Libin Jiao
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View article: Few-Shot Identification of Individuals in Sports: The Case of Darts
Few-Shot Identification of Individuals in Sports: The Case of Darts Open
This paper contains an analysis of methods for person classification based on signals from wearable IMU sensors during sports. While this problem has been investigated in prior work, existing approaches have not addressed it within the con…
View article: Impact of electronic cigarette usage on the onset of respiratory symptoms and COPD among Chinese adults
Impact of electronic cigarette usage on the onset of respiratory symptoms and COPD among Chinese adults Open
The prevalence of dual usage and the relatively low cessation rate among e-cigarette (EC) users suggest that ECs have not demonstrated significant effectiveness as a smoking cessation tool. Furthermore, there has been a substantial increas…
View article: Permutohedral Refined UNet: Bilateral Feature-Scalable Segmentation Network for Edge-Precise Cloud and Shadow Detection
Permutohedral Refined UNet: Bilateral Feature-Scalable Segmentation Network for Edge-Precise Cloud and Shadow Detection Open
Remote sensing images are usually contaminated by opaque cloud and shadow regions when acquired, and thus cloud and shadow detections become one of the essential prerequisites for the restoration of the objects of interest before further p…
View article: Towards Edge-Precise Cloud and Shadow Detection on the GaoFen-1 Dataset: A Visual, Comprehensive Investigation
Towards Edge-Precise Cloud and Shadow Detection on the GaoFen-1 Dataset: A Visual, Comprehensive Investigation Open
Remote sensing images are usually contaminated by opaque cloud and shadow regions when acquired, and therefore cloud and shadow detection arises as one of the essential prerequisites for restoration and prediction of the objects of interes…
View article: Effect of high-level fine particulate matter and its interaction with meteorological factors on AECOPD in Shijiazhuang, China
Effect of high-level fine particulate matter and its interaction with meteorological factors on AECOPD in Shijiazhuang, China Open
Epidemiological evidence of the effect of high-level air pollution and its interaction with meteorological factors on the risk of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is limited. Daily data on AECOPD cases, …
View article: Frequency Increments Optimization Based on IPSO to Extend Beam Dwell Time for Frequency Diverse Array
Frequency Increments Optimization Based on IPSO to Extend Beam Dwell Time for Frequency Diverse Array Open
Compared with traditional phased array radar, frequency diverse array (FDA) can form a range-dependent beampattern and overcome the shortcoming that the traditional phased array radar cannot effectively control the range direction of the t…
View article: Refined UNet V4: End-to-End Patch-Wise Network for Cloud and Shadow Segmentation with Bilateral Grid
Refined UNet V4: End-to-End Patch-Wise Network for Cloud and Shadow Segmentation with Bilateral Grid Open
Remote sensing images are usually contaminated by cloud and corresponding shadow regions, making cloud and shadow detection one of the essential prerequisites for processing and translation of remote sensing images. Edge-precise cloud and …
View article: Rethinking Golf Swing Classification: From A Frequency Domain View
Rethinking Golf Swing Classification: From A Frequency Domain View Open
Signals conveyed by sophisticated sensor equipment play a pivotal role in evaluating athletes' exercise performance. However, some of the sports, such as modern golf, contain too many exercise phases within a short period. Consequently, th…
View article: Refined UNet Lite: End-to-End Lightweight Network for Edge-precise Cloud Detection
Refined UNet Lite: End-to-End Lightweight Network for Edge-precise Cloud Detection Open
Inevitable cloud regions dramatically degrade the visibility of remote sensing images, and resulting cloud detection is one of the essential prerequisites for applications of remote sensing images. In Refined UNets, we explored solutions t…
View article: Guided-Pix2Pix: End-to-End Inference and Refinement Network for Image Dehazing
Guided-Pix2Pix: End-to-End Inference and Refinement Network for Image Dehazing Open
Haze removal is still an essential prerequisite for image processing and computer vision tasks, and joint inference and refinement of transmission maps remain challenging in the physical scattering model-based haze removal methods. In this…
View article: Impact of percutaneous poking reduction combined with minimally invasive plate internal fixation on foot function and complications of patients with Sanders type II and III calcaneal fractures.
