Keyan Wang
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View article: Exploring the nexus between particulate matter and infertility: multiple mechanistic insights and potential control strategies
Exploring the nexus between particulate matter and infertility: multiple mechanistic insights and potential control strategies Open
View article: Combined transversus abdominis plane and rectus sheath blocks with patient-controlled intravenous analgesia <i>versus</i> epidural analgesia for kidney transplantation: randomized, non-inferiority clinical trial
Combined transversus abdominis plane and rectus sheath blocks with patient-controlled intravenous analgesia <i>versus</i> epidural analgesia for kidney transplantation: randomized, non-inferiority clinical trial Open
Background Epidural analgesia can improve early postoperative recovery after renal transplantation. Abdominal wall blocks (transversus abdominis plane (TAP) and rectus sheath (RS)) combined with patient-controlled intravenous analgesia (PC…
View article: Advances and Challenges in Nano-Delivery Systems for Glioblastoma Treatment: A Comprehensive Review
Advances and Challenges in Nano-Delivery Systems for Glioblastoma Treatment: A Comprehensive Review Open
Glioblastoma is the most aggressive and lethal primary brain tumor in adults, with current treatment options offering only limited improvement in patient survival. Despite the advancement of modalities such as immunotherapy, targeted thera…
View article: Pore-scale characterization of residual DNAPL mass transfer during cosolvent flushing via 3D X-ray microtomography
Pore-scale characterization of residual DNAPL mass transfer during cosolvent flushing via 3D X-ray microtomography Open
View article: Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization
Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization Open
Due to the fact that invalid cloud-covered regions in remote sensing images consume a considerable quantity of coding bit rates under the limited satellite-to-ground transmission rate, existing image compression methods suffer from low com…
View article: High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion Open
Diffusion probabilistic models have recently achieved remarkable success in generating high-quality images. However, balancing high perceptual quality and low distortion remains challenging in image compression applications. To address thi…
View article: Gold Nanoclusters-Based Nano Capture-Detection System for Early Lung Cancer Diagnosis
Gold Nanoclusters-Based Nano Capture-Detection System for Early Lung Cancer Diagnosis Open
View article: AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection
AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection Open
Infrared small target detection is considerably challenging due to the few pixels in targets, low signal-to-noise ratio, and complex background. In this article, we propose an effective attention-guided feature enhancement network (AFE-Net…
View article: Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank Open
Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress. In this work, we propose a mean-teacher based Semi-supervised Underwater Image R…
View article: MashFormer: A Novel Multiscale Aware Hybrid Detector for Remote Sensing Object Detection
MashFormer: A Novel Multiscale Aware Hybrid Detector for Remote Sensing Object Detection Open
Object detection is a critical and demanding topic in the subject of processing satellite and airborne images. The targets acquired in remote sensing imagery are at various sizes, and the backgrounds are complicated, which makes object det…
View article: NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Open
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-resolve an input image with a magnification factor of $\times$4…
View article: DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing Open
Hazy images are often subject to color distortion, blurring, and other visible quality degradation. Some existing CNN-based methods have great performance on removing homogeneous haze, but they are not robust in non-homogeneous case. The r…
View article: A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning Open
Recently, there has been rapid and significant progress on image dehazing. Many deep learning based methods have shown their superb performance in handling homogeneous dehazing problems. However, we observe that even if a carefully designe…
View article: Deep Residual Network-Based Fusion Framework for Hyperspectral and LiDAR Data
Deep Residual Network-Based Fusion Framework for Hyperspectral and LiDAR Data Open
This article presents a deep residual network-based fusion framework for hyperspectral and LiDAR data. In this framework, three new fusion methods are proposed, which are the residual network-based deep feature fusion (RNDFF), the residual…
View article: Accelerating Haze Removal Algorithm Using CUDA
Accelerating Haze Removal Algorithm Using CUDA Open
The dark channel prior (DCP)-based single image removal algorithm achieved excellent performance. However, due to the high complexity of the algorithm, it is difficult to satisfy the demands of real-time processing. In this article, we pre…
View article: Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection
Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection Open
Hyperspectral target detection is critical in both military and civilian applications. However, it is a challenging task due to the complexity of background and the limited samples of target in hyperspectral images (HSIs). In this article,…
View article: Underwater Image Restoration Based on a Parallel Convolutional Neural Network
Underwater Image Restoration Based on a Parallel Convolutional Neural Network Open
Restoring degraded underwater images is a challenging ill-posed problem. The existing prior-based approaches have limited performance in many situations due to the reliance on handcrafted features. In this paper, we propose an effective co…
View article: Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding
Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding Open
A new method of superpixel segmentation-based local pixel neighborhood preserving embedding (SSLPNPE) is proposed for the fusion of hyperspectral and light detection and ranging (LiDAR) data based on the extinction profiles (EPs), superpix…
View article: Generic Model-Agnostic Convolutional Neural Networks for Single Image Dehazing
Generic Model-Agnostic Convolutional Neural Networks for Single Image Dehazing Open
Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis. In this paper, I propose an end-to-end generative method for single image dehazing problem. It is based on fully convolut…
View article: Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing
Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing Open
Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis. This paper proposes an end-to-end generative method for image dehazing. It is based on designing a fully convolutional ne…
View article: Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks
Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks Open
With success of Deep Belief Networks (DBNs) in computer vision, DBN has attracted great attention in hyperspectral classification. Many deep learning based algorithms have been focused on deep feature extraction for classification improvem…
View article: Quantitative Performance Evaluation for Dehazing Algorithms on Synthetic Outdoor Hazy Images
Quantitative Performance Evaluation for Dehazing Algorithms on Synthetic Outdoor Hazy Images Open
Dehazing has emerged as a promising technology to recover the clear image from an input hazy image, such that the image quality can be significantly enhanced. However, it is still an open issue to quantitatively evaluate the performance of…
View article: Can Gray Code Improve the Performance of Distributed Video Coding?
Can Gray Code Improve the Performance of Distributed Video Coding? Open
Gray code application in distributed video coding (DVC) has been studied in the literature and it was claimed that DVC performance could be improved by Gray code because of stronger bitplane correlation presented. However, two factors are …