335 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
**g-** Ge
Chapter
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Chapter and Conference Paper
PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers in the word. However, the diverse microenvironment, unclear boundaries, integrity destruction inter the slices, and enormous individual d...
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Chapter and Conference Paper
ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI
Cardiac magnetic resonance imaging (MRI) is an advanced medical imaging technique widely used for the diagnosis and assessment of cardiovascular diseases. However, the acquisition time for cardiac MRI is gener...
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Chapter and Conference Paper
Intelligent Identification of Personnel off Duty Based on Improved YOLOv5
As one of the unsafe behaviors in the safety production process, the absence of operators has laid a major safety hazard for the safety production of the enterprise. Once a problem occurs in production, it is ...
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Chapter and Conference Paper
Task-Adaptive Generative Adversarial Network Based Speech Dereverberation for Robust Speech Recognition
Reverberation is known to severely affect speech recognition performance when speech is recorded in an enclosed space. Deep learning-based speech dereverberation has been remarkably successful in recent years,...
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Chapter and Conference Paper
BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset
Intracranial hemorrhage (ICH) is a pathological condition characterized by bleeding inside the skull or brain, which can be attributed to various factors. Identifying, localizing and quantifying ICH has import...
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Chapter and Conference Paper
Prediction of College English Final Exam Scores Based on Formative Performance Using Machine Learning Methods
With the advent of the information and artificial intelligence era, prediction methods have made significant advancements. This paper proposes a method for predicting final exam scores based on formative perfo...
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Chapter and Conference Paper
Exploring the Impact of Various Contrastive Learning Loss Functions on Unsupervised Domain Adaptation in Person Re-identification
Person Re-identification has drawn great attention in the industrial surveillance system. This paper focuses on the unsupervised domain adaptive case using different contrastive learning loss functions at the ...
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Chapter and Conference Paper
An Energy Prediction Method for Energy Harvesting Wireless Sensor with Dynamically Adjusting Weight Factor
Energy Harvesting wireless sensors (EHWS) experience non-linear variations in energy collection over time, leading to potential energy waste or inadequate energy supply. These factors can result in diminished ...
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Chapter
Future Work
Although point cloud compression technologies have achieved excellent performances and attracted much attention, the research is still in its infancy, and there is huge room for improvement. In this chapter, w...
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Chapter and Conference Paper
Agricultural Robotic System: The Automation of Detection and Speech Control
Agriculture industries often face challenges in manual tasks such as planting, harvesting, fertilizing, and detection, which can be time-consuming and prone to errors. The “Agricultural Robotic System” project...
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Chapter and Conference Paper
Computer Aided System Design for Handwriting Identification Based on Imaging
Handwriting identification is a biometric identification technology that relies on the biological characteristics of a writer. It is widely acknowledged that a person's strength, personality, and physique are ...
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Chapter and Conference Paper
Pseudo-label Based Unsupervised Momentum Representation Learning for Multi-domain Image Retrieval
Although many current cross-domain image retrieval researches have made good progress, most of the works is targeted at specific domains. At the same time, we also noticed that many works are based on manually...
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Chapter and Conference Paper
Multi-task Collaborative Network for Image-Text Retrieval
Image-text retrieval aims to capture semantic relevance between images and texts. Most existing approaches rely solely on the image-text pairs to learn visual-semantic representation through fine-grained align...
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Chapter
Quantization Techniques
Quantization is the process of projecting input values with a large set onto output values with a smaller set, where a typical example is the analog-to-digital conversion. It maps the processed data range from...
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Chapter
MPEG Geometry-Based Point Cloud Compression (G-PCC) Standard
Advances in 3D representation technology have promoted the development of digital museums, automated driving, and other virtual/augmented reality applications. The 3D point cloud is widely used in these emergi...
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Chapter
MPEG AI-Based 3D Graphics Coding Standard
Previously, our attention was directed toward techniques related to point cloud compression, encompassing transformation, quantization, entropy coding, and others. Within this section, our emphasis shifts towa...
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Chapter and Conference Paper
Color-Correlated Texture Synthesis for Hybrid Indoor Scenes
We introduce an automated pipeline for synthesizing texture maps in complex indoor scenes. With a style sample or color palette as inputs, our pipeline predicts theme color for each room using a GAN-based meth...
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Chapter
MPEG Video-Based Point Cloud Compression (V-PCC) Standard
To achieve efficient compression for 3D dynamic point cloud sequences, MPEG has developed video-based point cloud compression (V-PCC) standard. Specifically, V-PCC projects the 3D point cloud into 2D sequences...
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Chapter and Conference Paper
DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer
Automated and accurate classification of histopathological images of pancreatic cancer can lead to higher survival rates for more pancreatic cancer patients in the clinic. However, there are very scarce existi...
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Chapter and Conference Paper
Neural Networks in Forecasting Financial Volatility
In 2020s, the state of the art (SOTA) in financial volatility forecasting is underpinned by deep learning (DL). Despite this, forecasting methods in practice tend to be dominated by their more traditional coun...
