The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
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Most authors have used face ageing datasets consisting of photographs.
“Most authors have used face ageing datasets consisting of photographs, for example AGFW, CACD, FG-Net or MORPH [14–17].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [16]
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Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
A Discriminative Feature Learning Approach for Deep Face Recognition
Wen, Y., Zhang, K., Li, Z., & Qiao, Y. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46478-7_31 · Cited by 4,077
Flagged first, then by citations
Research works printed but not linked: 27
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- germain, 2015, Made: Masked autoencoder for distribution estimation, ICML, 881
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- 0, FG-Net Aging Database
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Cited by
Sorted by citations
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks
Liu, Y., Li, Q., & Sun, Z. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.01215 · Cited by 156
“In recent years, deep generative models with temporal architectures are adopted to synthesize images of elderly faces [23, 3, 4].”
BackgroundThe Right to Talk: An Audio-Visual Transformer Approach
Truong, T.-D., Duong, C. N., De Vu, T., Pham, H. A., Raj, B., Le, N., & Luu, K. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00114 · Cited by 38
Self-citationKoudelová, J., Hoffmannová, E., Dupej, J., & Velemínská, J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0212618 · Cited by 33
Child Face Age-Progression via Deep Feature Aging
Deb, D., Aggarwal, D., & Jain, A. K. (2020) · arXiv · doi:10.48550/arxiv.2003.08788 · Cited by 4
Metadata
- Authors
- Duong, C. N., Quach, K. G., Luu, K., Le, T. H. N., & Savvides, M.
- Venue
- 2017 IEEE International Conference on Computer Vision (ICCV)
- Publisher
- IEEE
- Published
- 2017-10
- Pages
- 3755-3763
- Cited by
- 65
- References
- 2
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