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A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer
Journal article
Lang, Shujun, Liu, Xu, Zhou, Mingliang, Luo, Jun, Pu, Huayan, Zhuang, Xu, Wang, Jason, Wei, Xuekai, Zhang, Taiping, Feng, Yong, Shang, Zhaowei. A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer[J]. IEEE Transactions on Broadcasting, 2024, 70(1), 316-324.
Authors:
Lang, Shujun
;
Liu, Xu
;
Zhou, Mingliang
;
Luo, Jun
;
Pu, Huayan
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
5
IF:
3.2
/
3.6
|
Submit date:2024/02/22
Conformer
Deep Learning
Distortion
Feature Extraction
Full-reference Image Quality Assessment
Image Quality
Knowledge-driven
Meta-learning
Metalearning
Task Analysis
Visualization
Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment
Journal article
Lan,Xuting, Zhou,Mingliang, Xu,Xueyong, Wei,Xuekai, Liao,Xingran, Pu,Huayan, Luo,Jun, Xiang,Tao, Fang,Bin, Shang,Zhaowei. Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment[J]. IEEE Transactions on Broadcasting, 2023, 69(3), 801-811.
Authors:
Lan,Xuting
;
Zhou,Mingliang
;
Xu,Xueyong
;
Wei,Xuekai
;
Liao,Xingran
; et al.
Favorite
|
TC[WOS]:
15
TC[Scopus]:
18
IF:
3.2
/
3.6
|
Submit date:2023/08/03
Blind Image Quality Assessment
Deep Learning
Distortion
Feature Extraction
Feature Extraction
Generative Adversarial Networks
Image Quality
Multilevel Feature Fusion
Predictive Models
Semantics
An End-to-End Blind Image Quality Assessment Method Using a Recurrent Network and Self-Attention
Journal article
Mingliang Zhou, Xuting Lan, Xuekai Wei, Xingran Liao, Qin Mao, Yutong Li, Chao Wu, Tao Xiang, Bin Fang. An End-to-End Blind Image Quality Assessment Method Using a Recurrent Network and Self-Attention[J]. IEEE Transactions on Broadcasting, 2022, 69(2), 369-377.
Authors:
Mingliang Zhou
;
Xuting Lan
;
Xuekai Wei
;
Xingran Liao
;
Qin Mao
; et al.
Favorite
|
TC[WOS]:
17
TC[Scopus]:
17
IF:
3.2
/
3.6
|
Submit date:2023/07/27
Blind Image Quality Assessment
Recurrent Neural Network
Self-attention
Reconceptualizing the impact of feedback in second language writing: A multidimensional perspective
Journal article
Liu, Chunhong, Yu, Shulin. Reconceptualizing the impact of feedback in second language writing: A multidimensional perspective[J]. Assessing Writing, 2022, 53, 100630.
Authors:
Liu, Chunhong
;
Yu, Shulin
Favorite
|
TC[WOS]:
11
TC[Scopus]:
16
IF:
4.2
/
4.8
|
Submit date:2022/05/13
Feedback Impact
Text Revision
Writing Assessment
Writing Process
Writing Quality
Simultaneous determination of ten nucleosides and bases in Ganoderma by micellar electrokinetic chromatography
Journal article
Sheng, Feiya, Wang, Songsong, Luo, Xiao, Xiao, Jianbo, Hu, Linfeng, Li, Peng. Simultaneous determination of ten nucleosides and bases in Ganoderma by micellar electrokinetic chromatography[J]. Food Science and Human Wellness, 2022, 11(2), 263-268.
Authors:
Sheng, Feiya
;
Wang, Songsong
;
Luo, Xiao
;
Xiao, Jianbo
;
Hu, Linfeng
; et al.
Favorite
|
TC[WOS]:
10
TC[Scopus]:
9
IF:
5.6
/
6.8
|
Submit date:2022/03/28
Bases
Ganoderma
Micellar Electrokinetic Chromatography
Nucleosides
Quality Assessment
Texture-Guided Multiscale Feature Learning Network for Palmprint Image Quality Assessment
Conference paper
Sun, Xiao, Fei, Lunke, Zhao, Shuping, Li, Shuyi, Wen, Jie, Jia, Wei. Texture-Guided Multiscale Feature Learning Network for Palmprint Image Quality Assessment[C]. Deng W., Feng J., Zheng F., Huang D., Kan M., Sun Z., He Z., Wang W.:Springer Science and Business Media Deutschland GmbH, 2022, 550-558.
Authors:
Sun, Xiao
;
Fei, Lunke
;
Zhao, Shuping
;
Li, Shuyi
;
Wen, Jie
; et al.
Favorite
|
TC[Scopus]:
1
|
Submit date:2023/01/30
Biometric
Palmprint Image Quality Assessment
Multiscale Feature Leaning
Texture Guided
An efficient unsupervised image quality metric with application for condition recognition in kiln
Journal article
Wu, Leyuan, Zhang, Xiaogang, Chen, Hua, Zhou, Yicong, Wang, Lianhong, Wang, Dingxiang. An efficient unsupervised image quality metric with application for condition recognition in kiln[J]. Engineering Applications of Artificial Intelligence, 2021, 107, 104547.
Authors:
Wu, Leyuan
;
Zhang, Xiaogang
;
Chen, Hua
;
Zhou, Yicong
;
Wang, Lianhong
; et al.
Favorite
|
TC[WOS]:
4
TC[Scopus]:
4
IF:
7.5
/
7.4
|
Submit date:2022/02/21
Blind Image Quality Assessment (Biqa)
Iqa-based Application
Sintering Condition Recognition
Textural Intensity
Perceptual quality assessment of low-light image enhancement
Journal article
Zhai, Guangtao, Sun, Wei, Min, Xiongkuo, Zhou, Jiantao. Perceptual quality assessment of low-light image enhancement[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2021, 17(4), 130.
Authors:
Zhai, Guangtao
;
Sun, Wei
;
Min, Xiongkuo
;
Zhou, Jiantao
Favorite
|
TC[WOS]:
49
TC[Scopus]:
54
IF:
5.2
/
4.9
|
Submit date:2022/05/13
Light-enhanced Image
Low-light Image Enhancement
Quality Assessment
Structure Similarity
Method for a new risk assessment of urban water quality: IFN-SPA
Journal article
Lyu, Hai Min, Zheng, Qian, Shen, Shui Long, Zhou, Annan. Method for a new risk assessment of urban water quality: IFN-SPA[J]. MethodsX, 2021, 8, 101237.
Authors:
Lyu, Hai Min
;
Zheng, Qian
;
Shen, Shui Long
;
Zhou, Annan
Favorite
|
TC[WOS]:
6
TC[Scopus]:
9
IF:
1.6
/
2.1
|
Submit date:2021/12/07
Risk Assessment
Spa
Spa Application
Water Quality
Unsupervised quaternion model for blind colour image quality assessment
Journal article
Wu, Leyuan, Zhang, Xiaogang, Chen, Hua, Zhou, Yicong. Unsupervised quaternion model for blind colour image quality assessment[J]. Signal Processing, 2020, 176, 107708.
Authors:
Wu, Leyuan
;
Zhang, Xiaogang
;
Chen, Hua
;
Zhou, Yicong
Favorite
|
TC[WOS]:
9
TC[Scopus]:
10
IF:
3.4
/
3.8
|
Submit date:2021/12/06
Colour Image Processing
Natural Scene Statistical
Quaternion Representation
Unsupervised Blind Image Quality Assessment