The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks
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Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
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Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.81 · Cited by 32,684
Object Detection with Discriminatively Trained Part-Based Models
Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.167 · Cited by 9,853
Cootes, T. F., Edwards, G. J., & Taylor, C. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927467 · Cited by 5,409
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1512.03385 · Cited by 4,196
Cited by
Karkkainen, K., & Joo, J. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv48630.2021.00159 · Cited by 527
Deep Label Distribution Learning With Label Ambiguity
Gao, B.-B., Xing, C., Xie, C.-W., Wu, J., & Geng, X. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2689998 · Cited by 508
Lu, Y., Kumar, A., Zhai, S., Cheng, Y., Javidi, T., & Feris, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.126 · Cited by 371
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Raji, I. D., Gebru, T., Mitchell, M., Buolamwini, J., Lee, J., & Denton, R. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3375627.3375820 · Cited by 299
Gao, Y., Ma, J., Zhao, M., Liu, W., & Yuille, A. L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00332 · Cited by 284
Metadata
- Authors
- Rothe, R., Timofte, R., & Van Gool, L.
- Venue
- International Journal of Computer Vision
- Published
- 2016-08-10
- Volume
- 126
- Issue
- 2-4
- Pages
- 144-157
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2510725918
- Cited by
- 896
- References
- 8
- FWCI
- 52.26
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks. https://app.cochat.ai/papers/10.1007/s11263-016-0940-3
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- Rothe, R., Timofte, R., & Van Gool, L. (2018). Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks. International Journal of Computer Vision. https://doi.org/10.1007/s11263-016-0940-3
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
