34,552 Result(s)
within
Lu**g Chen
Computer Science
English
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Article
A deep neural network for hand gesture recognition from RGB image in complex background
Deep learning research has gained significant popularity recently, finding applications in various domains such as image preprocessing, segmentation, object recognition, and semantic analysis. Deep learning ha...
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Article
A positional-aware attention PCa detection network on multi-parametric MRI
Prostate cancer (PCa) is the most prevalent cancer among the males. PCa detection based on multi-parametric magnetic resonance imaging (mpMRI) can provide precise target points for puncture robots to enhance t...
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Article
Research on variational optical flow method for rockfall monitoring
Rockfall is a global mountain disaster problem, which has the characteristics of wide distribution, strong randomness, and inconspicuousness. The contacted monitoring method is difficult to deploy. Simultaneou...
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A new virtual interpolation technology with range as object
Virtual interpolation technology can be applied to direction-of-arrival (DOA) estimation as a preprocessing technique to achieve the DOA estimation for any array. In order to solve the angle-sensitive problem ...
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Article
HyperTuner: a cross-layer multi-objective hyperparameter auto-tuning framework for data analytic services
Hyperparameters optimization (HPO) is vital for machine learning models. Besides model accuracy, other tuning intentions such as model training time and energy consumption are also worthy of attention from dat...
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Article
TAENet: transencoder-based all-in-one image enhancement with depth awareness
Recently, CNN-based all-in-one image enhancement methods have been proposed to solve multiple image degradation tasks. However, these CNN-based methods usually have two limitations. One limitation is that they...
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Article
ACANet: attention-based context-aware network for infrared small target detection
Small infrared targets in complex backgrounds are easily obscured by a large amount of clutter, so highly discriminative features are needed to distinguish them from the cluttered background. Even if the expan...
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Article
Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers
Unsupervised cross-modal hashing (UCMH) has been commonly explored to support large-scale cross-modal retrieval of unlabeled data. Despite promising progress, most existing approaches are developed on convolut...
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Article
Open AccessDomain Generalization with Small Data
In this work, we propose to tackle the problem of domain generalization in the context of insufficient samples. Instead of extracting latent feature embeddings based on deterministic models, we propose to learn a...
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Multistep traffic speed prediction from multiple time-scale spatiotemporal features using graph attention network
Traffic forecasting using deep learning represents a crucial aspect of intelligent transportation systems, carrying substantial implications for congestion reduction and efficient route planning. Despite its s...
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Article
Clustering-assisted gradient-based optimizer for scheduling parallel cloud workflows with budget constraints
Cloud computing has gradually become one of the most popular platforms for executing scientific applications due to its elastic and on-demand resource provisional capabilities. But, how to effectively schedule...
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Article
Stone segmentation based on improved U-Net network
In the contemporary stone aggregate industry and regulatory environment, there is a pressing need for a method that can quickly and efficiently calculate the average particle size of a batch of stones. The tra...
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Article
TS-Finder: privacy enhanced web crawler detection model using temporal–spatial access behaviors
Web crawler detection is critical for preventing unauthorized extraction of valuable information from websites. Current methods rely on heuristics, leading to time-consuming processes and inability to detect n...
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Article
A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems
Knowledge about the own pose is key for all mobile robot applications. Thus pose estimation is part of the core functionalities of mobile robots. Over the last two decades, LiDAR scanners have become the stand...
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Article
Attention-based misaligned spatiotemporal auto-encoder for video anomaly detection
To face the shortcomings of the auto-encoder (AE) algorithm in terms of weak dynamic object extraction and strong reconstruction ability in abnormal situations for video anomaly detection, an attention-based m...
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Article
Small target detection in drone aerial images based on feature fusion
The use of object detection technology in unmanned aerial vehicles is a crucial area of research in computer vision. Aerial images captured by drones exhibit differences in object shape and size compared to tr...
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Article
Estimation of Near-Instance-Level Attribute Bottleneck for Zero-Shot Learning
Zero-Shot Learning (ZSL) involves transferring knowledge from seen classes to unseen classes by establishing connections between visual and semantic spaces. Traditional ZSL methods identify novel classes by cl...
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Article
ReliTalk: Relightable Talking Portrait Generation from a Single Video
Recent years have witnessed great progress in creating vivid audio-driven portraits from monocular videos. However, how to seamlessly adapt the created video avatars to other scenarios with different backgroun...
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Article
Open AccessTraining Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer
Modeling in computer vision has long been dominated by convolutional neural networks (CNNs). Recently, in light of the excellent performance of self-attention mechanism in the language field, transformers tail...
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Article
A scientometric review of medical flexible needle systems in surgery: signal processing, navigation and control
Flexible needle systems showing multiple advantages in various medical scenarios, characterized by their flexibility, ease of operation, adaptable control and navigation capabilities. This paper presents a sci...
