Fei Shen

Orcid: 0000-0001-9263-4489

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China


According to our database1, Fei Shen authored at least 12 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation.
IEEE Trans. Instrum. Meas., 2023

The Second-place Solution for CVPR VISION 23 Challenge Track 1 - Data Effificient Defect Detection.
CoRR, 2023

Diversified and Multi-Class Controllable Industrial Defect Synthesis for Data Augmentation and Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Automatic Defect Inspection based on Image Matching and Local One-class Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Flexible 3D Object Appearance Observation Based on Pose Regression and Active Motion.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
A Novel Pixel-Wise Defect Inspection Method Based on Stable Background Reconstruction.
IEEE Trans. Instrum. Meas., 2021

Automated Pose Measurement Method Based on Multivision and Sensor Collaboration for Slice Microdevice.
IEEE Trans. Ind. Electron., 2021

CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection.
Pattern Recognit., 2021

2018
Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement.
IEEE Trans. Syst. Man Cybern. Syst., 2018

An Overview of Contour Detection Approaches.
Int. J. Autom. Comput., 2018

2017
Nanoliter Fluid Dispensing Based on Microscopic Vision and Laser Range Sensor.
IEEE Trans. Ind. Electron., 2017

2016
Calibration with ball objects for telecentric micro-vision system.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016


  Loading...