168 citations · 513 across the 28 of their papers we have counts for
28 papers
Blind Stereoscopic Omnidirectional Image Quality Assessment Using Predictive Coding Hierarchy
Wei Zhou, André Kaup
Stereoscopic omnidirectional images (SOIs) have provided users with newly immersive quality of experience in virtual reality environments. However, developing efficient and accurat…
Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics
Wei Zhou, Zhou Wang
Omnidirectional image quality assessment (OIQA) aims to predict the perceptual quality of omnidirectional images that cover the whole 180360 viewing range of the…
Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection
Wei Zhou, Guanghui Yue, Ruizeng Zhang +2
Many dense 3D point clouds have been exploited to represent visual objects instead of traditional images or videos. To evaluate the perceptual quality of various point clouds, in t…
Dehazed Image Quality Evaluation: From Partial Discrepancy to Blind Perception
Wei Zhou, Ruizeng Zhang, Leida Li +2
Image dehazing aims to restore spatial details from hazy images. There have emerged a number of image dehazing algorithms, designed to increase the visibility of those hazy images.…
Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling
Wei Zhou, Qi Yang, Qiuping Jiang +2
Objective quality assessment of 3D point clouds is essential for the development of immersive multimedia systems in real-world applications. Despite the success of perceptual quali…
Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity
Wei Zhou, Zhou Wang
There has been a growing interest in developing image super-resolution (SR) algorithms that convert low-resolution (LR) to higher resolution images, but automatically evaluating th…
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
Yiting Lu, Jun Fu, Xin Li +6
Coronary CT Angiography (CCTA) is susceptible to various distortions (e.g., artifacts and noise), which severely compromise the exact diagnosis of cardiovascular diseases. The appr…
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation
Qiuping Jiang, Jiawu Xu, Yudong Mao +3
Blind image quality assessment (BIQA), which aims to accurately predict the image quality without any pristine reference information, has been extensively concerned in the past dec…
A Brief Survey on Adaptive Video Streaming Quality Assessment
Wei Zhou, Xiongkuo Min, Hong Li +1
Quality of experience (QoE) assessment for adaptive video streaming plays a significant role in advanced network management systems. It is especially challenging in case of dynamic…
Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment
Jun Fu, Chen Hou, Wei Zhou +2
In no-reference 360-degree image quality assessment (NR 360IQA), graph convolutional networks (GCNs), which model interactions between viewports through graphs, have achieved impre…
Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness
Wei Zhou, Zhou Wang, Zhibo Chen
Single image super-resolution (SISR) algorithms reconstruct high-resolution (HR) images with their low-resolution (LR) counterparts. It is desirable to develop image quality assess…
LIQA: Lifelong Blind Image Quality Assessment
Jianzhao Liu, Wei Zhou, Jiahua Xu +3
Existing blind image quality assessment (BIQA) methods are mostly designed in a disposable way and cannot evolve with unseen distortions adaptively, which greatly limits the deploy…
Bayesian Graph Convolutional Network for Traffic Prediction
Jun Fu, Wei Zhou, Zhibo Chen
Recently, adaptive graph convolutional network based traffic prediction methods, learning a latent graph structure from traffic data via various attention-based mechanisms, have ac…
GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
Simeng Sun, Tao Yu, Jiahua Xu +2
A good distortion representation is crucial for the success of deep blind image quality assessment (BIQA). However, most previous methods do not effectively model the relationship…
No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness
Wei Zhou, Jiahua Xu, Qiuping Jiang +1
360-degree/omnidirectional images (OIs) have achieved remarkable attentions due to the increasing applications of virtual reality (VR). Compared to conventional 2D images, OIs can…
Deep Multi-Scale Features Learning for Distorted Image Quality Assessment
Wei Zhou, Zhibo Chen
Image quality assessment (IQA) aims to estimate human perception based image visual quality. Although existing deep neural networks (DNNs) have shown significant effectiveness for…
Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment
Wei Zhou, Zhibo Chen
In recent years, deep learning has achieved promising success for multimedia quality assessment, especially for image quality assessment (IQA). However, since there exist more comp…
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
Jianzhao Liu, Jianxin Lin, Xin Li +3
Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task.…
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
Xin Li, Xin Jin, Jianxin Lin +5
Hybrid-distorted image restoration (HD-IR) is dedicated to restore real distorted image that is degraded by multiple distortions. Existing HD-IR approaches usually ignore the inher…
Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
Wei Zhou, Qiuping Jiang, Yuwang Wang +2
Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions. However, effectiv…
Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks
Jiahua Xu, Wei Zhou, Zhibo Chen
Quality assessment of omnidirectional images has become increasingly urgent due to the rapid growth of virtual reality applications. Different from traditional 2D images and videos…
Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports
Jiahua Xu, Ziyuan Luo, Wei Zhou +2
Objective quality assessment of stereoscopic panoramic images becomes a challenging problem owing to the rapid growth of 360-degree contents. Different from traditional 2D image qu…
Tensor Oriented No-Reference Light Field Image Quality Assessment
Wei Zhou, Likun Shi, Zhibo Chen +1
Light field image (LFI) quality assessment is becoming more and more important, which helps to better guide the acquisition, processing and application of immersive media. However,…
No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image
Ziyuan Luo, Wei Zhou, Likun Shi +1
Light field image quality assessment (LF-IQA) plays a significant role due to its guidance to Light Field (LF) contents acquisition, processing and application. The LF can be repre…