157 Result(s)
within
Chapter
**wen Yang
Computer Science
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Chapter and Conference Paper
A Framework for Applying Kansei Engineering Principles in the Design of Small Household Appliances
The demand for added value in small household appliances gradually increased. However, existing theoretical design methods often struggled to achieve satisfactory results in the practical design of small house...
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Chapter and Conference Paper
Professional Text Review Under Limited Sampling Constraints
Text review is a task that determines whether the knowledge expression in a student answer is consistent with a given reference answer. In the professional scenarios, the number of labeled samples is limited, ...
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Chapter and Conference Paper
CTL-I: Infrared Few-Shot Learning via Omnidirectional Compatible Class-Incremental
Accommodating infrared novel class in deep learning models without sacrificing prior knowledge of base class is a challenging task , especially when the available data for the novel class is limited. Existing ...
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Chapter and Conference Paper
From Theory to Practice: Bridging the Gap in Future Kitchen Design for the Chinese Generation Z
This paper delves into the intricate nexus of kitchen design and the unique characteristics of Chinese Generation Z,
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Chapter and Conference Paper
Unsupervised Event-to-Image Reconstruction Based on Domain Adaptation
Event camera outputs a stream of asynchronous events, which suffering from a lot of noise, sparse texture, and lacking of static background information. Existing event-to-image reconstruction (E2IR) methods mo...
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Chapter and Conference Paper
Inversion Image Pairs for Anti-forensics in the Frequency Domain
Recent studies have demonstrated that generative models, such as Generative Adversarial Networks (GANs), leave discernible traces in their results. Based on these traces, several forensic methods have achieved...
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Chapter and Conference Paper
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models
Performing magnetic resonance imaging (MRI) reconstruction from under-sampled k-space data can accelerate the procedure to acquire MRI scans and reduce patients’ discomfort. The reconstruction problem is usual...
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Chapter and Conference Paper
Convolutional Graph Neural Networks for Predicting Enthalpy of Formation in Intermetallic Compounds Using Continuous Filter Convolutional Layers
Accurately predicting the enthalpy of formation for intermetallic compounds plays a crucial role in materials design and optimization. This article proposes a novel deep learning approach for predicting format...
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Chapter and Conference Paper
AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs
Monitoring data of real-world networked systems could be sparse and irregular due to node failures or packet loss, which makes it a challenge to model the continuous dynamics of system states. Representing a n...
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Chapter and Conference Paper
A Video Face Recognition Leveraging Temporal Information Based on Vision Transformer
Video face recognition (VFR) has gained significant attention as a promising field combining computer vision and artificial intelligence, revolutionizing identity authentication and verification. Unlike tradit...
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Chapter and Conference Paper
SSR-MGTI: Self-attention Sequential Recommendation Algorithm Based on Movie Genre Time Interval
As an important part of the recommendation system, movie recommendation system can recommend movies to users accurately according to their preferences. Traditional movie recommendation systems simply treat use...
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Chapter and Conference Paper
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results
Develo** and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lac...
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Chapter and Conference Paper
Correction to: The City Scale Effect and the Baidu Index Prediction Model of Public Perceptions of the Risks Associated with Autonomous Driving Technology
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Chapter and Conference Paper
DRMC: A Generalist Model with Dynamic Routing for Multi-center PET Image Synthesis
Multi-center positron emission tomography (PET) image synthesis aims at recovering low-dose PET images from multiple different centers. The generalizability of existing methods can still be suboptimal for a mu...
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Chapter and Conference Paper
Research on Urban Subway Public Space Design Based on Regional Culture Dissemination
The purpose of this study is to explore the user perception of the display of major cultural elements in urban subway public spaces, and to provide design reference for improving the cultural expression of sub...
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Chapter and Conference Paper
Design of Chinese Metro Advertising Scene in the Era of Digital Media
With the rise of digital media and the large-scale construction of China’s metro, digital media advertising intervenes in the metro space, breaks through traditional advertising forms with strong interactivity...
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Chapter and Conference Paper
Intelligent IoT Terminal Software Identification System Based on Behavior Features
Intelligent IoT (Internet of Things) terminals are widely deployed in IoT systems and complete tasks such as data collection, data processing and analysis. The intelligent services provided by IoT systems are ...
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Chapter and Conference Paper
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
Cardiac structure segmentation from echocardiogram videos plays a crucial role in diagnosing heart disease. The combination of multi-view echocardiogram data is essential to enhance the accuracy and robustness...
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Chapter and Conference Paper
Disturbance Rejection Fixed Point Control of DELTA Parallel Manipulator Mounted on Autonomous Underwater Vehicle
This paper studied the fixed point control task of a DELTA parallel manipulator mounted on an autonomous underwater vehicle. Such a system features complex dynamics and susceptibility to disturbances due to it...
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Chapter and Conference Paper
ZeroGen: Zero-Shot Multimodal Controllable Text Generation with Multiple Oracles
Automatically generating textual content with desired attributes is an ambitious task that individuals have pursued long. Existing work has made a series of progress in incorporating unimodal controls into lan...
