activity
20182022
most citedLearning Disentangled Feature Representation for Hybrid-distorted Image Restoration

8 citations · 24 across the 12 of their papers we have counts for

collaborators

18 papers

cs.MM2022

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.…

cs.MM20221 cited

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…

eess.IV20211 cited

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…

eess.IV20211 cited

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…

cs.MM2021

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…

cs.LG20213 cited

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…