13 Result(s)
within
Hong-Bo Zhang
Computer Science
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Article
Short-term path signature for skeleton-based action recognition
Skeleton-based action recognition (SBAR) is an important task in the field of computer vision. Learning effective action representations from skeleton sequences and improving the performance of action recognit...
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Article
Effective skeleton topology and semantics-guided adaptive graph convolution network for action recognition
Most of the existing graph convolutional network-based action recognition methods use an adaptive mechanism to learn action features from a skeleton sequence. Although this mechanism improves the recognition a...
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Article
Label-reconstruction-based pseudo-subscore learning for action quality assessment in sporting events
Most existing action quality assessment (AQA) methods provide only an overall quality score for the input video and lack an evaluation of each substage of the movement process; thus, these methods cannot provi...
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Article
Pose attention and object semantic representation-based human-object interaction detection network
Human-object interaction (HOI) detection is a core problem in human-centric scene understanding, which is devoted to inferring triplets < human, verb, object > between humans and objects. Previous works mainly...
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Chapter and Conference Paper
Pairwise Contrastive Learning Network for Action Quality Assessment
Considering the complexity of modeling diverse actions of athletes, action quality assessment (AQA) in sports is a challenging task. A common solution is to tackle this problem as a regression task that map th...
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Article
RGB+2D skeleton: local hand-crafted and 3D convolution feature coding for action recognition
Most 3D skeleton feature-based human action recognition methods are sensitive to changes in viewpoints, motion scales, and human scales. In addition, acquiring depth information from a real scene in outdoor en...
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Chapter and Conference Paper
Periodic Action Temporal Localization Method Based on Two-Path Architecture for Product Counting in Sewing Video
Automatically product counting in the handmade process plays a vital role in the manufacturing industry, especially at the sewing industry. Nevertheless, there is currently a few methods to count the product n...
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Article
Following event detection method based on human skeleton motion analysis by Kinect sensor
Detecting following events is important for intelligent video surveillance systems, especially at secure entrances. However, there is no effective approach for recognizing following actions. In this paper, we ...
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Chapter and Conference Paper
Fine-Grained Recognition of Vegetable Images Based on Multi-scale Convolution Neural Network
In recent years, deep learning has been widely used in various computer vision tasks. Because the task of solving vegetable pictures are different in the local critical areas, and solving the classification o...
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Chapter and Conference Paper
Fast Significant Matches of Position Weight Matrices Based on Diamond Sampling
Position weight matrices are important method for modeling signals or motifs in biological sequences, both in DNA and protein contexts. In this paper, we present techniques for increasing the speed of sequence...
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Article
Locating and recognizing multiple human actions by searching for maximum score subsequences
Despite the numerous methods to recognize human actions in a video, few are designed for videos containing more than one action over a certain time period. Moreover, existing multiple action recognition method...
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Article
Adaptive photograph retrieval method
Access to electronic books, electronic journals, and web portals, which may contain graphics (drawings or diagrams) and images, is now ubiquitous. However, users may have photographs that contain graphics or i...
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Chapter and Conference Paper
Wavelet Analysis in the Application of Rotor Flowmeter Reading
Different from traditional spatial or frequency domain image denoising and image enhancement method, discussed the characteristics of rotor flowmeter image, then tried to use the wavelet denoising and wavelet ...
