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2,430 Result(s)
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Article
Open AccessUsability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Manual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such operations. In this study, we investigate whether detailed v...
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DTS: dynamic training slimming with feature sparsity for efficient convolutional neural network
Deep convolutional neural networks have achieved remarkable progress on computer vision tasks over last years. In this paper, we proposed a dynamic training slimming with feature sparsity based on structured p...
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Open AccessOmni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray ima...
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Real-time water surface target detection based on improved YOLOv7 for Chengdu Sand River
It has been a challenge to obtain accurate detection results in a timely manner when faced with complex and changing surface target detection. Detecting targets on water surfaces in real-time can be challengin...
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An improved multi-scale and knowledge distillation method for efficient pedestrian detection in dense scenes
Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision. Existing approaches often address detection leakage by enhancing mo...
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Open AccessNon-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate ...
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MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photographs, affecting the photographs’ visual quality. The main challenge in flare removal is to elimi...
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Transmission-guided multi-feature fusion Dehaze network
Image dehazing is an important direction of low-level visual tasks, and its quality and efficiency directly affect the quality of high-level visual tasks. Therefore, how to quickly and efficiently process hazy...
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Real-time salient object detection based on accuracy background and salient path source selection
Boundary and connectivity prior are common methods for detecting the image salient object. They often address two problems: 1) if the salient object touches the image boundary, the saliency of the object will ...
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Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Low-light images suffer from low contrast and low dynamic range. However, most existing single-frame low-light image enhancement algorithms are not good enough in terms of detail preservation and color express...
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Open AccessFew-shot anime pose transfer
In this paper, we propose a few-shot method for pose transfer of anime characters—given a source image of an anime character and a target pose, we transfer the pose of the target to the source character. Despi...
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Dual-mechanism surface tension model for SPH-based simulation
We present an innovative Lagrangian dual-mechanism model for simulating versatile surface tension phenomena, designed to replicate the intricate interplay of liquids with textured solid surfaces and the emerge...
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Open AccessShadow-aware image colorization
Significant advancements have been made in colorization in recent years, especially with the introduction of deep learning technology. However, challenges remain in accurately colorizing images under certain l...
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Refined tri-directional path tracing with generated light portal
The rendering efficiency of Monte Carlo path tracing often depends on the ease of path construction. For scenes with particularly complex visibility, e.g. where the camera and light sources are placed in separ...
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ParaLkResNet: an efficient multi-scale image classification network
Recently, deep neural networks have achieved remarkable results in computer vision tasks with the widely used visual attention mechanism. However, the introduction of the visual attention mechanism increases t...
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Safety helmet detection based on improved YOLOv7-tiny with multiple feature enhancement
Safety helmets are vital protective gear for construction workers, effectively reducing head injuries and safeguarding lives. By identification of safety helmet usage, workers’ unsafe behaviors can be detected...
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Open AccessShell stand: Stable thin shell models for 3D fabrication
A thin shell model refers to a surface or structure, where the object’s thickness is considered negligible. In the context of 3D printing, thin shell models are characterized by having lightweight, hollow stru...
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Robust point cloud normal estimation via multi-level critical point aggregation
We propose a multi-level critical point aggregation architecture based on a graph attention mechanism for 3D point cloud normal estimation, which can efficiently focus on locally important points during the fe...
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MCLGAN: a multi-style cartoonization method based on style condition information
Image cartoonization, a special kind of style transformation, is a challenging image processing task. Most existing cartoonization methods aim at single-style transformation. While multiple models are trained ...
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ZMNet: feature fusion and semantic boundary supervision for real-time semantic segmentation
Feature fusion module is an essential component of real-time semantic segmentation networks to bridge the semantic gap among different feature layers. However, many networks are inefficient in multi-level feat...