Chen, J.S.[Jian-Sheng],
Deng, Y.[Yu],
Bai, G.C.[Gao-Cheng],
Su, G.D.[Guang-Da],
Face Image Quality Assessment Based on Learning to Rank,
SPLetters(22), No. 1, January 2015, pp. 90-94.
IEEE DOI
1410
face recognition
BibRef
Fu, B.Y.[Bi-Ying],
Damer, N.[Naser],
Face morphing attacks and face image quality: The effect of morphing
and the unsupervised attack detection by quality,
IET-Bio(11), No. 5, 2022, pp. 359-382.
DOI Link
2210
BibRef
Liu, T.[Tie],
Li, S.X.[Sheng-Xi],
Xu, M.[Mai],
Yang, L.[Li],
Wang, X.F.[Xiao-Fei],
Assessing Face Image Quality:
A Large-Scale Database and a Transformer Method,
PAMI(46), No. 5, May 2024, pp. 3981-4000.
IEEE DOI
2404
Face recognition, Distortion, Databases, Image quality,
Quality assessment, Feature extraction, Transformers, transformer
BibRef
Su, S.[Shaolin],
Lin, H.[Hanhe],
Hosu, V.[Vlad],
Wiedemann, O.[Oliver],
Sun, J.Q.[Jin-Qiu],
Zhu, Y.[Yu],
Liu, H.T.[Han-Tao],
Zhang, Y.N.[Yan-Ning],
Saupe, D.[Dietmar],
Going the Extra Mile in Face Image Quality Assessment:
A Novel Database and Model,
MultMed(26), 2024, pp. 2671-2685.
IEEE DOI
2402
Face recognition, Faces, Image quality, Task analysis, Predictive models,
Databases, Codes, Image quality assessment, generative priors
BibRef
Yue, G.H.[Guang-Hui],
Wu, H.[Honglv],
Jiang, Q.P.[Qiu-Ping],
Zhou, T.W.[Tian-Wei],
Yan, W.Q.[Wei-Qing],
Wang, T.F.[Tian-Fu],
Perceptual Quality Assessment of Retouched Face Images,
MultMed(26), 2024, pp. 5741-5752.
IEEE DOI
2404
Radio frequency, Task analysis, Feature extraction, Distortion,
Face recognition, Quality assessment, Visualization,
multi-task learning
BibRef
Tian, Y.[Yu],
Wang, S.Q.[Shi-Qi],
Chen, B.L.[Bao-Liang],
Kwong, S.[Sam],
Causal Representation Learning for GAN-Generated Face Image Quality
Assessment,
CirSysVideo(34), No. 8, August 2024, pp. 7589-7600.
IEEE DOI
2408
Face recognition, Distortion, Image quality, Faces,
Generative adversarial networks, Databases, human visual system
BibRef
Li, Y.X.[Yi-Xuan],
Chen, B.L.[Bo-Lin],
Chen, B.L.[Bao-Liang],
Wang, M.[Meng],
Wang, S.Q.[Shi-Qi],
Lin, W.S.[Wei-Si],
Perceptual Quality Assessment of Face Video Compression: A Benchmark
and An Effective Method,
MultMed(26), 2024, pp. 8596-8608.
IEEE DOI
2408
Faces, Quality assessment, Video compression, Face recognition, Image coding,
Video recording, Streaming media, subjective and objective study
BibRef
Huang, J.[Jin],
Gong, Y.S.[Yong-Shun],
Shi, Y.[Yang],
Zhang, X.X.[Xin-Xin],
Zhang, J.[Jian],
Yin, Y.L.[Yi-Long],
Focusing on Subtle Differences: A Feature Disentanglement Model for
Series Photo Selection,
MultMed(26), 2024, pp. 8758-8770.
IEEE DOI
2408
Quality assessment, Feature extraction, Task analysis, Noise,
Redundancy, Predictive models, Face recognition, feature fusion
BibRef
Wang, Z.X.[Zhi-Xiang],
Liu, Y.L.[Yu-Lun],
Huang, J.B.[Jia-Bin],
Satoh, S.[Shin'ichi],
Ma, S.[Sizhuo],
Krishnan, G.[Gurunandan],
Wang, J.[Jian],
DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs,
IJCV(132), No. 11, November 2024, pp. 5471-5488.
Springer DOI
2411
Close up distortions.
BibRef
Chen, W.T.[Wei-Ting],
Krishnan, G.[Gurunandan],
Gao, Q.[Qiang],
Kuo, S.Y.[Sy-Yen],
Ma, S.[Sizhuo],
Wang, J.[Jian],
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation
Learning and Landmark-Guided Transformer,
CVPR24(2931-2941)
IEEE DOI
2410
Degradation, Representation learning, Image quality,
Face recognition, Transformers, Skin, Robustness,
Degradation Learning
BibRef
Zhao, Y.Y.[Yu-Ying],
Wang, M.[Mei],
Hu, J.[Jiani],
Deng, W.H.[Wei-Hong],
Li, C.G.[Chun-Guang],
A perturbed match filtering approach for face image quality
assessment,
PR(164), 2025, pp. 111492.
Elsevier DOI
2504
Face image quality assessment, Face recognition, Match filter,
Feature perturbation, Energy function
BibRef
Aravena, C.[Carlos],
Pasmiño, D.[Diego],
Tapia, J.[Juan],
Busch, C.[Christoph],
Face Image Quality Estimation on Presentation Attack Detection,
CIARP23(I:358-373).
