168 citations · 188 across the 8 of their papers we have counts for
8 papers
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection
Jiahua Xu, Si Zuo, Chenfeng Wei +1
With the rapid proliferation of autonomous driving, there has been a heightened focus on the research of lidar-based 3D semantic segmentation and object detection methodologies, ai…
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…
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…
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…
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…
Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement
Jiahua Xu, Wei Zhou, Zhibo Chen +2
Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D conten…
Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory
Zhibo Chen, Jiahua Xu, Chaoyi Lin +1
Objective quality assessment of stereoscopic omnidirectional images is a challenging problem since it is influenced by multiple aspects such as projection deformation, field of vie…