GLFNet: Attention Mechanism-Based Global–Local Feature Fusion Network for Micro-Expression Recognition [PDF]
EntropyMicro-expressions are extremely subtle and short-lived facial muscle movements that often reveal an individual’s genuine emotions. However, micro-expression recognition (MER) remains highly challenging due to its short duration, low motion intensity, and
Meng Zhang +3 more
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Novel 3D local feature descriptor of point clouds based on spatial voxel homogenization for feature matching [PDF]
Visual Computing for Industry, Biomedicine, and Art, 2023 Obtaining a 3D feature description with high descriptiveness and robustness under complicated nuisances is a significant and challenging task in 3D feature matching.
Jiong Yang +3 more
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Research on Vehicle Re-Identification Algorithm Based on Fusion Attention Method
Applied Sciences, 2023 The specific task of vehicle re-identification is how to quickly and correctly match the same vehicle in different scenarios. In order to solve the problem of inter-class similarity and environmental interference in vehicle images in complex scenes, one ...
Peng Chen, Shuang Liu, Simon Kolmanič
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Parallel Multi-Head Graph Attention Network (PMGAT) Model for Human-Object Interaction Detection
IEEE Access, 2023 Human-object interaction (HOI) detection is an advanced task in the field of computer vision and is crucial for deep scene understanding. However, current HOI detection models face serious challenges in the following aspects: first, they overly rely on ...
Jiali Zhang +2 more
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Restoration of Individual Tree Missing Point Cloud Based on Local Features of Point Cloud
Remote Sensing, 2022 LiDAR (Light Detection And Ranging) technology is an important means to obtain three-dimensional information of trees and vegetation. However, due to the influence of scanning mode, environmental occlusion and mutual occlusion between tree canopies and ...
Wei Cao, Jiayi Wu, Yufeng Shi, Dong Chen
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Sensors, 2021 Finding the news of same case from the large numbers of case-involved news is an important basis for public opinion analysis. Existing text clustering methods usually based on topic models which only use topic and case infomation as the global features ...
Cunli Mao +4 more
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Learning Visible Thermal Person Re-Identification via Spatial Dependence and Dual-Constraint Loss
Entropy, 2022 Visible thermal person re-identification (VT Re-ID) is the task of matching pedestrian images collected by thermal and visible light cameras. The two main challenges presented by VT Re-ID are the intra-class variation between pedestrian images and the ...
Chuandong Wang +4 more
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PTRNet: Global Feature and Local Feature Encoding for Point Cloud Registration
Applied Sciences, 2022 Existing end-to-end cloud registration methods are often inefficient and susceptible to noise. We propose an end-to-end point cloud registration network model, Point Transformer for Registration Network (PTRNet), that considers local and global features ...
Cuixia Li +4 more
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A Part-based Deep Learning Network for identifying individual crabs using abdomen images
Frontiers in Marine Science, 2023 Crabs, such as swimming crabs and mud crabs, are famous for their high nutritional value but are difficult to preserve. Thus, the traceability of crabs is vital for food safety.
Chenjie Wu +9 more
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Shape optimization of a flexible beam with a local shape feature based on ANCF
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2019 This paper proposes a shape optimization method of local shape features on a flexible beam modeled with the absolute nodal coordinate formulation (ANCF).
Gang HE +4 more
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