88 Result(s)
within
Dong-**ng Wang
English
Special Purpose and Application-Based Systems
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Article
A robust visual SLAM system for low-texture and semi-static environments
Precisely estimating a vehicle’s pose in a prior map is a fundamental capability for autonomous driving. This task, however, remains challenging in low-texture and semi-static environments where the number of ...
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Article
CANet: cross attention network for food image segmentation
Food image segmentation which aims to distinguish various ingredients is crucial for food safety, as estimating calories and other nutrients is important for human health and sustainable development. However, ...
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Article
Adaptive interactive network for RGB-T salient object detection with double map** transformer
The purpose of RGB-Thermal salient object detection (RGB-T SOD) is to segment the common salient objects or regions of the visible light image and the corresponding thermal-infrared image. Thermal-infrared inf...
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Article
Open AccessFrom data to insights: the application and challenges of knowledge graphs in intelligent audit
In recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning, legal research, and financial analysis. In traditional auditin...
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Article
EACT-Det: An Efficient Adjusting Criss-cross windows Transformer Embedding Pyramid Networks for Similar Disease Detection
The difficulty of crop disease detection lies in the variation in light, background, similar symptoms and the serious problem of multiple diseases overlap** due to shading, etc., posing a great challenge to ...
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Article
MP-Abr: a framework for intelligent recognition of abnormal behaviour in multi-person scenarios
Normal behavior is usually more common than abnormal behavior, leading to the problem of category imbalance in the dataset. This can lead to models being biased towards normal behaviors that are easier to iden...
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Article
A (t, n) threshold quantum image secret sharing scheme
In this paper, a (t, n) threshold quantum image secret sharing scheme based on combination theory is proposed. Here, the threshold t is a constant number that should satisfy the condition
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Article
Compressed sensing based visually secure multi-secret image encryption-sharing scheme
The existing encryption schemes of visually secure image have drawbacks, such as excessive concentration of image data and insufficient resistance to various attacks in the transmission channel. Based on the c...
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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...
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Article
A contrastive learning-based iterative network for remote sensing image super-resolution
Many deep convolutional neural network(CNN)-based methods have achieved significant success in noise-free image super-resolution(SR) tasks. However, these methods produce unsatisfactory results for noisy remot...
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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...
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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...
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Chapter and Conference Paper
Decoupled 2S-AGCN Human Behavior Recognition Based on New Partition Strategy
Human skeleton point data has better environmental adaptability and motion expression ability than RGB video data. Therefore, the action recognition algorithm based on skeletal point data has received more and...
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Article
Human pose estimation for low-resolution image using 1-D heatmaps and offset regression
Running a reliable network on resource-limited platforms for a low-resolution image is a great challenge for heatmap-based human pose estimation (HPE). Scale mismatch between the input image and heatmaps and t...
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Chapter and Conference Paper
The Tenth Visual Object Tracking VOT2022 Challenge Results
The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published...
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Chapter and Conference Paper
A Multi-level Parallel Integer/Floating-Point Arithmetic Architecture for Deep Learning Instructions
The extensive instruction-set for deep learning (DL) significantly enhances the performance of general-purpose architectures by exploiting data-level parallelism. However, it is challenging to design arithmeti...
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Chapter and Conference Paper
Low-hysteresis Flexible Strain Sensors Based on Liquid Metal for Human-Robot Interaction
Flexible strain sensors have aroused great interest in the fields of human-machine interaction, human motion detection, and wearable devices. However, develo** flexible strain sensors with low hysteresis, la...
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Chapter and Conference Paper
Efficient Visual Tracking via Hierarchical Cross-Attention Transformer
In recent years, target tracking has made great progress in accuracy. This development is mainly attributed to powerful networks (such as transformers) and additional modules (such as online update and refinem...
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Chapter and Conference Paper
DeTAR: A Decision Tree-Based Adaptive Routing in Networks-on-Chip
The deployment of heuristic algorithms is extensively utilized in the routing policy of Networks-on-Chip (NoCs). However, the escalating complexity and heterogeneity of multi-core architectures present a formi...
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Chapter and Conference Paper
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
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...
