Rytis Augustauskas

Orcid: 0000-0001-8672-3872

According to our database1, Rytis Augustauskas authored at least 10 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
YOLO-based Detection of Drilled Blind Holes in Laminated Panels with Template Similarity Assessment.
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

Defects Localization in Images Using Deep Learning-Based Classification with CAM Output.
Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

2022
Deep-Learning-Based Estimation of the Spatial QRS-T Angle from Reduced-Lead ECGs.
Sensors, 2022

2021
Segmentation of Drilled Holes in Texture Wooden Furniture Panels Using Deep Neural Network.
Sensors, 2021

Development of Sound Identification System for Domestic Actions Recognition.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Pixel-level Road Pavement Defects Segmentation Based on Various Loss Functions.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

2020
Improved Pixel-Level Pavement-Defect Segmentation Using a Deep Autoencoder.
Sensors, 2020

2019
Aggregation of Pixel-Wise U-Net Deep Neural Networks for Road Pavement Defects Detection.
Proceedings of the Soft Computing for Problem Solving 2019, 2019

Pixel-wise Road Pavement Defects Detection Using U-Net Deep Neural Network.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

2017
Robust hand detection using arm segmentation from depth data and static palm gesture recognition.
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017


  Loading...