18 citations · 34 across the 9 of their papers we have counts for
9 papers
A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS
Na Li, Xinbo Zhao
Human gait is one of important biometric characteristics for human identification at a distance. In practice, occlusion usually occurs and seriously affects accuracy of gait recogn…
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning
Weiquan Huang, Yan Bai, Qiuyu Ren +3
Existing public person Re-Identification~(ReID) datasets are small in modern terms because of labeling difficulty. Although unlabeled surveillance video is abundant and relatively…
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…
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…
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…
JointsGait:A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping
Na Li, Xinbo Zhao, Chong Ma
Gait, as one of unique biometric features, has the advantage of being recognized from a long distance away, can be widely used in public security. Considering 3D pose estimation is…
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…
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-…
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…