Search Results - "Wei, Yingmei"
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Hybrid attentive prototypical network for few-shot action recognition
Published in Complex & intelligent systems (01-12-2024)“…Most previous few-shot action recognition works tend to process video temporal and spatial features separately, resulting in insufficient extraction of…”
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2
Traffic Prediction with Self-Supervised Learning: A Heterogeneity-Aware Model for Urban Traffic Flow Prediction Based on Self-Supervised Learning
Published in Mathematics (Basel) (01-05-2024)“…Accurate traffic prediction is pivotal when constructing intelligent cities to enhance urban mobility and to efficiently manage traffic flows. Traditional deep…”
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CoLM2S: Contrastive self‐supervised learning on attributed multiplex graph network with multi‐scale information
Published in CAAI Transactions on Intelligence Technology (01-12-2023)“…Contrastive self‐supervised representation learning on attributed graph networks with Graph Neural Networks has attracted considerable research interest…”
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4
Exploring better image captioning with grid features
Published in Complex & intelligent systems (01-06-2024)“…Nowadays, Artificial Intelligence Generated Content (AIGC) has shown promising prospects in both computer vision and natural language processing communities…”
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How to improve tourists’ trust in official tourism destination websites in China—an empirical research based on CV and PASP
Published in Humanities & social sciences communications (20-06-2024)“…Abstract An increasing number of Chinese tourists exhibit reluctance in trusting and using Official Tourism Destination Websites (OTDWs). To address this…”
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6
Fusing Sorted Random Projections for Robust Texture and Material Classification
Published in IEEE transactions on circuits and systems for video technology (01-03-2015)“…This paper presents a conceptually simple, and robust, yet highly effective, approach to both texture classification and material categorization. The proposed…”
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Attributed Graph Embedding with Random Walk Regularization and Centrality-Based Attention
Published in Mathematics (Basel) (01-04-2023)“…Graph-embedding learning is the foundation of complex information network analysis, aiming to represent nodes in a graph network as low-dimensional dense…”
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Inhibition of glycolysis ameliorate arthritis in adjuvant arthritis rats by inhibiting synoviocyte activation through AMPK/NF-кB pathway
Published in Inflammation research (01-06-2020)“…Objective This study aimed to evaluate glycolysis inhibitor which can effectively ameliorate arthritis by inhibiting synoviocyte activation through AMPK/NF-кB…”
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Node Classification in Attributed Multiplex Networks Using Random Walk and Graph Convolutional Networks
Published in Frontiers in physics (26-01-2022)“…Node classification, as a central task in the graph data analysis, has been studied extensively with network embedding technique for single-layer graph…”
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Study on Visual Techniques of Potential Pattern Discovery for Time Series Data
Published in MATEC web of conferences (01-01-2018)“…Sequential pattern mining is always a very important branch of time series data mining. The pattern mining with visual means can be used to extract the…”
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Journal Article Conference Proceeding -
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Inhibitory effects of 3-bromopyruvate in human nasopharyngeal carcinoma cells
Published in Oncology reports (01-10-2015)“…Tumor cells depend on aerobic glycolysis for adenosine triphosphate (ATP) production, which is therefore targeted by therapeutic agents. The compound…”
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Interactive Details on Demand Visual Analysis on Large Attributed Networks
Published in Chinese Journal of Electronics (01-09-2018)“…Increasing scale leaves a challenging problem for visualizing large attributed networks. This paper proposes a details on demand approach for exploratory…”
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Combining Convolutional Neural Network and Photometric Refinement for Accurate Homography Estimation
Published in IEEE access (2019)“…Homography estimation refers to the problem of computing a <inline-formula> <tex-math notation="LaTeX">3\times 3 </tex-math></inline-formula> matrix which…”
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CFAM: Estimating 3D Hand Poses from a Single RGB Image with Attention
Published in Applied sciences (01-01-2020)“…Precise 3D hand pose estimation can be used to improve the performance of human–computer interaction (HCI). Specifically, computer-vision-based hand pose…”
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Research on Gesture Recognition Method Based on Computer Vision
Published in MATEC web of conferences (01-01-2018)“…Gesture recognition is an important way of human-computer interaction. With time going on, people are no longer satisfied with gesture recognition based on…”
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Journal Article Conference Proceeding -
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BRINT: A binary rotation invariant and noise tolerant texture descriptor
Published in 2013 IEEE International Conference on Image Processing (01-09-2013)“…Local Binary Pattern (LBP) and its variants are effective and popular descriptors for texture classification. Most LBP like descriptors have disadvantages…”
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Conference Proceeding -
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EntroCap: Zero-shot image captioning with entropy-based retrieval
Published in Neurocomputing (Amsterdam) (01-01-2025)“…State-of-the-art image captioning often relies on supervised models trained on domain-specific image–text pairs, which can be expensive and time-consuming to…”
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Emergence of collective adaptive response based on visual variation
Published in Information sciences (01-01-2024)Get full text
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Dual adaptive learning multi-task multi-view for graph network representation learning
Published in Neural networks (01-05-2023)“…Graph network analysis, which achieves widely application, is to explore and mine the graph structure data. However, existing graph network analysis methods…”
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The emergence of collective obstacle avoidance based on a visual perception mechanism
Published in Information sciences (01-01-2022)“…Coordinated and ordered collective behaviors that emerge from decentralized and local self-organizing interactions among individuals widely exists in many…”
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