Jiawei Xu

Orcid: 0000-0002-1891-0542

Affiliations:
  • Wenzhou University, College of Computer Science and Artificial Intelligence, Zhejiang, China
  • Newcastle University, School of Computing, Newcastle upon Tyne, UK (2017 - 2019)
  • National Institutes of Health, USA (2016)
  • University of Lincoln, School of Computer Science, UK (PhD 2015)


According to our database1, Jiawei Xu authored at least 31 papers between 2012 and 2024.

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

Timeline

Legend:

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Bibliography

2024
AITFuse: Infrared and visible image fusion via adaptive interactive transformer learning.
Knowl. Based Syst., 2024

2023
Left Gaze Bias Between LHT and RHT: A Recommendation Strategy to Mitigate Human Errors in Left- and Right-Hand Driving.
IEEE Trans. Intell. Veh., October, 2023

A Cross-Scale Iterative Attentional Adversarial Fusion Network for Infrared and Visible Images.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Human-Factors-in-Driving-Loop: Driver Identification and Verification via a Deep Learning Approach using Psychological Behavioral Data.
IEEE Trans. Intell. Transp. Syst., March, 2023

Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning.
IEEE Trans. Multim., 2023

2022
Driving Performance Under Violations of Traffic Rules: Novice vs. Experienced Drivers.
IEEE Trans. Intell. Veh., 2022

The Alleviation of Perceptual Blindness During Driving in Urban Areas Guided by Saccades Recommendation.
IEEE Trans. Intell. Transp. Syst., 2022

The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness.
IEEE Trans. Intell. Transp. Syst., 2022

Res2Fusion: Infrared and Visible Image Fusion Based on Dense Res2net and Double Nonlocal Attention Models.
IEEE Trans. Instrum. Meas., 2022

UNFusion: A Unified Multi-Scale Densely Connected Network for Infrared and Visible Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2022

Deep Feature Interactive Aggregation Network for Single Image Deraining.
IEEE Access, 2022

2021
Robust feature learning for adversarial defense via hierarchical feature alignment.
Inf. Sci., 2021

Haze concentration adaptive network for image dehazing.
Neurocomputing, 2021

2020
A Temporally Irreversible Visual Attention Model Inspired by Motion Sensitive Neurons.
IEEE Trans. Ind. Informatics, 2020

Improvement of viewing experience on stereoscopic image guided by human stereo vision.
Multim. Tools Appl., 2020

Multi-level Feature Fusion Network for Single Image Super-Resolution.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Feature Fusion Based on Sparse Block for Image Super-resolution.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Nonlocal Denoising Framework Based on Tensor Robust Principal Component Analysis with ℓp norm.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Self-calibrated Attention Residual Network for Image Super-Resolution.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
A bio-inspired motion sensitive model and its application to estimating human gaze positions under classified driving conditions.
Neurocomputing, 2019

2018
Automatic Analysis of Microaneurysms Turnover to Diagnose the Progression of Diabetic Retinopathy.
IEEE Access, 2018

2017
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test.
IEEE Trans. Intell. Transp. Syst., 2017

What has been missed for real life driving? an inspirational thinking from human innate biases.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2015
Building up a Bio-Inspired Visual Attention Model by Integrating Top-Down Shape Bias and Improved Mean Shift Adaptive Segmentation.
Int. J. Pattern Recognit. Artif. Intell., 2015

A saliency-based cascade method for fast traffic sign detection.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

2014
Mimicking visual searching with integrated top down cues and low-level features.
Neurocomputing, 2014

Perceiving Motion Cues Inspired by Microsoft Kinect Sensor on Game Experiencing.
CoRR, 2014

2013
A Motion Attention Model Based on Rarity Weighting and Motion cues in Dynamic Scenes.
Int. J. Pattern Recognit. Artif. Intell., 2013

2012
Visual Based Contour Detection by Using the Improved Short Path Finding.
Proceedings of the Engineering Applications of Neural Networks, 2012

A top-down attention model based on the semi-supervised learning.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

A primal dual proximal point method of Chambolle-Pock algorithms for ℓ1-TV minimization problems in image reconstruction.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012


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