6,143 Result(s)
within
Chapter
**lu Chen
Image Processing and Computer Vision
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Chapter and Conference Paper
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer
Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucial but time...
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Chapter and Conference Paper
IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain
General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and inability to provide medical a...
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Chapter and Conference Paper
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective manageme...
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Chapter and Conference Paper
Multi-level Patch Transformer for Style Transfer with Single Reference Image
Despite the recent success of image style transfer with Generative Adversarial Networks (GANs), this task remains challenging due to the requirements of large volumes of style image data. In this work, we pres...
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Chapter and Conference Paper
Improving Small License Plate Detection with Bidirectional Vehicle-Plate Relation
License plate detection is a critical component of license plate recognition systems. A challenge in this domain is detecting small license plates captured at a considerable distance. Previous researchers have...
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Chapter and Conference Paper
FFANet: Dual Attention-Based Flow Field Aware Network for 3D Grid Classification and Segmentation
Deep learning-based approaches for three-dimensional (3D) grid understanding and processing tasks have been extensively studied in recent years. Despite the great success in various scenarios, the existing app...
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Chapter and Conference Paper
Real-Time Driver Fatigue Detection Method Based on Comprehensive Facial Features
In recent years, there have been frequent cases of vehicle accidents caused by fatigued driving, leading to considerable economic losses and a high number of casualties. Accordingly, it has an important social...
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Chapter and Conference Paper
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
Deepfake technology has raised concerns about the authenticity of digital content, necessitating the development of effective detection methods. However, the widespread availability of deepfakes has given rise...
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Chapter and Conference Paper
Period Extraction for Traffic Flow Prediction
Due to the particularity of “Tourist chartered Buses, Liner Buses and Dangerous Goods Transport Vehicles” (“TLD Vehicles”), traffic accidents will bring serious losses. Therefore, traffic flow prediction for “...
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Chapter and Conference Paper
Gait Recognition Based on Temporal Gait Information Enhancing
Gait recognition is a long range biometric technology that identifies individuals by their walking patterns. Currently, gait recognition primarily extracts gait features using convolutional neural networks, wh...
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Chapter and Conference Paper
MedFPNet: A Medical Image Segmentation Network Based on Fourier Transform
Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. U-Net and its variants are currently the mainstream strategies to segment the medical images. In orde...
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Chapter and Conference Paper
MARS: An Instance-Aware, Modular and Realistic Simulator for Autonomous Driving
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner cases by simulating them. To t...
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Chapter and Conference Paper
Generative Adversarial Network Based Asymmetric Deep Cross-Modal Unsupervised Hashing
With the explosive growth of internet information, cross-modal retrieval has become an important and valuable frontier hotspot. Due to its low storage consumption and high search speed, deep hashing has achiev...
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Chapter and Conference Paper
Spatio-Temporal Fusion Based Low-Loss Video Compression Algorithm for UAVs with Limited Processing Capability
Real-time urban crowd surveillance is essential for riot supervision, epidemic prevention, and urban emergency management. Unmanned aerial vehicles (UAVs) provide a promising way for real-time crowd surveillan...
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Chapter and Conference Paper
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation
Ultrasound (US) image segmentation is an active research area that requires real-time and highly accurate analysis in many scenarios. The detect-to-segment (DTS) frameworks have been recently proposed to balan...
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Chapter and Conference Paper
A Purified Stacking Ensemble Framework for Cytology Classification
Cancer is one of the fatal threats to human beings. However, early detection and diagnosis can significantly reduce death risk, in which cytology classification is indispensable. Researchers have proposed many...
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Chapter and Conference Paper
Irregular License Plate Recognition via Global Information Integration
Irregular license plate recognition remains challenging due to the irregular layouts of characters, such as multi-line and perspective-distorted layouts. Many previous methods are based on different attention ...
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Chapter and Conference Paper
The Performance Analysis of Double Intelligent Reflecting Surface-Assisted Cognitive Radio Network
Intelligent reflecting surfaces (IRS) can efficiently improve the performance of wireless communication networks by intelligently reconfiguring the wireless propagation environment. Recently, IRS has been inte...
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Chapter and Conference Paper
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
It can be challenging to identify brain MRI anomalies using supervised deep-learning techniques due to anatomical heterogeneity and the requirement for pixel-level labeling. Unsupervised anomaly detection appr...
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Chapter and Conference Paper
Deep Learning for Skin Lesion Segmentation: A Review and Outlook
Human skin acts as an important barrier that protects the proper functioning of the body's circulatory system. According to surveys in the last 30 years, the number of people affected by skin lesions far excee...
