Dexiang Deng

According to our database¹, Dexiang Deng authored at least 24 papers between 2012 and 2021.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2021

Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images.

[BibT_eX]

[DOI]

Liqiong Chen

Wenxuan Shi

Dexiang Deng

Remote. Sens., 2021

Real-time implementation of fabric defect detection based on variational automatic encoder with structure similarity.

[BibT_eX]

[DOI]

J. Real Time Image Process., 2021

2020

Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network.

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[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

A Novel Coarse-to-Fine Method of Ship Detection in Optical Remote Sensing Images Based on a Deep Residual Dense Network.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Fingerprint image quality assessment based on BP neural network with hierarchical clustering.

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[DOI]

IET Inf. Secur., 2020

2019

Image reconstruction for color contact image sensor (CIS).

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[DOI]

Signal Image Video Process., 2019

On Connectivity and Energy Efficiency for Sleeping-Schedule-Based Wireless Sensor Networks.

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[DOI]

Sensors, 2019

No-reference quality assessment for contrast-altered images using an end-to-end deep framework.

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[DOI]

J. Electronic Imaging, 2019

Research of D2D Communications Mode for 5G Vehicular Networks.

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[DOI]

Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

2018

Face age classification based on a deep hybrid model.

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[DOI]

Signal Image Video Process., 2018

2017

Cell-Less Communications in 5G Vehicular Networks Based on Vehicle-Installed Access Points.

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[DOI]

IEEE Wirel. Commun., 2017

No-reference image quality assessment based on hybrid model.

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[DOI]

Signal Image Video Process., 2017

Erratum to: Refining deep convolutional features for improving fine-grained image recognition.

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[DOI]

EURASIP J. Image Video Process., 2017

Refining deep convolutional features for improving fine-grained image recognition.

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[DOI]

EURASIP J. Image Video Process., 2017

2016

No-reference image quality assessment using Prewitt magnitude based on convolutional neural networks.

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[DOI]

Signal Image Video Process., 2016

Segmentation by weighted aggregation and perceptual hash for pedestrian detection.

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[DOI]

J. Vis. Commun. Image Represent., 2016

Group-based single image super-resolution with online dictionary learning.

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[DOI]

EURASIP J. Adv. Signal Process., 2016

2015

Visual object tracking via online sparse instance learning.

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[DOI]

J. Vis. Commun. Image Represent., 2015

2014

Researching and Optimizing Key Technology of HDR Analog Signal Chain in the Satellite Communications.

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[DOI]

J. Comput., 2014

Structured partial least squares based appearance model for visual tracking.

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[DOI]

Neurocomputing, 2014

2013

MLSIM: A Multi-Level Similarity index for image quality assessment.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2013

Dense Stereo Matching Method Based on Local Affine Model.

[BibT_eX]

[DOI]

J. Comput., 2013

Compressive tracking via oversaturated sub-region classifiers.

[BibT_eX]

[DOI]

Qiuping Zhu

Jia Yan

Dexiang Deng

IET Comput. Vis., 2013

2012

A Self-adaptive and Real-time panoramic video mosaicing system.

[BibT_eX]

[DOI]

J. Comput., 2012

Dexiang Deng

Timeline

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On csauthors.net:

Bibliography

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