Xiaoben Jiang

According to our database, Xiaoben Jiang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Local attention and long-distance interaction of rPPG for deepfake detection.

Jiahui Wu, Yu Zhu, Xiaoben Jiang, Yatong Liu, Jiajun Lin

Vis. Comput., February, 2024

2023

MC-DC: An MLP-CNN Based Dual-path Complementary Network for Medical Image Segmentation.

Xiaoben Jiang, Yu Zhu, Yatong Liu, Nan Wang, Lei Yi

Comput. Methods Programs Biomed., December, 2023

A multimodal transformer to fuse images and metadata for skin disease classification.

Gan Cai, Yu Zhu, Yue Wu, Xiaoben Jiang, Jiongyao Ye, Dawei Yang

Vis. Comput., July, 2023

TD-Net: Trans-Deformer network for automatic pancreas segmentation.

Shunbo Dai, Yu Zhu, Xiaoben Jiang, Fuli Yu, Jiajun Lin, Dawei Yang

Neurocomputing, 2023

2022

Cross-Domain Attention and Center Loss for Sketch Re-Identification.

Fengyao Zhu, Yu Zhu, Xiaoben Jiang, Jiongyao Ye

IEEE Trans. Inf. Forensics Secur., 2022

FERGCN: facial expression recognition based on graph convolution network.

Lei Liao, Yu Zhu, Bingbing Zheng, Xiaoben Jiang, Jiajun Lin

Mach. Vis. Appl., 2022

MXT: A New Variant of Pyramid Vision Transformer for Multi-label Chest X-ray Image Classification.

Xiaoben Jiang, Yu Zhu, Gan Cai, Bingbing Zheng, Dawei Yang

Cogn. Comput., 2022

2021

Low-dose CT lung images denoising based on multiscale parallel convolution neural network.

Xiaoben Jiang, Yan Jin, Yu Yao

Vis. Comput., 2021

Correction to: Low-dose CT lung images denoising based on multiscale parallel convolution neural network.

Xiaoben Jiang, Yan Jin, Yu Yao

Vis. Comput., 2021

Images denoising for COVID-19 chest X-ray based on multi-resolution parallel residual CNN.

Xiaoben Jiang, Yu Zhu, Bingbing Zheng, Dawei Yang

Mach. Vis. Appl., 2021

2019

An image denoising approach based on adaptive nonlocal total variation.

Yan Jin, Xiaoben Jiang, Wenyu Jiang

J. Vis. Commun. Image Represent., 2019

Chest X-ray image denoising method based on deep convolution neural network.

Yan Jin, Xiao-Ben Jiang, Zhen-kun Wei, Yuan Li

IET Image Process., 2019