Jun Zhang

Orcid: 0000-0003-1804-9198

Affiliations:

National University of Defense Technology, Laboratory for big data and decision, Department of Information System and Management, Changsha, China (PhD 2008)

According to our database¹, Jun Zhang authored at least 28 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Hierarchical Progressive Image Forgery Detection and Localization Method Based on UNet.

[BibT_eX]

[DOI]

Big Data Cogn. Comput., September, 2024

FDML: Feature Disentangling and Multi-view Learning for face forgery detection.

[BibT_eX]

[DOI]

Neurocomputing, March, 2024

DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Camouflaged object detection with counterfactual intervention.

[BibT_eX]

[DOI]

Neurocomputing, October, 2023

Long-Tailed Object Detection for Multimodal Remote Sensing Images.

[BibT_eX]

[DOI]

Remote. Sens., September, 2023

Debiased Scene Graph Generation for Dual Imbalance Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

MSFRNet: Two-stream deep forgery detector via multi-scale feature extraction.

[BibT_eX]

[DOI]

IET Image Process., February, 2023

Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Feature Bias Correction: A Feature Augmentation Method for Long-tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

A unified deep sparse graph attention network for scene graph generation.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Patch-DFD: Patch-based end-to-end DeepFake discriminator.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

Deep forgery discriminator via image degradation analysis.

[BibT_eX]

[DOI]

IET Image Process., 2021

Relationship-Aware Primal-Dual Graph Attention Network For Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Convolutional Attention Network with Maximizing Mutual Information for Fine-Grained Image Classification.

[BibT_eX]

[DOI]

Symmetry, 2020

Attentive Gated Graph Neural Network for Image Scene Graph Generation.

[BibT_eX]

[DOI]

Symmetry, 2020

2019

Bi-direction hierarchical LSTM with spatial-temporal attention for action recognition.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2019

Image semantic segmentation with finer edges and complete parts from bounding box annotations.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2019

2017

Review network for scene text recognition.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2017

Convolutional recurrent neural networks with hidden Markov model bootstrap for scene text recognition.

[BibT_eX]

[DOI]

IET Comput. Vis., 2017

Generating image descriptions with multidirectional 2D long short-term memory.

[BibT_eX]

[DOI]

IET Comput. Vis., 2017

Deep neural network with attention model for scene text recognition.

[BibT_eX]

[DOI]

IET Comput. Vis., 2017

Continuous action recognition with weakly labelling videos.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Recurrent Highway Networks with Attention Mechanism for Scene Text Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Discriminative orthogonal elastic preserving projections for classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Continuous action segmentation and recognition using hybrid convolutional neural network-hidden Markov model model.

[BibT_eX]

[DOI]

IET Comput. Vis., 2016

2015

Agglomerative clustering and collectiveness measure via exponent generating function.

[BibT_eX]

[DOI]

CoRR, 2015

2014

$L_{1/2}$-Regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2014

Online structural SVM learning by dual ascending procedure.

[BibT_eX]

[DOI]

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Jun Zhang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...