depth Estimation and Image Restoration Based on Single Images
P Drews-Jr, ER Nascimento, S Botelho, M Campos
IEEE Computer Graphics and Applications 36, 24-35, 2016
Stop: Space-time occupancy patterns for 3d action recognition from depth map sequences
AW Vieira, ER Nascimento, GL Oliveira, Z Liu, MFM Campos
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012
On the improvement of human action recognition from depth map sequences using space–time occupancy patterns
AW Vieira, ER Nascimento, GL Oliveira, Z Liu, MFM Campos
Pattern Recognition Letters 36, 221-227, 2014
BRAND: A Robust Appearance and Depth Descriptor for RGB-D Images
IEEE Intl. Proc. on Intelligent Robots and Systems (IROS), 2012
Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio
JP Ferreira, TM Coutinho, TL Gomes, JF Neto, R Azevedo, R Martins, ...
Computers & Graphics 94, 11-21, 2021
Sparse Spatial Coding: A Novel Approach for Efficient and Accurate Object Recognition
GL Oliveira, ER Nascimento, AW Vieira, MFM Campos
IEEE International Conference on Robotics and Automation (ICRA), 2012
Fully convolutional siamese autoencoder for change detection in UAV aerial images
DB Mesquita, RF dos Santos, DG Macharet, MFM Campos, ...
IEEE Geoscience and Remote Sensing Letters 17 (8), 1455-1459, 2019
Stereo Based Structure Recovery of Underwater Scenes from Automatically Restored Images
E Nascimento, M Campos, W Barros
Computer Graphics and Image Processing (SIBGRAPI), 2009 XXII Brazilian …, 2009
Towards semi-autonomous robotic inspection and mapping in confined spaces with the EspeleoRobô
H Azpúrua, A Rezende, G Potje, GPC Júnior, R Fernandes, V Miranda, ...
Journal of Intelligent & Robotic Systems 101, 1-27, 2021
Visual-quality-driven learning for underwater vision enhancement
WV Barbosa, HGB Amaral, TL Rocha, ER Nascimento
2018 25th IEEE international conference on image processing (ICIP), 3933-3937, 2018
Automatically choosing source color images for coloring grayscale images
LFM Vieira, RD Vilela, ERD Nascimento, FA Fernandes, RL Carceroni, ...
16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI …, 2003
Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning
JFBS Martins, ER Nascimento, BR Nascimento, CA Sable, AZ Beaton, ...
Journal of the American Medical Informatics Association 28 (9), 1834-1842, 2021
On the development of a robust, fast and lightweight keypoint descriptor
ER do Nascimento, GL Oliveira, AW Vieira, MFM Campos
Neurocomputing 120, 141-155, 2013
Fully automatic coloring of grayscale images
LFM Vieira, ER Nascimento, FA Fernandes, RL Carceroni, RD Vilela, ...
Image and vision computing 25 (1), 50-60, 2007
Towards Semantic Fast-Forward and Stabilized Egocentric Videos
MM Silva, WLS Ramos, JPK Ferreira, MFM Campos, ER Nascimento
European Conference on Computer Vision Workshop, 557-571, 2016
Automatic Restoration of Underwater Monocular Sequences of Images
P Drews-Jr, ER Nascimento, MFM Campos, A Elfes
IEEE International Conference on Intelligent Robots and Systems (IROS), 2015
A weighted sparse sampling and smoothing frame transition approach for semantic fast-forward first-person videos
M Silva, W Ramos, J Ferreira, F Chamone, M Campos, ER Nascimento
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Sign Language Recognition using Partial Least Squares and RGB-D Information
BNS Estrela, G Cámara-Chávez, MFM Campos, WR Schwartz, ...
Workshop em Visão Computacional (WVC), 2013
A Robust Indoor Scene Recognition Method Based on Sparse Representation
G Nascimento, C Laranjeira, V Braz, A Lacerda, ER Nascimento
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2017
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