89 Result(s)
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English
Computer Science
Artificial Intelligence
Zhigang **
Article
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Article
Agent-based crowd simulation: an in-depth survey of determining factors for heterogeneous behavior
In recent years, the field of crowd simulation has experienced significant advancements, attributed in part to the improvement of hardware performance, coupled with a notable emphasis on agent-based characteri...
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Open AccessNoise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtai...
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Article
Dual-stage temporal perception network for continuous sign language recognition
Continuous sign language recognition (CSLR) aims to identify a sequence of glosses from a sign language video with only a sentence-level label provided in a weakly supervised way. In sign language videos, the ...
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Masked self-supervised ECG representation learning via multiview information bottleneck
In recent years, self-supervised learning-based models have been widely used for electrocardiogram (ECG) representation learning. However, most of the models utilize contrastive learning that strongly depend o...
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Multi-level relation learning for cross-domain few-shot hyperspectral image classification
Cross-domain few-shot hyperspectral image classification focuses on learning prior knowledge from a large number of labeled samples from source domains and then transferring the knowledge to the tasks which co...
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Image-only place recognition based on regional aggregating ConvNet features for underground parking lots
Place recognition searches the closest map node to the query node, which is an important task for vehicle localization. Traditional visual place recognition methods for underground parking lots require the dep...
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Learning facial expression-aware global-to-local representation for robust action unit detection
The task of detecting facial action units (AU) often utilizes discrete expression categories, such as Angry, Disgust, and Happy, as auxiliary information to enhance performance. However, these categories are u...
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Open AccessFuzzy-based indoor scene modeling with differentiated examples
Well-designed indoor scenes incorporate interior design knowledge, which has been an essential prior for most indoor scene modeling methods. However, the layout qualities of indoor scene datasets are often une...
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AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation
The recognition and detection of unmanned aerial vehicles (UAV) usually face the difficulty of insufficient samples. Given a limited number of real UAV images, it is a challenging task to generate virtual UAV ...
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Data representation learning via dictionary learning and self-representation
Dictionary learning is an effective feature learning method, leading to many remarkable results in data representation and classification tasks. However, dictionary learning is performed on the original data r...
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Graph-aware transformer for skeleton-based action recognition
Recently, graph convolutional networks (GCNs) play a critical role in skeleton-based human action recognition. However, most GCN-based methods still have two main limitations: (1) The semantic-level adjacency ...
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Novel fixed-time stability criteria of nonlinear systems and applications in fuzzy competitive neural network and Chua’s oscillator
Since the fixed-time stability forms of nonlinear systems satisfy strict conditions, there are few general forms for nonlinear systems to achieve fixed-time stability. This work proposes a new class of more ge...
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Flow-pose Net: an effective two-stream network for fall detection
Aging society gives rise to the need of fall detection for the elderly. The interference of the environmental noise and the loss of motion information causing fall detection still challenging. In this work, we...
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RSMNet: A Regional Similar Module Network for Weakly Supervised Object Localization
Weakly-supervised object detection (WSOD) has attracted many people's attention because it can reduce labor and time-consuming, and some bias or errors caused by the subjectivity of annotators. As a key step o...
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Optical flow for video super-resolution: a survey
Video super-resolution is currently one of the most active research topics in computer vision as it plays an important role in many visual applications. Generally, video super-resolution contains a significant...
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Simplified-Boosting Ensemble Convolutional Network for Text Classification
Graph convolutional network (GCN) has a strong ability to extract the global feature but neglects the order of the words, thus leading to its weak effect on short text classification. In contrast, convolutiona...
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Post-processing method with aspect term error correction for enhancing aspect term extraction
Aspect Term Extraction (ATE), which aims to extract aspect terms from review sentences, is an important subtask of sentiment analysis. Existing studies have proposed many sequence taggers, which have achieved ...
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When CCN meets MCGDM: optimal cache replacement policy achieved by PRSRV with Pythagorean fuzzy set pair analysis
Cache replacement policy (CRP) in content-centric network (CCN) can reduce cache redundancy, optimize cache utility, and improve network performance. When assessing the CRPs in CCN, it is often full of great u...
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Imbalanced Heart Sound Signal Classification Based on Two-Stage Trained DsaNet
Many deaths are caused by heart disease. A phonocardiogram (PCG) reflects the general rule of heart movement, so the analysis of heart sound signals is particularly important. In this paper, we propose a new d...
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Social Media Sentiment Analysis Based on Dependency Graph and Co-occurrence Graph
In recent years, research of social text sentiment analysis has progressed rapidly, but the existing methods usually use the single feature for text representation and fail to make full use of potential featur...
