activity
20192021
most citedAE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism

4 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Dynamic Image Restoration and Fusion Based on Dynamic Degradation

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +1

The deep-learning-based image restoration and fusion methods have achieved remarkable results. However, the existing restoration and fusion methods paid little research attention t…

cs.CV2020

AE-Netv2: Optimization of Image Fusion Efficiency and Network Architecture

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +2

Existing image fusion methods pay few research attention to image fusion efficiency and network architecture. However, the efficiency and accuracy of image fusion has an important…

cs.CV20204 cited

AE-Net: Autonomous Evolution Image Fusion Method Inspired by Human Cognitive Mechanism

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +2

In order to solve the robustness and generality problems of the image fusion task,inspired by the human brain cognitive mechanism, we propose a robust and general image fusion meth…

cs.CV2019

Cross-Modal Image Fusion Theory Guided by Subjective Visual Attention

Aiqing Fang, Xinbo Zhao, Yanning Zhang

The human visual perception system has very strong robustness and contextual awareness in a variety of image processing tasks. This robustness and the perception ability of context…

cs.CV2019

Non-linear and Selective Fusion of Cross-Modal Images

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +1

The human visual perception system has strong robustness in image fusion. This robustness is based on human visual perception system's characteristics of feature selection and non-…

cs.CV2019

A Cross-Modal Image Fusion Method Guided by Human Visual Characteristics

Aiqing Fang, Xinbo Zhao, Jiaqi Yang +1

The characteristics of feature selection, nonlinear combination and multi-task auxiliary learning mechanism of the human visual perception system play an important role in real-wor…