3,290 Result(s)
within
**hu Li
Artificial Intelligence
Computer Applications
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Chapter and Conference Paper
IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors
In the face reenactment task, identity preservation is challenging due to the leakage of driving identity and the complexity of source identity. In this paper, we propose an Identity-Preserving Face Reenactmen...
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Chapter and Conference Paper
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study
Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide. It is often treated by placing stents in the coronary arteries. Inappropriately placed stents or malappositions can result in p...
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Chapter and Conference Paper
Coarse-to-Fine Response Generation for Document Grounded Conversations
Generating fluent and informative responses is crucial for dialogue systems. Most existing studies introduce documents as additional document to improve dialogue generation performance. However, understanding ...
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Chapter and Conference Paper
A Review of Relationship Extraction Based on Deep Learning
Relation extraction is a key task in natural language processing. In recent years, deep learning techniques have been widely applied in relation extraction tasks. This paper systematically reviews relation ext...
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Chapter and Conference Paper
Design of High-Performance Broadband Power Amplifier Based on Normal Distribution Real Frequency Matching Method
In order to improve the working bandwidth of the power amplifier and make it suitable for a variety of application scenarios, a real frequency matching method based on normal distribution generating weights is...
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Chapter and Conference Paper
Exploring the Establishment and Implementation of a Teaching Evaluation System Based on Value-Added Assessment
Value-added assessment (VAA) can effectively solve the existing problems of the excess of outcome-oriented evaluations and the lack of teaching evaluation feedback mechanisms in higher education, which plays a...
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Chapter and Conference Paper
Generalizable and Accurate 6D Object Pose Estimation Network
6D object pose estimation is an important task in computer vision, and the task of estimating 6D object pose from a single RGB image is even more challenging. Many methods use deep learning to acquire 2D featu...
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Chapter and Conference Paper
Research on Construction of Student Academic Early Warning Model Based on Ensemble Learning
The educational data mining technology could support teaching management and it has received more and more attention. This paper focuses on the prediction problem of student academic performance and constructs...
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Chapter and Conference Paper
MLDF-Net: Metadata Based Multi-level Dynamic Fusion Network
Computer-aided diagnosis has been widely used in the medical field, and one of the current research hotspots for aiding diagnosis is how to effectively fuse heterogeneous data such as image data and metadata. ...
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Chapter and Conference Paper
MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems
As machine learning technology continues to advance rapidly, an increasing number of researchers are utilizing it in the field of malware detection. Despite the fact that learning-based malware detection syste...
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Chapter and Conference Paper
MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data
We propose a novel U-Net model named MS-UNet for the medical image segmentation task in this study. Instead of the single-layer U-Net decoder structure used in Swin-UNet and TransUnet, we specifically design a...
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Chapter and Conference Paper
L2T-BEV: Local Lane Topology Prediction from Onboard Surround-View Cameras in Bird’s Eye View Perspective
High definition maps (HDMaps) serve as the foundation for autonomous vehicles, encompassing various driving scenario elements, among which lane topology is critically important for vehicle perception and plann...
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Chapter and Conference Paper
Design of Push Algorithm for Individualized Course Content of College Public Art Education Online Education
In order to improve the adaptability of online education personalized course push resources and user demand resources, and reduce the push time, a new push method is designed for online education personalized ...
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Chapter and Conference Paper
Construction and Evaluation of College Students’ Psychological Education Evaluation Model Based on Joint Neural Network
The construction and evaluation of a college student psychological education evaluation model based on joint neural networks can provide personalized evaluations by analyzing the psychological characteristics ...
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Chapter and Conference Paper
Application of Ant Colony Algorithm in Physical Education Teaching Evaluation
Ant colony is a bionic algorithm, which is used the of finding the optimal solution in the process of solving. Ant is an example of this algorithm. It can find the in many cases. The main idea behind ant colon...
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Chapter and Conference Paper
RICH: Robust Implicit Clothed Humans Reconstruction from Multi-scale Spatial Cues
The pixel-aligned implicit functions (IFs) enable the reconstruction of 3D human with complete and detailed clothing from a single RGB image. To enhance robustness for poses, existing work introduce the parame...
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Chapter and Conference Paper
Embedded Computing Course Design for Internet of Things and Smart Things Applications
With the rapid advancement of IoT technology, IoT education has emerged as a new challenge in university education. A course named “Smart Hardware and Intelligent Systems” is designed to target for undergradua...
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Chapter and Conference Paper
Optimization Scheduling Algorithm of Logistics Distribution Vehicles Based on Internet of Vehicles Platform
In the phase of logistics distribution vehicle scheduling, the distribution time and travel distance of vehicles are relatively long due to the influence of the real-time change attribute characteristics of th...
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Chapter and Conference Paper
Boundary Guided Feature Fusion Network for Camouflaged Object Detection
Camouflaged object detection (COD) refers to the process of detecting and segmenting camouflaged objects in an environment using algorithmic techniques. The intrinsic similarity between foreground objects and ...
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Chapter and Conference Paper
Suzhou Garden Dynamic Image Design Based on Digital Media Programming and Sound Visualization
As an outstanding representative of traditional Chinese garden art, Suzhou gardens are treasures of human culture. However, its interaction width and depth of dissemination in the international arena still nee...