Impact of percutaneous poking reduction combined with minimally invasive plate internal fixation on foot function and complications of patients with Sanders type II and III calcaneal fractures. Open
PPR combined with MIPIF can significantly promote the healing of Sanders type II and III CFs and the recovery of the Gissane angle and Bohler angle, effectively improve the foot function of patients and induce fewer complications, which is…
View article: Refined UNet V2: End-to-End Patch-Wise Network for Noise-Free Cloud and Shadow Segmentation
Refined UNet V2: End-to-End Patch-Wise Network for Noise-Free Cloud and Shadow Segmentation Open
Cloud and shadow detection is an essential prerequisite for further remote sensing processing, whereas edge-precise segmentation remains a challenging issue. In Refined UNet, we considered the aforementioned task and proposed a two-stage p…
View article: Refined UNet: UNet-Based Refinement Network for Cloud and Shadow Precise Segmentation
Refined UNet: UNet-Based Refinement Network for Cloud and Shadow Precise Segmentation Open
Formulated as a pixel-level labeling task, data-driven neural segmentation models for cloud and corresponding shadow detection have achieved a promising accomplishment in remote sensing imagery processing. The limited capability of these m…
View article: An Improved Particle Swarm Algorithm with Heuristic Factors and Empirical Operators
An Improved Particle Swarm Algorithm with Heuristic Factors and Empirical Operators Open
An improved particle swarm algorithm (PSA) is proposed based on the universal framework of the intelligence optimization algorithms (IOA). Regarded as increment to the standard PSA, the improved PSA takes the essence of the standard PSA, a…
View article: An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence
An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence Open
This paper proposes an empirical model of the angle-of-arrival (AOA) variance for a Gaussian wave propagating through the weak non-Kolmogorov turbulence. The proposed model is approximately expressed as the linear weighted average between …
View article: An Eight-parallel Hierarchical Constant Modulus Algorithm for Sixty-four Quadrature Amplitude Modulation
An Eight-parallel Hierarchical Constant Modulus Algorithm for Sixty-four Quadrature Amplitude Modulation Open
One derivative type of the constant modulus algorithm (CMA) termed hierarchical CMA (HCMA) is investigated for its parallel implementation with 8 lanes. Taking the essence of CMA, HCMA is also the steepest descent under the least mean-squa…
View article: New Inpainting Algorithm Based on Simplified Context Encoders and Multi-Scale Adversarial Network
New Inpainting Algorithm Based on Simplified Context Encoders and Multi-Scale Adversarial Network Open
Inpainting refers to reconstruct the incomplete image or video via analysing their context, feature of the tailing etc. Convolutional neural network with deep learning is proved to be an effective method to achieve inpainting. However, tho…
View article: Golf swing classification with multiple deep convolutional neural networks
Golf swing classification with multiple deep convolutional neural networks Open
The use of smart sports equipment and body sensory systems supervising daily sports training is gradually emerging in professional and amateur sports; however, the problem of processing large amounts of data from sensors used in sport and …
View article: Sensor selection scheme in activity recognition based on hierarchical feature reduction
Sensor selection scheme in activity recognition based on hierarchical feature reduction Open
To better understand the activity state of human, we might need multiple sensors on different parts of the body. According to different types of activities, the number and slot of required sensors would also be different. Therefore, how to…
View article: Text Recovery via Deep CNN-BiLSTM Recognition and Bayesian Inference
Text Recovery via Deep CNN-BiLSTM Recognition and Bayesian Inference Open
Image inpainting is an essential process of semantically filling the missing holes in a corrupt image. However, concurrent methods cannot semantically recover some self-described objects, such as a text instance. In this paper, we focus on…
View article: Multi-sensor Golf Swing Classification Using Deep CNN
Multi-sensor Golf Swing Classification Using Deep CNN Open
In recent years smart sport equipments have achieved great success in professional and amateur sports, as well as body sensory systems; now discovering interesting knowledge in the surge of data from those embedded sensors used in sports i…
View article: Hierarchical Feature Reduction with Max Relevance and Low Dimensional Embedding Strategy and Its Application in Activity Recognition with Multi-sensors
Hierarchical Feature Reduction with Max Relevance and Low Dimensional Embedding Strategy and Its Application in Activity Recognition with Multi-sensors Open
Human activity recognition is widely discussed in many domains, and wearable sensors have proved to be a wise choice in related studies. Regarding activity estimation based on multiple sensors, we focus on the feature reduction process bas…
View article: Proper Global Shared Preference Detection Based on Golden Section and Genetic Algorithm for Affinity Propagation Clustering
Proper Global Shared Preference Detection Based on Golden Section and Genetic Algorithm for Affinity Propagation Clustering Open
Affinity propagation (AP) clustering is a well-known effective clustering algorithm that outperforms other traditional clustering algorithms. However, the quality of clustering results depends considerably on related sensitive parameters (…
View article: Sports Motion Recognition Using MCMR Features Based on Interclass Symbolic Distance
Sports Motion Recognition Using MCMR Features Based on Interclass Symbolic Distance Open
Human motion and gesture recognition receive much concern in sports field, such as physical education and fitness for all. Although plenty of mature applications appear in sports training using photography, video camera, or professional se…