Jing Hu

Orcid: 0000-0002-7154-2099

Affiliations:
  • Xi'an University of Technology, Shaanxi Key Laboratory for Network Computing and Security Technology, School of Computer Science and Engineering, China
  • Xidian University, State Key Laboratory of Integrated Service Network, Xi'an, China


According to our database1, Jing Hu authored at least 27 papers between 2016 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
A Gated Content-Oriented Residual Dense Network for Hyperspectral Image Super-Resolution.
Remote. Sens., July, 2023

Deep-block network for AU recognition and expression migration.
Multim. Tools Appl., July, 2023

Attention-Driven Dual Feature Guidance for Hyperspectral Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Spatial-Spectral Extraction for Hyperspectral Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

A two-stage method for single image de-raining based on attention smoothed dilated network.
IET Image Process., 2022

2021
Hyperspectral Image Superresolution via Deep Structure and Texture Interfusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Hyperspectral Image Super-Resolution under the Guidance of Deep Gradient Information.
Remote. Sens., 2021

Salient target detection in hyperspectral image based on visual attention.
IET Image Process., 2021

A pyramid non-local enhanced residual dense network for single image de-raining.
IET Image Process., 2021

Hyperspectral Anomaly Detection via Local Gradient Guidance.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Research on Defect Location Method of C Language Code Based on Deep Learning.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020
Hyperspectral Image Super-Resolution via Intrafusion Network.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep Intra Fusion for Hyperspectral Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Correction: Hu, J., et al. Hyperspectral Image Super-Resolution by Deep Spatial-Spectral Exploitation. Remote Sensing 2019, 11, 1229.
Remote. Sens., 2019

Hyperspectral Image Super-Resolution by Deep Spatial-Spectral Exploitation.
Remote. Sens., 2019

Blur Feature Extraction Plus Automatic KNN Matting: A Novel Two Stage Blur Region Detection Method for Local Motion Blurred Images.
IEEE Access, 2019

Deep Spatial-Spectral Information Exploitation for Rapid Hyperspectral Image Super-Resolution.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Trainable spectral difference learning with spatial starting for hyperspectral image denoising.
Neural Networks, 2018

Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2018

Scalable Video Coding Based on User's View for Real-Time Virtual Reality Applications.
IEEE Commun. Lett., 2018

2017
Hyperspectral Image Super-Resolution by Spectral Difference Learning and Spatial Error Correction.
IEEE Geosci. Remote. Sens. Lett., 2017

Fast mode decision and PU size decision algorithm for intra depth coding in 3D-HEVC.
J. Vis. Commun. Image Represent., 2017

Human fixation detection model in video compressed domain based on Markov random field.
J. Electronic Imaging, 2017

Hyperspectral image super-resolution using deep convolutional neural network.
Neurocomputing, 2017

A spatial constraint and deep learning based hyperspectral image super-resolution method.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Fast algorithm based on the sole- and multi-depth texture measurements for HEVC intra coding.
J. Vis. Commun. Image Represent., 2016

Fast algorithm based on sole- and multi-depth measurements for HEVC intra coding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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