Yudong Liang
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View article: 3d Portrait Stylization with Adaptive Semantic Editing Based on Gan Latent Code
3d Portrait Stylization with Adaptive Semantic Editing Based on Gan Latent Code Open
View article: Density-Aware Few-Parametric Networks for Robust Few-Shot Point Cloud Semantic Segmentation
Density-Aware Few-Parametric Networks for Robust Few-Shot Point Cloud Semantic Segmentation Open
View article: Determination of pulmonary vessel alteration in Chinese male smokers by quantitative computed tomography measurements: a retrospective study
Determination of pulmonary vessel alteration in Chinese male smokers by quantitative computed tomography measurements: a retrospective study Open
Pulmonary vascular volumes detectable on non-contrast CT are associated with cigarette exposure, and smoking cessation may prevent pulmonary vasculature remodeling.
View article: Analysis of Factors Affecting Product Quality in International Trade
Analysis of Factors Affecting Product Quality in International Trade Open
International trade plays a crucial role in the global economy, not only promoting the free flow of goods, services, and capital, but also facilitating the exchange of technology, knowledge, and culture. With the acceleration of globalizat…
View article: Microstructure evolution of lithium-ion battery electrodes at different states of charge: Deep learning-based segmentation
Microstructure evolution of lithium-ion battery electrodes at different states of charge: Deep learning-based segmentation Open
View article: Progressive residual learning for single image dehazing
Progressive residual learning for single image dehazing Open
The recent physical model-free dehazing methods have achieved state-of-the-art performances. However, without the guidance of physical models, the performances degrade rapidly when applied to real scenarios due to the unavailable or insuff…
View article: Progressive Depth Learning for Single Image Dehazing
Progressive Depth Learning for Single Image Dehazing Open
The formulation of the hazy image is mainly dominated by the reflected lights and ambient airlight. Existing dehazing methods often ignore the depth cues and fail in distant areas where heavier haze disturbs the visibility. However, we not…
View article: Multi-Attribute Group Decision Making Based on Multigranulation Probabilistic Models with Interval-Valued Neutrosophic Information
Multi-Attribute Group Decision Making Based on Multigranulation Probabilistic Models with Interval-Valued Neutrosophic Information Open
In plenty of realistic situations, multi-attribute group decision-making (MAGDM) is ubiquitous and significant in daily activities of individuals and organizations. Among diverse tools for coping with MAGDM, granular computing-based approa…
View article: Discriminative Feature Learning With Foreground Attention for Person Re-Identification
Discriminative Feature Learning With Foreground Attention for Person Re-Identification Open
The performance of person re-identification (Re-ID) has been seriously effected by the large cross-view appearance variations caused by mutual occlusions and background clutters. Hence learning a feature representation that can adaptively …
View article: Single Image Super Resolution - When Model Adaptation Matters
Single Image Super Resolution - When Model Adaptation Matters Open
In the recent years impressive advances were made for single image super-resolution. Deep learning is behind a big part of this success. Deep(er) architecture design and external priors modeling are the key ingredients. The internal conten…
View article: Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network
Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network Open
Recent years have witnessed great success of convolutional neural network (CNN) for various problems both in low and high level visions. Especially noteworthy is the residual network which was originally proposed to handle high-level visio…
View article: Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network
Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network Open
Recent years have witnessed great success of convolutional neural network (CNN) for various problems both in low and high level visions. Especially noteworthy is the residual network which was originally proposed to handle high-level visio…