Jun Yu
Orcid: 0000-0002-3159-0627Affiliations:
- Kochi University of Technology, Kami, Japan
According to our database1,
Jun Yu
authored at least 14 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Signal Process. Lett., 2024
Correlation Image Sensor-Assisted Single-Frame Optical Flow Estimation in Motion-Blurred Scenes.
IEEE Access, 2024
2023
Wide-Angular Tolerance Optical Filter Design and Its Application to Green Pepper Segmentation.
Sensors, March, 2023
2022
Optimization of optical thin film to improve angular tolerance for automatic design by deep neural networks.
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022
2021
Color-Ratio Maps Enhanced Optical Filter Design and Its Application in Green Pepper Segmentation.
Sensors, 2021
Comput. Electron. Agric., 2021
Optical Filter Net: A Spectral-Aware RGB Camera Framework for Effective Green Pepper Segmentation.
IEEE Access, 2021
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
2020
Optical Flow Estimation using a Correlation Image Sensor based on FlowNet-based Neural Network.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
2019
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019
Design of an Optical Filter to Improve Green Pepper Segmentation Using a Deep Neural Network.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
2018
Automatic Prostate Segmentation on MR Images Using Enhanced Holistically-Nested Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Micro-expression Analysis by Fusing Deep Convolutional Neural Network and Optical Flow.
Proceedings of the 5th International Conference on Control, 2018
Proceedings of the 5th International Conference on Control, 2018