Estanislau Lima

Orcid: 0000-0002-8373-5357

According to our database1, Estanislau Lima authored at least 16 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
A robust handwritten recognition system for learning on different data restriction scenarios.
Pattern Recognit. Lett., 2022

2021
How Far Deep Learning Systems for Text Detection and Recognition in Natural Scenes are Affected by Occlusion?
Proceedings of the Document Analysis and Recognition, 2021

2020
HU-PageScan: a fully convolutional neural network for document page crop.
IET Image Process., 2020

HDSR-Flor: A Robust End-to-End System to Solve the Handwritten Digit String Recognition Problem in Real Complex Scenarios.
IEEE Access, 2020

Counting Vehicle with High-Precision in Brazilian Roads Using YOLOv3 and Deep SORT.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

HTR-Flor++: A Handwritten Text Recognition System Based on a Pipeline of Optical and Language Models.
Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

2019
A Multiscale Deep Framework for Ocean Fronts Detection and Fine-Grained Location.
IEEE Geosci. Remote. Sens. Lett., 2019

Deep pixel-to-pixel network for underwater image enhancement and restoration.
IET Image Process., 2019

Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Lightweight and efficient octave convolutional neural network for fire recognition.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

OctShuffleMLT: A Compact Octave Based Neural Network for End-to-End Multilingual Text Detection and Recognition.
Proceedings of the 8th International Workshop on Camera-Based Document Analysis and Recognition, 2019

2018
A CFCC-LSTM Model for Sea Surface Temperature Prediction.
IEEE Geosci. Remote. Sens. Lett., 2018

2017
Learning and Transferring Convolutional Neural Network Knowledge to Ocean Front Recognition.
IEEE Geosci. Remote. Sens. Lett., 2017


  Loading...