Rui Wang

Orcid: 0000-0002-4813-8514

Affiliations:
  • Beihang University, Institute of Instrument Science and Optoelectronic Engineering, Beijing, China (PhD 2006)


According to our database1, Rui Wang authored at least 13 papers between 2015 and 2021.

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

2021
Application of Lightweight Railway Transit Object Detector.
IEEE Trans. Ind. Electron., 2021

SFA-MDEN: Semantic-Feature-Aided Monocular Depth Estimation Network Using Dual Branches.
Sensors, 2021

2019
Cascading classifier with discriminative multi-features for a specific 3D object real-time detection.
Vis. Comput., 2019

Object instance detection with pruned Alexnet and extended training data.
Signal Process. Image Commun., 2019

Automatic blur type classification via ensemble SVM.
Signal Process. Image Commun., 2019

Blur image identification with ensemble convolution neural networks.
Signal Process., 2019

Facilitating PTZ Camera Auto-Calibration to Be Noise Resilient With Two Images.
IEEE Access, 2019

AGR-FCN: Adversarial Generated Region based on Fully Convolutional Networks for Single- and Multiple-Instance Object Detection.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

A Parallel Binocular System for 3D Pose Measurement by a Single PTZ Camera.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

2018
Surprisingly Easy Network Compression and Data Extension for Object Instance Detection.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

2016
Robust tracking via monocular active vision for an intelligent teaching system.
Vis. Comput., 2016

Haze removal based on multiple scattering model with superpixel algorithm.
Signal Process., 2016

2015
Improving scale invariant feature transform-based descriptors with shape-color alliance robust feature.
J. Electronic Imaging, 2015


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