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Article
Dynamic context-driven progressive image inpainting with auxiliary generative units
Image inpainting aims to restore missing or damaged regions of an image with plausible visual content. Most existing methods always face challenges when dealing with large hole images, such as structural disto...
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Article
Facial expression recognition based on local–global information reasoning and spatial distribution of landmark features
In the field of facial expression recognition (FER), two main trends point to the data-driven FER and feature-driven FER exist. The former focused on the data problems (e.g., sample imbalance and multimodal fu...
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Article
V \(^2\) MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition
Fine-grained 3D shape recognition (FGSR) is crucial for real-world applications. Existing methods face challenges in achieving high accuracy for FGSR due to high similarity within sub-categories and low dissim...
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Article
Open AccessJNeRF: An efficient heterogeneous NeRF model zoo based on Jittor
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Article
HF-SRGR: a new hybrid feature-driven social relation graph reasoning model
Social relations and interactions between persons form the foundation of human society. Effective recognition of social relationships has great potential for understanding and improving people’s psychology and...
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Article
Deep learning on digital mammography for expert-level diagnosis accuracy in breast cancer detection
Recently, computer-aided diagnosis (CAD) systems powered by deep learning (DL) algorithms have shown excellent performance in the evaluation of digital mammography for breast cancer diagnosis. However, such sy...
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Article
Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification
In this paper, a hierarchical learning algorithm based on the Bayesian Neural Network classifier with backtracking is proposed to support large-scale image classification, where a Visual Confusion Label Tree i...
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Article
Embedded real-time infrared and visible image fusion for UAV surveillance
Infrared and visible image fusion is a beneficial processing task for Unmanned Aerial Vehicle (UAV) surveillance, which can improve visibility by combining the advantages of the infrared camera and the visible...
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Article
A dedicated hardware accelerator for real-time acceleration of YOLOv2
In recent years, dedicated hardware accelerators for the acceleration of the convolutional neural network (CNN) have been extensively studied. Although many studies have presented efficient designs on FPGAs fo...
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Article
Open AccessA survey on deep geometry learning: From a representation perspective
Researchers have achieved great success in dealing with 2D images using deep learning. In recent years, 3D computer vision and geometry deep learning have gained ever more attention. Many advanced techniques f...
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Article
A code division multiplexing and block classification-based real-time reversible data-hiding algorithm for medical images
This paper proposes a novel reversible data hiding (RDH) scheme for medical image based on block classification and code division multiplexing (CDM) in frequency domain. In this scheme, the original medical im...
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Article
Accelerated image factorization based on improved NMF algorithm
Non-negative matrix factorization (NMF) is widely used in feature extraction and dimension reduction fields. Essentially, it is an optimization problem to determine two non-negative low rank matrices ...
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Article
Facial age estimation by using stacked feature composition and selection
In this paper we propose a novel hierarchical feature composition and selection model used in facial age estimation. In recent years, hierarchical architectures have been shown to outperform the flat structure...