434 Result(s)
within
English
Computer Science
Artificial Intelligence
Dong-**ng Wang
-
Article
Open AccessReview of few-shot learning application in CSI human sensing
Wi-Fi sensing has garnered increasing interest for its significant advantages, primarily leveraging Wi-Fi signal fluctuations induced by human activities and advanced neural network algorithms. However, its ap...
-
Article
JointMETRO: a 3D reconstruction model for human figures in works of art based on transformer
Sculptures and paintings are an important part of our cultural heritage, and 3D reconstruction of the human in them can help us better preserve and inherit this heritage. By creating 3D models of sculptures an...
-
Article
Optimization of complex surface milling parameters based on HSS-MFM and OBL-NSGA-II
Complex curved parts are widely used in some critical engineering equipment with high service performance, but machining such parts in computer numerical control (CNC) often has a series of problems such as un...
-
Article
Person re-identification method based on fine-grained feature fusion and self-attention mechanism
Aiming at the problem of low accuracy of person re-identification (Re-ID) algorithm caused by occlusion, low distinctiveness of person features and unclear detail features in complex environment, we propose a ...
-
Article
A Universal Event-Based Plug-In Module for Visual Object Tracking in Degraded Conditions
Most existing trackers based on RGB/grayscale frames may collapse due to the unreliability of conventional sensors in some challenging scenarios (e.g., motion blur and high dynamic range). Event-based cameras ...
-
Article
Open AccessMulti-modal visual tracking: Review and experimental comparison
Visual object tracking has been drawing increasing attention in recent years, as a fundamental task in computer vision. To extend the range of tracking applications, researchers have been introducing informati...
-
Article
DFC-dehaze: an improved cycle-consistent generative adversarial network for unpaired image dehazing
Recently, cycle-consistent adversarial network (CycleGAN) has been utilized in image dehazing tasks due to train without paired images. However, the quality of generated dehazed images is low. To enhance the d...
-
Article
BNN-SAM: Improving generalization of binary object detector by Seeking Flat Minima
Binary Neural Network (BNN) exhibits substantial potential for low-cost and energy-efficient deployment, notably in the application of BNN-facilitated object detection on embedded devices. Despite its high com...
-
Article
Open AccessTemporally consistent video colorization with deep feature propagation and self-regularization learning
Video colorization is a challenging and highly ill-posed problem. Although recent years have witnessed remarkable progress in single image colorization, there is relatively less research effort on video colori...
-
Article
Open AccessUsing a virtual reality interview simulator to explore factors influencing people’s behavior
Virtual reality interview simulator (VRIS) is an effective and valid tool that uses virtual reality technology to train people’s interview skills. Typically, it offers candidates prone to being very nervous du...
-
Article
Adaptive prescribed performance control for state constrained stochastic nonlinear systems with unknown control direction: a novel network-based approach
In this paper, the tracking control problem of the state constrained stochastic nonlinear systems with unknown control direction is studied, and a novel adaptive prescribed performance control (PPC) approach i...
-
Chapter and Conference Paper
Enhanced Featurization of Queries with Interval Density Encoding
Learning-based cardinality estimation methods outperform traditional methods by effectively overcoming strong assumptions(attribute value independence and uniform distribution). Existing learning-based methods...
-
Chapter and Conference Paper
A Low-Latency Hardware Accelerator for YOLO Object Detection Algorithms
Object detection is an important computer vision task with a wide range of applications, including autonomous driving, smart security, and other domains. However, the high computational requirements poses chal...
-
Chapter and Conference Paper
Study on the Genetic Links Between Type 2 Diabetes Mellitus and Glioma by Bioinformatics
Diabetes will increase the risk of most cancers, such as pancreatic, breast and prostate cancer. However, some studies showed patients with diabetes are less susceptible to glioma than the people with normal b...
-
Chapter and Conference Paper
Accelerated Lifetime Experiment of Maximum Current Ratio Based on Charge and Discharge Capacity Confinement
Lithium-ion batteries will undergo continuous aging during the process of charging and discharging. Charging and discharging cycle conditions for lithium-ion batteries are usually an important method to detect...
-
Article
End-to-end acceleration of the YOLO object detection framework on FPGA-only devices
Object detection has been revolutionized by convolutional neural networks (CNNs), but their high computational complexity and heavy data access requirements make implementing these algorithms on edge devices c...
-
Article
On evaluation trials in speaker verification
Evaluation trials are crucial to measure performance of speaker verification systems. However, the design of trials that can faithfully reflect system performance and accurately distinguish between different s...
-
Chapter and Conference Paper
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection
Infrared small-dim object detection is a challenging task due to the small size, weak features, lack of prominent structural information, and vulnerability to background interference. During the process of dee...
-
Chapter and Conference Paper
Intelligent Cooperative Routing for Services in Computing Integration Networking
With the widespread application of cloud computing and edge computing, achieving optimal allocation of computing resources in a heterogeneous network environment has become a key issue. The objective of this c...
-
Chapter and Conference Paper
Blockchain Scam Detection: State-of-the-Art, Challenges, and Future Directions
With the rapid development of blockchain platforms, such as Ethereum and Hyperledger Fabric, blockchain technology has been widely applied in various domains. However, various scams exist in the cryptocurrency...
