52,519 Result(s)
within
**-** Wang
Computer Science
English
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Article
A new uncertainty processing method for trajectory prediction
In many domains, trajectory prediction a crucial task. Uncertain information, such as complementary and correlated information between multiple features, complex interactive information, weather and temperatur...
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Research on water level measurement technology based on the residual length ratio of image characters
Aiming at the low efficiency and poor adaptability of traditional water level measurement methods, a water level measurement technology based on the residual length ratio of image characters is proposed in thi...
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A lightweight road crack detection algorithm based on improved YOLOv7 model
Road crack detection plays a crucial role in protecting road safety. However, early manual detection is not only time-consuming and laborious but also highly inefficient. Although existing road inspection vehi...
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MS-HRNet: multi-scale high-resolution network for human pose estimation
Human pose estimation has important applications in medical diagnosis (such as early diagnosis of autism in children and assisting with the diagnosis of Parkinson’s disease), human-computer interaction, animat...
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A learning-based efficient query model for blockchain in internet of medical things
This paper proposes a learning-based model for the resource-constrained edge nodes in the blockchain-enabled Internet of Medical Things (IoMT) systems to realize efficient querying. Three layers are designed i...
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LGAFormer: transformer with local and global attention for action detection
Temporal action detection is a very important task in video understanding, aiming at predicting the start and end time boundaries of all action instances in an unedited video and their action classification. T...
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Patchlpr: a multi-level feature fusion transformer network for LiDAR-based place recognition
LiDAR-based place recognition plays a crucial role in autonomous vehicles, enabling the identification of locations in GPS-invalid environments that were previously accessed. Localization in place recognition ...
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PMENet: a parallel UNet based on the fusion of multiple attention mechanisms for road crack segmentation
The presence of road cracks significantly impacts both traffic safety and road maintenance. Therefore, accurate detection of road cracks plays a crucial role in road maintenance and management. This study focu...
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Attention-driven residual-dense network for no-reference image quality assessment
With the rapid development of deep learning, convolutional neural networks have been applied to no-reference image quality assessment (NR-IQA), but most methods focus on the design of complex networks, which n...
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Towards stronger illumination robustness of local feature detection and description based on auxiliary learning
Local feature detection and description play a crucial role in various computer vision tasks, including image matching. Variations in illumination conditions significantly affect the accuracy of these applicat...
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Article
Open AccessIntelligent detection method of microparticle virus in silkworm based on YOLOv8 improved algorithm
The presence of microparticle viruses significantly impacts the quality of silkworm seeds for domestic sericulture, making their exclusion from detection in silkworm seed production crucial. Traditional method...
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Article
TAENet: transencoder-based all-in-one image enhancement with depth awareness
Recently, CNN-based all-in-one image enhancement methods have been proposed to solve multiple image degradation tasks. However, these CNN-based methods usually have two limitations. One limitation is that they...
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Article
Probabilistic load forecasting based on quantile regression parallel CNN and BiGRU networks
In the dynamic smart grid landscape, accurate probabilistic forecasting of electric load is critical. This paper presents a novel 24-hour-ahead probabilistic load forecasting model by integrating quantile regr...
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Article
Mind-bridge: reconstructing visual images based on diffusion model from human brain activity
Human brain vision is mysterious and complex, and it interprets the world through the connection between the brain and the eyes. In recent years, several methods have relied on fMRI to successfully reconstruct...
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Msap: multi-scale attention probabilistic network for underwater image enhancement network
Underwater image enhancement is a key technology for improving underwater image quality and enhancing visualization. Due to the light propagation characteristics and absorption scattering by water bodies in un...
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Effective polarization-based image dehazing through 3D convolution network
The presence of numerous microscopic particles within haze contributes to the scattering of atmospheric light, leading to a notable degradation in the quality of captured images. Polarization, an intrinsic att...
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A multi-scale feature extraction and fusion method for bearing fault diagnosis based on hybrid attention mechanism
Bearing failure is one of the most common failures in rotating mechanical. Therefore, rapid and accurate diagnosis of bearing faults is of great significance for ensuring the reliability of equipment. In recen...
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Article
Source bias reduction for source-free domain adaptation
Source-free domain adaptation (SFDA) mainly aims to the problem of not being able to access the source domain data during the model migration process. Although significant breakthroughs have been achieved, the...
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Article
Order structure analysis of node importance based on the temporal inter-layer neighborhood homogeneity rate of the dynamic network
The analysis of node order structure in dynamic temporal networks is significant for network propagation control. To further accurately characterize the inter-layer coupling relationship of dynamic temporal ne...
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Emotion recognition with attention mechanism-guided dual-feature multi-path interaction network
Electroencephalography (EEG)-based emotion recognition has gained widespread attention recently. Although many deep learning methods have been proposed, it is still challenging to simultaneously fuse informati...
