Handing Xu
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View article: Rethinking Rotation-Invariant Recognition of Fine-grained Shapes from the Perspective of Contour Points
Rethinking Rotation-Invariant Recognition of Fine-grained Shapes from the Perspective of Contour Points Open
Rotation-invariant recognition of shapes is a common challenge in computer vision. Recent approaches have significantly improved the accuracy of rotation-invariant recognition by encoding the rotational invariance of shapes as hand-crafted…
View article: UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction Open
In the realm of 3D reconstruction from 2D images, a persisting challenge is to achieve high-precision reconstructions devoid of 3D Ground Truth data reliance. We present UNeR3D, a pioneering unsupervised methodology that sets a new standar…
View article: PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer
PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer Open
View article: Intramedullary Skeletal Distraction Robot: Novel Design and Optimization of Implantable Lengthening Nail
Intramedullary Skeletal Distraction Robot: Novel Design and Optimization of Implantable Lengthening Nail Open
Leg Length Discrepancy (LLD) is a critical problem which not only impacts the quality of life but also causes other physical ailments such as limping and severe back pain. Most people had a non-negligible difference in the length of their …
View article: SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain
SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain Open
Due to the limit of mesh density, the improvement of the spatial precision of numerical computation always leads to a decrease in computing efficiency. Aiming at this inability of numerical computation, we propose a novel method for boosti…
View article: SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features Open
In stress field analysis, the finite element analysis is a crucial approach, in which the mesh-density has a significant impact on the results. High mesh density usually contributes authentic to simulation results but costs more computing …