Ana Paula G. S. de Almeida
Ana Paula G. S. de Almeida
Verified email at aluno.unb.br
Title
Cited by
Cited by
Year
Document classification using a Bi-LSTM to unclog Brazil's supreme court
FA Braz, NC da Silva, TE de Campos, FBS Chaves, MHS Ferreira, ...
arXiv preprint arXiv:1811.11569, 2018
162018
Plant Diseases Recognition from Digital Images using Multichannel Convolutional Neural Networks
A Abade, A S. de Almeida, FB Vidal
14th International Joint Conference on Computer Vision, Imaging and Computer …, 2019
10*2019
A parallel hierarchical finite state machine approach to UAV control for search and rescue tasks
V de Araujo, APGS Almeida, CT Miranda, F de Barros Vidal
2014 11th International Conference on Informatics in Control, Automation and …, 2014
82014
L-CNN: a lattice cross-fusion strategy for multistream convolutional neural networks
APGS de Almeida, F de Barros Vidal
Electronics Letters 55 (22), 1180-1182, 2019
42019
Human action recognition in videos: a comparative evaluation of the classical and velocity adaptation space-time interest points techniques
APGS de Almeida, BLM Espinoza, F Barros Vidal
Václav Skala-UNION Agency, 2017
12017
Autonomous Vehicle Steering Wheel Estimation from a Video using Multichannel Convolutional Neural Networks
AET Ferreira, APGS de Almeida, F de Barros Vidal
ICINCO (2), 527-534, 2018
2018
Reconhecimento de ações em vídeo utilizando descritores de pontos de interesse espaço-temporais (STIPS)
APGS Almeida
2017
Automatic emotion classification: An approach using Eulerian Video Magnification and Artificial Neural Networks
VQSH Ramos, APGS Almeida, CMCCE Koike, DM Viana, FB Vidal
XXI Congresso Brasileiro de Automática, 1-6, 2016
2016
Crowd Event Detection in Surveillance Video
APGS de Almeida, V de Azevedo Faria, F de Barros Vidal
2015
Classificação não-supervisionada de eventos em imagens de videomonitoramento baseada em altas frequências do fluxo ótico diferencial
APGS Almeida, FB Vidal
XXVIII Conference on Graphics, Patterns and Images (SIBGRAPI) 1, 1-6, 2015
2015
Projeto de um descritor para detecção de eventos em câmeras de videomonitoramento: uma abordagem baseada na análise das características de altas frequências do fluxo ótico
APGS Almeida
2014
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Articles 1–11