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Article
Multi-stream P&U adaptive graph convolutional networks for skeleton-based action recognition
In recent years, action recognition has been an essential branch of video understanding and a hot research direction. Among them, the graph convolutional network (GCN) is widely used in skeleton-based action r...
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Article
FF-PPQA: Face frontalization without glasses based on perceptual quality and pixel-level quality assessment
Face frontalization is the process of synthesizing realistic and identity-preserving frontal views from face images in different poses and is an essential preprocessing step for face recognition. However, for ...
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Article
A 4D strong spatio-temporal feature learning network for behavior recognition of point cloud sequences
Although the depth map sequence widely used in behavior recognition can provide depth information. However, depth pixels are not strongly correlated with each other, and the spatio-temporal structure informati...
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Article
Safety helmet wearing correctly detection based on capsule network
Construction workers protect themselves from accidental injury by wearing safety helmets correctly. The safety helmet wearing detection algorithms currently based on deep learning aim to solve the problem of w...
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Article
Face alignment combined with shape constraints and Gaussian heatmap
Face alignment is a hot topic in the field of computer vision because it is an important intermediate step in face recognition, 3D face reconstruction, etc. Its task is to locate the key parts of the human fac...
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Article
Multi-stage unsupervised fabric defect detection based on DCGAN
The diversity of fabric defects and the lack of defect samples make detecting fabric defects an important and challenging problem. Currently, unsupervised algorithms are widely used for surface defect detectio...
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Article
DIQA-FF:dual image quality assessment for face frontalization
Face frontalization is a process of synthesizing a realistic and identity-preserving face view from different face pose images. It is an essential preprocessing step for face recognition. As Generative Adversa...
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Article
Context receptive field and adaptive feature fusion for fabric defect detection
Textile defect detection is a key link in measuring textile quality. An accurate and efficient textile detection method is essential for textile production processes. In the textile production process, the pro...
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Article
Occlusion recovery face recognition based on information reconstruction
The face data in the wild have a face occlusion, complex background, and inestimable posture, leading to more sample classification errors. To alleviate the problem of face occlusion, we apply facial informati...
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Article
Robust face alignment via adaptive attention-based graph convolutional network
We address the problem of robust face alignment in the presence of occlusions, which remains a lingering problem in facial analysis despite intensive long-term studies. This paper proposes an adaptive attentio...
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Article
Multi-pose face reconstruction and Gabor-based dictionary learning for face recognition
Many methods based on data and model analysis have been proposed to overcome the adverse effect of poses, occlusion, and illumination on face recognition. Frontal face generation from multi-pose faces is still...
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Article
Low-rank decomposition fabric defect detection based on prior and total variation regularization
Low-rank decomposition model is widely used in fabric defect detection, where a feature matrix is decomposed into a low-rank matrix that represents defect-free regions of the image and a sparse matrix that rep...
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Article
Human action recognition based on enhanced data guidance and key node spatial temporal graph convolution
Graph convolutional networks have achieved remarkable performance in action recognition from skeleton videos. However, most of the existing GCN-based methods improve performance by increasing model parameters,...
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Article
Human action recognition based on 3D body mask and depth spatial-temporal maps
In this paper, a method based on depth spatial-temporal maps(DSTMs) is presented for human action recognition from depth video sequences, which provides compact global spatial and temporal information of human...
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Chapter and Conference Paper
Analysis of Gait Symmetry Under Unilateral Load State
Weight-bearing is a common daily behavior. The analysis of gait during weight-bearing walking is helpful to reveal the health status and pathological characteristics of the human body. The purpose of this pape...
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Article
Action recognition using weighted fusion of depth images and skeleton’s key frames
This paper presents a new method for human action recognition fusing depth images and skeletal maps. Each depth image is represented by 2D and 3D auto-correlation of gradients features. A feature using spatial...
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Article
Efficient numerical schemes for Chan-Vese active contour models in image segmentation
In this paper, we introduce multi-symplectic Lagrangian variational integrators for solving Chan-Vese active contour models in image segmentation. Energy functionals are discretized firstly, and numerical sche...
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Article
Adaptive face representation via class-specific and intra-class variation dictionaries for recognition
Face recognition has attracted extensive interests due to its wide applications. However, there are many challenges in the real world scenario. For example, relatively few samples are available for training. F...
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Article
A cue integration method for anaglyph image partition
Image content analysis is important for automated image organization, labeling, and search. Partitioning an image into meaningful regions is one of the fundamental problems in image analysis. Anaglyph images a...
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Article
Supervised bilateral two-dimensional locality preserving projection algorithm based on Gabor wavelet
Bilateral two-dimensional locality preserving projection (B2DLPP) is an effective method for unsupervised linear dimensionality reduction, which directly extracts face features from image matrices based on loc...