Springer DOI
2312
BibRef
Boutros, F.[Fadi],
Fang, M.L.[Mei-Ling],
Klemt, M.[Marcel],
Fu, B.[Biying],
Damer, N.[Naser],
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative
Classifiability,
CVPR23(5836-5845)
IEEE DOI
2309
BibRef
Najafzadeh, N.[Nima],
Kashiani, H.[Hossein],
Saadabadi, M.S.E.[Mohammad Saeed Ebrahimi],
Talemi, N.A.[Niloufar Alipour],
Malakshan, S.R.[Sahar Rahimi],
Nasrabadi, N.M.[Nasser M.],
Face Image Quality Vector Assessment for Biometrics Applications,
VAQuality23(511-520)
IEEE DOI
2302
Image quality, Face recognition, Neural networks, Lighting,
Multitasking, Convolutional neural networks, Task analysis
BibRef
Ou, F.Z.[Fu-Zhao],
Chen, B.L.[Bao-Liang],
Li, C.Y.[Chong-Yi],
Wang, S.Q.[Shi-Qi],
Kwong, S.[Sam],
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation
for Face Image Quality Assessment,
ICCV23(20661-20672)
IEEE DOI
2401
BibRef
Fu, B.Y.[Bi-Ying],
Damer, N.[Naser],
Explainability of the Implications of Supervised and Unsupervised
Face Image Quality Estimations Through Activation Map Variation
Analyses in Face Recognition Models,
Explain-Bio22(349-358)
IEEE DOI
2202
Image quality, Degradation, Analytical models, Visualization,
Limiting, Face recognition, Conferences
BibRef
Babnik, Ž.[Žiga],
Peer, P.[Peter],
Štruc, V.[Vitomir],
FaceQAN: Face Image Quality Assessment Through Adversarial Noise
Exploration,
ICPR22(748-754)
IEEE DOI
2212
Image quality, Deep learning, Analytical models, Image recognition,
Face recognition, Computational modeling, Source coding
BibRef
Ou, F.Z.[Fu-Zhao],
Li, C.Y.[Chong-Yi],
Wang, S.Q.[Shi-Qi],
Kwong, S.[Sam],
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration,
CVPR24(1694-1704)
IEEE DOI
2410
Q-factor, Image quality, Training, Accuracy, Face recognition, Fitting
BibRef
Ou, F.Z.[Fu-Zhao],
Chen, X.Y.[Xing-Yu],
Zhang, R.X.[Rui-Xin],
Huang, Y.[Yuge],
Li, S.X.[Shao-Xin],
Li, J.L.[Ji-Lin],
Li, Y.[Yong],
Cao, L.J.[Liu-Juan],
Wang, Y.G.[Yuan-Gen],
SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity
Distribution Distance,
CVPR21(7666-7675)
IEEE DOI
2111
Image quality, Training, Measurement,
Image recognition, Uncertainty, Face recognition
BibRef
Chen, K.[Ken],
Wu, Y.C.[Yi-Chao],
Li, Z.M.[Zhen-Mao],
Wu, Y.D.[Yu-Dong],
Liang, D.[Ding],
Face Image Quality Assessment for Model and Human Perception,
ICPR21(3003-3010)
IEEE DOI
2105
Training, Image quality, Adaptation models, Systematics,
Target recognition, Face recognition, Benchmark testing
BibRef
Hernandez-Ortega, J.[Javier],
Fierrez, J.[Julian],
Serna, I.[Ignacio],
Morales, A.[Aythami],
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality
Assessment,
FG21(1-8)
IEEE DOI
2303
Training, Q-factor, Databases, Face recognition, Sociology, Estimation,
Generative adversarial networks
BibRef
Fu, B.Y.[Bi-Ying],
Kirchbuchner, F.[Florian],
Damer, N.[Naser],
The Effect of Wearing a Face Mask on Face Image Quality,
FG4COVID19-21(1-8)
IEEE DOI
2303
Image quality, COVID-19, Visualization, Databases, Face recognition,
Neural networks, Collaboration
BibRef
Long, J.F.[Jian-Feng],
Li, S.T.[Shu-Tao],
Near Infrared Face Image Quality Assessment System of Video Sequences,
ICIG11(275-279).
IEEE DOI
1109
BibRef
Yermakov, A.[Andrii],
Franc, V.[Vojtech],
CNN Based Predictor of Face Image Quality,
MOI2QDN20(679-693).
Springer DOI
2103
BibRef
Terhörst, P.,
Kolf, J.N.,
Damer, N.,
Kirchbuchner, F.,
Kuijper, A.,
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on
Stochastic Embedding Robustness,
CVPR20(5650-5659)
IEEE DOI
2008
Face, Face recognition, Robustness, Image quality,
Stochastic processes, Quality assessment, Measurement
BibRef
Pulecio, C.G.R.,
Benítez-Restrepo, H.D.,
Bovik, A.C.,
Image quality assessment to enhance infrared face recognition,
ICIP17(805-809)
IEEE DOI
1803
Databases, Degradation, Distortion, Face, Face recognition,
Feature extraction, Image quality, Biometrics, Face Recognition,
Natural Scene Statistics
BibRef
Li, C.C.[Cong-Cong],
Gallagher, A.C.[Andrew C.],
Loui, A.C.[Alexander C.],
Chen, T.H.[Tsu-Han],
Aesthetic quality assessment of consumer photos with faces,
ICIP10(3221-3224).
IEEE DOI
1009
BibRef
Sang, J.[Jitao],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Face Image Quality Evaluation for ISO/IEC Standards 19794-5 and 29794-5,
ICB09(229-238).
Springer DOI
0906
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
AI Generated Image Quality Evaluation .