Huanjie Tao

IEEE Internet Things J., April, 2024

A label-relevance multi-direction interaction network with enhanced deformable convolution for forest smoke recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., February, 2024

Hierarchical attention network with progressive feature fusion for facial expression recognition.

[BibT_eX]

[DOI]

Neural Networks, 2024

A triple interference removal network based on temporal and spatial attention interaction for forest smoke recognition in videos.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2024

2023

An attention-erasing stripe pyramid network for face forgery detection.

[BibT_eX]

[DOI]

Signal Image Video Process., November, 2023

Learning discriminative feature representation with pixel-level supervision for forest smoke recognition.

[BibT_eX]

[DOI]

Pattern Recognit., November, 2023

An improved interaction-and-aggregation network for person re-identification.

[BibT_eX]

[DOI]

Multim. Tools Appl., November, 2023

An Adaptive Interference Removal Framework for Video Person Re-Identification.

[BibT_eX]

[DOI]

Jianfeng An

IEEE Trans. Circuits Syst. Video Technol., September, 2023

A gated multi-hierarchical feature fusion network for recognizing steel plate surface defects.

[BibT_eX]

[DOI]

Multim. Syst., June, 2023

Controllable smoke image generation network based on smoke imaging principle.

[BibT_eX]

[DOI]

Jing Wang

Zhouxin Xin

Multim. Tools Appl., May, 2023

An adaptive frame selection network with enhanced dilated convolution for video smoke recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., April, 2023

A Two-Stage Network for Zero-Shot Low-Illumination Image Restoration.

[BibT_eX]

[DOI]

Sensors, January, 2023

Learning discriminative features for person re-identification via multi-spectral channel attention.

[BibT_eX]

[DOI]

Signal Image Video Process., 2023

2022

Learning Discriminative Feature Representation for Estimating Smoke Density of Smoky Vehicle Rear.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Attention-Aggregated Attribute-Aware Network With Redundancy Reduction Convolution for Video-Based Industrial Smoke Emission Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2022

Lightweight Single Image Super-Resolution with Selective Channel Processing Network.

[BibT_eX]

[DOI]

Sensors, 2022

CENet: A Channel-Enhanced Spatiotemporal Network With Sufficient Supervision Information for Recognizing Industrial Smoke Emissions.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

2020

Smoke Vehicle Detection Based on Spatiotemporal Bag-Of-Features and Professional Convolutional Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

Smoke vehicle detection based on multi-feature fusion and hidden Markov model.

[BibT_eX]

[DOI]

J. Real Time Image Process., 2020

A three-stage framework for smoky vehicle detection in traffic surveillance videos.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Detecting smoky vehicles from traffic surveillance videos based on dynamic features.

[BibT_eX]

[DOI]

Appl. Intell., 2020

Generating Realistic Smoke Images With Controllable Smoke Components.

[BibT_eX]

[DOI]

Chao Xie

IEEE Access, 2020

2019

Contour-based smoky vehicle detection from surveillance video for alarm systems.

[BibT_eX]

[DOI]

Signal Image Video Process., 2019

Smoke vehicle detection based on robust codebook model and robust volume local binary count patterns.

[BibT_eX]

[DOI]

Image Vis. Comput., 2019

2018

Smoky vehicle detection based on multi-scale block Tamura features.

[BibT_eX]

[DOI]

Signal Image Video Process., 2018

Smoky vehicle detection based on multi-feature fusion and ensemble neural networks.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Correction of micro-CT image geometric artefacts based on marker.

[BibT_eX]

[DOI]

IET Image Process., 2018

Smoky Vehicle Detection Based on Range Filtering on Three Orthogonal Planes and Motion Orientation Histogram.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

A New 3D Multi-modality Medical Bone Image Registration Algorithm.

[BibT_eX]

[DOI]