14,303 Result(s)
within
**qi Zhou
Computer Science
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Article
Retraction Note: Mobile client data security storage protocol based on multifactor node evaluation
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Article
\(H^{1}\) -norm error analysis of a robust ADI method on graded mesh for three-dimensional subdiffusion problems
This work proposes a robust ADI scheme on graded mesh for solving three-dimensional subdiffusion problems. The Caputo fractional derivative is discretized by L1 scheme, where the graded mesh is used to elimina...
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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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PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization
In response to the significant positioning errors that arise in visual localization algorithms for unmanned aerial vehicles (UAVs) when relying on drone image matching in areas devoid of satellite signals, we ...
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A lightweight fatigue driving detection method based on facial features
Fatigue driving is a significant factor in traffic accidents, underscoring the importance of driver fatigue detection. Existing fatigue detection methods are susceptible to factors such as acquisition angle an...
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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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Stone segmentation based on improved U-Net network
In the contemporary stone aggregate industry and regulatory environment, there is a pressing need for a method that can quickly and efficiently calculate the average particle size of a batch of stones. The tra...
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ReliTalk: Relightable Talking Portrait Generation from a Single Video
Recent years have witnessed great progress in creating vivid audio-driven portraits from monocular videos. However, how to seamlessly adapt the created video avatars to other scenarios with different backgroun...
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Open AccessEsophagogastroscopy for predicting endoscopic ultrasonography T-stage by utilizing deep learning methods in esophageal cancer
Endoscopic ultrasonography (EUS) is commonly utilized in preoperative staging of esophageal cancer, however with additional pain and cost as well as adverse events. Meanwhile, the accuracy of EUS is highly dep...
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End-to-End Video Text Spotting with Transformer
Recent video text spotting methods usually require the three-staged pipeline, i.e., detecting text in individual images, recognizing localized text, tracking text streams with post-processing to generate final re...
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DiffCAS: diffusion based multi-attention network for segmentation of 3D coronary artery from CT angiography
Automatic segmentation of 3D coronary arteries from computed tomography angiography (CTA) is an indispensable part of accurate and efficient coronary artery disease (CAD) diagnosis. However, it remains challen...
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Global adaptive histogram feature network for automatic segmentation of infection regions in CT images
Accurate and timely diagnosis of COVID-like virus is of paramount importance for lifesaving. In this work, deep learning techniques are applied to lung CT image segmentation for accurate disease diagnosis. We ...
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A full-detection association tracker with confidence optimization for real-time multi-object tracking
Multi-object tracking (MOT) aims to obtain trajectories with unique identifiers for multiple objects in a video stream. In current approaches, confidence thresholds were frequently used to perform multi-stage ...
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Exploiting Diffusion Prior for Real-World Image Super-Resolution
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution. Specifically, by employing our time-aware encoder, we can achieve ...
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Open AccessDesigning preschool children's educational games for enlightenment through decision analysis methods
As an innovative form of digital online education, educational games have potentially significant impacts on preschool children's enlightenment education. Identifying key factors for effective design is crucia...
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MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction
The goal of this study is to reconstruct a high-quality computed tomography (CT) image from low-dose acquisition using an unrolling deep learning-based reconstruction network with less computational complexity...
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Free-form and multi-physical metamaterials with forward conformality-assisted tracing
Transformation theory, active control and inverse design have been mainstream in creating free-form metamaterials. However, existing frameworks cannot simultaneously satisfy the requirements of isotropic, pass...
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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops, threatening food security. Timely classification, accurate identifica...
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Hyper star structure fault tolerance of half hypercube
The reliability of interconnection networks ordinarily is measured by all kinds of connectivities. The qualitative and quantitative analysis relies on the assumptions consistent with the actual situation. Stru...
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Application of hill climbing method in position angle compensation for SPMSM
Surface-mounted permanent magnet synchronous motor (SPMSM) is widely used in the industrial field with excellent performance, and the rise of artificial intelligence has also promoted its development. In order...
