168 citations · 1.8k across the 114 of their papers we have counts for
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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…
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…
Sequential Reinforced 360-Degree Video Adaptive Streaming with Cross-user Attentive Network
Jun Fu, Zhibo Chen, Xiaoming Chen +1
In the tile-based 360-degree video streaming, predicting user's future viewpoints and developing adaptive bitrate (ABR) algorithms are essential for optimizing user's quality of ex…
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…
Learning based Facial Image Compression with Semantic Fidelity Metric
Zhibo Chen, Tianyu He
Surveillance and security scenarios usually require high efficient facial image compression scheme for face recognition and identification. While either traditional general image c…
Learned Scalable Image Compression with Bidirectional Context Disentanglement Network
Zhizheng Zhang, Zhibo Chen, Jianxin Lin +1
In this paper, we propose a learned scalable/progressive image compression scheme based on deep neural networks (DNN), named Bidirectional Context Disentanglement Network (BCD-Net)…
Hybrid Distortion Aggregated Visual Comfort Assessment for Stereoscopic Image Retargeting
Ya Zhou, Zhibo Chen, Weiping Li
Visual comfort is a quite important factor in 3D media service. Few research efforts have been carried out in this area especially in case of 3D content retargeting which may intro…
Visual Comfort Assessment for Stereoscopic Image Retargeting
Ya Zhou, Wei Zhou, Ping An +1
In recent years, visual comfort assessment (VCA) for 3D/stereoscopic content has aroused extensive attention. However, much less work has been done on the perceptual evaluation of…
Learning for Video Compression
Zhibo Chen, Tianyu He, Xin Jin +1
One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network. In…