Jianbiao He
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View article: Enhanced Deblurring for Smart Cabinets in Dynamic and Low-Light Scenarios
Enhanced Deblurring for Smart Cabinets in Dynamic and Low-Light Scenarios Open
In this paper, we propose a novel method to address dynamic blur and low-light issues in smart cabinets, which is named the MIMO-IMF (Multi-input Multi-output U-Net Integrated Motion Framework). This method combines a Frequency-Domain Adap…
View article: GaitSTAR: Spatial–Temporal Attention-Based Feature-Reweighting Architecture for Human Gait Recognition
GaitSTAR: Spatial–Temporal Attention-Based Feature-Reweighting Architecture for Human Gait Recognition Open
Human gait recognition (HGR) leverages unique gait patterns to identify individuals, but the effectiveness of this technique can be hindered due to various factors such as carrying conditions, foot shadows, clothing variations, and changes…
View article: Improved Transformer-Based Deblurring of Commodity Videos in Dynamic Visual Cabinets
Improved Transformer-Based Deblurring of Commodity Videos in Dynamic Visual Cabinets Open
In the dynamic visual cabinet, the occurrence of motion blur when consumers take out commodities will reduce the accuracy of commodity detection. Recently, although Transformer-based video deblurring networks have achieved results compared…
View article: A Lightweight Image Super-Resolution Reconstruction Algorithm Based on the Residual Feature Distillation Mechanism
A Lightweight Image Super-Resolution Reconstruction Algorithm Based on the Residual Feature Distillation Mechanism Open
In recent years, the development of image super-resolution (SR) has explored the capabilities of convolutional neural networks (CNNs). The current research tends to use deeper CNNs to improve performance. However, blindly increasing the de…
View article: Enhancing Workplace Safety: PPE_Swin—A Robust Swin Transformer Approach for Automated Personal Protective Equipment Detection
Enhancing Workplace Safety: PPE_Swin—A Robust Swin Transformer Approach for Automated Personal Protective Equipment Detection Open
Accidents occur in the construction industry as a result of non-compliance with personal protective equipment (PPE). As a result of diverse environments, it is difficult to detect PPE automatically. Traditional image detection models like …
View article: Recognition of Occluded Goods under Prior Inference Based on Generative Adversarial Network
Recognition of Occluded Goods under Prior Inference Based on Generative Adversarial Network Open
Aiming at the recognition of intelligent retail dynamic visual container goods, two problems that lead to low recognition accuracy must be addressed; one is the lack of goods features caused by the occlusion of the hand, and the other is t…
View article: Fast 3D Visualization of Massive Geological Data Based on Clustering Index Fusion
Fast 3D Visualization of Massive Geological Data Based on Clustering Index Fusion Open
With the development of visualization technology, the amount of geological data information is increasing, and the interactive display of big data faces severe challenges. Because traditional volume rendering methods cannot entirely load …
View article: Generative Facial Prior and Semantic Guidance for Iterative Face Inpainting
Generative Facial Prior and Semantic Guidance for Iterative Face Inpainting Open
Image inpainting techniques have been greatly improved by relying on structure and texture priors. However, damaged original images or rough predictions cannot provide sufficient texture information and accurate structural priors, leading …
View article: Head Pose Estimation in Complex Environment Based on Four-Branch Feature Selective Extraction and Regional Information Exchange Fusion Network
Head Pose Estimation in Complex Environment Based on Four-Branch Feature Selective Extraction and Regional Information Exchange Fusion Network Open
Under the severe situation of the COVID-19 pandemic, masks cover most of the effective facial features of users, and their head pose changes significantly in a complex environment, which makes the accuracy of head pose estimation in some s…
View article: Fine Segmentation on Faces With Masks Based on a Multistep Iterative Segmentation Algorithm
Fine Segmentation on Faces With Masks Based on a Multistep Iterative Segmentation Algorithm Open
Innovation in facial recognition technology is urgent in the current epidemic situation. In order to extract more face features to perform facial recognition on images of faces with masks, we propose a multi-step iterative face-mask segmen…
View article: Face Recognition With Masks Based on Spatial Fine-Grained Frequency Domain Broadening
Face Recognition With Masks Based on Spatial Fine-Grained Frequency Domain Broadening Open
Along with social distancing, wearing masks is an effective method of preventing the transmission of COVID-19 in the ongoing pandemic. However, masks occlude a large number of facial features, preventing facial recognition. The recognition…
View article: COVID-19 detection method based on SVRNet and SVDNet in lung x-rays
COVID-19 detection method based on SVRNet and SVDNet in lung x-rays Open
Purpose: To detect and diagnose coronavirus disease 2019 (COVID-19) better and faster, separable VGG-ResNet (SVRNet) and separable VGG-DenseNet (SVDNet) models are proposed, and a detection system is designed, based on lung x-rays t…
View article: Small-Object Detection Based on YOLO and Dense Block via Image Super-Resolution
Small-Object Detection Based on YOLO and Dense Block via Image Super-Resolution Open
Small-object detection is a basic and challenging problem in computer vision tasks. It is widely used in pedestrian detection, traffic sign detection, and other fields. This paper proposes a deep learning small-object detection method base…
View article: MR-CapsNet: A Deep Learning Algorithm for Image-Based Head Pose Estimation on CapsNet
MR-CapsNet: A Deep Learning Algorithm for Image-Based Head Pose Estimation on CapsNet Open
Head pose estimation based on a single image is a challenging endeavor because of the complex background conditions and characteristics of the human face. In this report, we propose a Multi stage Regression-Capsule Network (MR-CapsNet) to …
View article: Fast Visualization of 3D Massive Data Based on Improved Hilbert R-Tree and Stacked LSTM Models
Fast Visualization of 3D Massive Data Based on Improved Hilbert R-Tree and Stacked LSTM Models Open
With the explosive growth of scientific data, significant challenges exist with respect to the interaction of large volumetric datasets. To solve these problems, we propose a visualization algorithm based on the Hilbert R-tree improved by …
View article: Efficient Traffic Accident Warning Based on Unsupervised Prediction Framework
Efficient Traffic Accident Warning Based on Unsupervised Prediction Framework Open
Recognizing potentially hazardous objects is crucial in the field of transportation, especially in assisted and unmanned driving. However, most existing studies do not focus on defensive driving as they only identify accidents ahead of the…
View article: Cv-CapsNet: Complex-Valued Capsule Network
Cv-CapsNet: Complex-Valued Capsule Network Open
Capsule network (CapsNet) can recognize the objects by encoding the part-whole relationships in a way similar to our human perceptual system and has already shown its great potential in image classification tasks. However, it is limited to…
View article: Minimum Monotonous Constraint Closure Hadoop Parallel Association Rules Under Big Data Environment
Minimum Monotonous Constraint Closure Hadoop Parallel Association Rules Under Big Data Environment Open
Aiming at the lager rule redundancy problems in traditional association rules, this article proposes minimum monotonous constraint closure Hadoop parallel association rules.First, basing on closure operator constraint rule equivalence rela…