Zobrazeno 1 - 10
of 10 523
pro vyhledávání: '"Huang,Peng"'
Autor:
Huang, Peng
The Abelian gauge symmetry proposed by Hermann Weyl is generalized to its non-Abelian extension. Afterwards the standard model is generalized to incorporate the Abelian and non-Abelian Weyl symmetry. This symmetry extension brings new gauge particles
Externí odkaz:
http://arxiv.org/abs/2412.01263
Text-To-Image (TTI) generation is significant for controlled and diverse image generation with broad potential applications. Although current medical TTI methods have made some progress in report-to-Chest-Xray (CXR) generation, their generation perfo
Externí odkaz:
http://arxiv.org/abs/2410.20165
Publikováno v:
Applied Optics 63(2024) 7286-7292
By employing x-Bohm theory and p-Bohm theory, we construct the position and momentum trajectories of single-mode and superposed-mode Laguerre-Gaussian (LG) beams. The dependence of divergence velocity and rotation velocity on the initial position and
Externí odkaz:
http://arxiv.org/abs/2409.15643
Dense colored point clouds enhance visual perception and are of significant value in various robotic applications. However, existing learning-based point cloud upsampling methods are constrained by computational resources and batch processing strateg
Externí odkaz:
http://arxiv.org/abs/2409.01581
Modulators based on the Mach-Zehnder interferometer (MZI) structure are widely used in continuous-variable quantum key distribution (CVQKD) systems. MZI-based variable optical attenuator (VOA) and amplitude modulator can reshape the waveform and cont
Externí odkaz:
http://arxiv.org/abs/2409.00497
The CNN has achieved excellent results in the automatic classification of medical images. In this study, we propose a novel deep residual 3D attention non-local network (NL-RAN) to classify CT images included COVID-19, common pneumonia, and normal to
Externí odkaz:
http://arxiv.org/abs/2408.04300
Medical Image Foundation Models have proven to be powerful tools for mask prediction across various datasets. However, accurately assessing the uncertainty of their predictions remains a significant challenge. To address this, we propose a new model,
Externí odkaz:
http://arxiv.org/abs/2408.08881
Autor:
Cheng, Peng, Wang, Yuwei, Huang, Peng, Ba, Zhongjie, Lin, Xiaodong, Lin, Feng, Lu, Li, Ren, Kui
Extensive research has revealed that adversarial examples (AE) pose a significant threat to voice-controllable smart devices. Recent studies have proposed black-box adversarial attacks that require only the final transcription from an automatic speec
Externí odkaz:
http://arxiv.org/abs/2408.01808
Text-to-image generation has important implications for generation of diverse and controllable images. Several attempts have been made to adapt Stable Diffusion (SD) to the medical domain. However, the large distribution difference between medical re
Externí odkaz:
http://arxiv.org/abs/2407.00752
Current medical image classification efforts mainly aim for higher average performance, often neglecting the balance between different classes. This can lead to significant differences in recognition accuracy between classes and obvious recognition w
Externí odkaz:
http://arxiv.org/abs/2406.17338