33 Result(s)
within
Chun** Ye
Computer Science
English
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Article
A key-points-assisted network with transfer learning for precision human action recognition in still images
Still image-based human action recognition is a highly sought-after but challenging field in computer vision, and such challenge mainly stems from the lack of information in single images. Therefore, efficient...
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Article
Single-image super-resolution via a lightweight convolutional neural network with improved shuffle learning
With the development of deep learning techniques, single-image super-resolution methods based on deep learning have made great progress, enabling significant improvements in image quality and detail reproducti...
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Article
De-redundancy in wireless capsule endoscopy video sequences using correspondence matching and motion analysis
Handling wireless capsule endoscopy (WCE) de-redundancy is a challenging task. This paper proposes a scheme, called SS-VCF-Der, to consider applying a flow field estimation between two successive WCE frames to WC...
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Chapter and Conference Paper
PointPuff: An Ed25519 Optimization Implementation
Data transmission and interaction in a network can not be separated from the digital signatures. In recent years, Ed25519 algorithm has attracted extensive attention for its “High-speed and High-security” feat...
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Article
A lightweight generative adversarial network for single image super-resolution
Single image super-resolution is a digital image processing technique that can obtain a corresponding high-resolution image from a low-resolution image. The growth of deep convolutional neural networks in the ...
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Chapter and Conference Paper
K-PropNet: Knowledge-Enhanced Hybrid Heterogeneous Homogeneous Propagation Network for Recommender System
In order to address the cold start problem and enhance model interpretability, recommender systems commonly incorporate knowledge graphs as supplementary information. However, existing knowledge graph-based re...
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Chapter and Conference Paper
Stock Market Prediction Based on BERT Embedding and News Sentiment Analysis
Stock market trend forecasting has attracted significant interest from investors and researchers. However, due to the high volatility of the stock market and its sensitivity to news events, it is difficult to ...
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Chapter and Conference Paper
Fine-Tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews
Consumer fraud is a significant problem that requires accurate and prompt detection. However, existing approaches such as periodic government inspections and consumer reports are inefficient and cumbersome. Th...
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Chapter and Conference Paper
BWA: Research on Adversarial Disturbance Space Based on Blind Watermarking and Color Space
Effective generation of adversarial examples can help to improve the training of neural models to avoid adversarial example attacks. Watermark-based adversarial example generation methods regard watermark as a...
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Chapter and Conference Paper
Eir-Ripp: Enriching Item Representation for Recommendation with Knowledge Graph
To improve the performance of recommendation models and enhance the interpretability of results, knowledge graph is often used to add rich semantic information to the recommended items. Existing methods either...
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Chapter and Conference Paper
Multi-convolutional Attention Networks for Dialogue Q &A Extraction
To help software engineers find useful information, it is desirable to extract Q &A from developer dialogue to build software engineering virtual assistant (Chatbots). One of the challenges is how to extract a...
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Chapter and Conference Paper
KFEA: Fine-Grained Review Analysis Using BERT with Attention: A Categorical and Rating-Based Approach
User reviews contain many key phrases that are crucial for business understanding, but they are often obscured by the sheer volume of reviews. Extracting key phrases from user reviews could help to understand ...
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Chapter and Conference Paper
One-Time Anonymous Certificateless Signcryption Scheme Based on Blockchain
The rapid increase of users in the blockchain makes it possible to exchange a large amount of data every moment. Since the information published on blockchain is recorded and cannot be tampered with, there is ...
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Article
Open AccessInversion-free geometric map** construction: A survey
A geometric map** establishes a correspondence between two domains. Since no real object has zero or negative volume, such a map** is required to be inversion-free. Computing inversion-free map**s is a f...
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Article
QoS Prediction based on temporal information and request context
Due to the complex and dynamic nature of the Internet, the status of services and their qualities (QoS) change frequently. It is thus important to predict the service quality accurately at runtime from the use...
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Chapter and Conference Paper
Short-Term Traffic Condition Prediction Based on Multi-source Data Fusion
Accurate prediction of the short-term traffic condition can help to relieve the pressure of traffic and optimize the intelligent transportation system. Traditional traffic condition prediction is mainly based ...
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Article
The influences of product similarity on consumer preferences: a study based on eye-tracking analysis
Product similarity plays an important role in affecting consumer preferences. Although the existing literature discusses consumer preferences or product similarity, there are only a few studies investigating t...
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Article
OHTMA: an optimized heuristic topology-aware map** algorithm on the Tianhe-3 exascale supercomputer prototype
With the rapid increase of the size of applications and the complexity of the supercomputer architecture, topology-aware process map** becomes increasingly important. High communication cost has become a dom...
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Chapter and Conference Paper
Two-Stream Framework for Activity Recognition with 2D Human Pose Estimation
Two-Stream framework with spatial information and optical flow information have reached the great performance for action recognition task in video. The optical flow information captures the low-level motion ch...
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Chapter and Conference Paper
Estimating End-to-End Available Bandwidth for Cyber-Physical Applications in Hybrid Networks
Available bandwidth estimation is very important for network operators, users, and bandwidth-sensitive applications. In the last 20 years, various techniques and systems have been proposed to estimate end-to-e...
