Xingran Liao

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Image Quality Assessment: Exploring Joint Degradation Effect of Deep Network Features via Kernel Representation Similarity Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Xingran Liao, Xuekai Wei, Mingliang Zhou, Hau-San Wong, Sam Kwong
2024 J jnl
Full-Reference Image Quality Assessment: Addressing Content Misalignment Issue by Comparing Order Statistics of Deep Features.
IEEE Trans. Broadcast.
Xingran Liao, Xuekai Wei, Mingliang Zhou, Sam Kwong
2024 J jnl
Image Quality Assessment: Measuring Perceptual Degradation via Distribution Measures in Deep Feature Spaces.
IEEE Trans. Image Process.
Xingran Liao, Xuekai Wei, Mingliang Zhou, Zhengguo Li, Sam Kwong
2024 J jnl
Minimax Concave Penalty Regression for Superresolution Image Reconstruction.
IEEE Trans. Consumer Electron.
Xingran Liao, Xuekai Wei, Mingliang Zhou
2023 J jnl
An End-to-End Blind Image Quality Assessment Method Using a Recurrent Network and Self-Attention.
IEEE Trans. Broadcast.
Mingliang Zhou, Xuting Lan, Xuekai Wei, Xingran Liao, Qin Mao, Yutong Li, Chao Wu, Tao Xiang, Bin Fang
2023 J jnl
Attentional Feature Fusion for End-to-End Blind Image Quality Assessment.
IEEE Trans. Broadcast.
Mingliang Zhou, Shujun Lang, Taiping Zhang, Xingran Liao, Zhaowei Shang, Tao Xiang, Bin Fang
2023 — conf
Linear Model-Based Optimal VVC Intercoding Rate Control Scheme.
NCAA (1)
Xuekai Wei, Mingliang Zhou, Xingran Liao
2023 J jnl
Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment.
IEEE Trans. Broadcast.
Xuting Lan, Mingliang Zhou, Xueyong Xu, Xuekai Wei, Xingran Liao, Huayan Pu, Jun Luo, Tao Xiang, Bin Fang, Zhaowei Shang
2023 J jnl
Perception-Oriented U-Shaped Transformer Network for 360-Degree No-Reference Image Quality Assessment.
IEEE Trans. Broadcast.
Mingliang Zhou, Lei Chen, Xuekai Wei, Xingran Liao, Qin Mao, Heqiang Wang, Huayan Pu, Jun Luo, Tao Xiang, Bin Fang
2023 J jnl
Spatiotemporal Feature Hierarchy-Based Blind Prediction of Natural Video Quality via Transfer Learning.
IEEE Trans. Broadcast.
Weizhi Xian, Mingliang Zhou, Bin Fang, Xingran Liao, Cheng Ji, Tao Xiang, Weijia Jia
2022 A* conf
DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space.
ACM Multimedia
Xingran Liao, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Mingliang Zhou, Sam Kwong
2022 J jnl
DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space.
CoRR
Xingran Liao, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Mingliang Zhou, Sam Kwong