Joint super-resolution-based fast face image coding for human and machine vision

Author:

Shi Wuzhen,Tao Fei,Wen Yang

Funder

National Natural Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Publisher

Springer Science and Business Media LLC

Reference42 articles.

1. Agustsson, E., Mentzer, F., Tschannen, M., Cavigelli, L., Timofte, R., Benini, L., Gool, L.V.: Soft-to-hard vector quantization for end-to-end learning compressible representations. Advances in neural information processing systems 30 (2017)

2. Ballé, J., Laparra, V., Simoncelli, E.P.: End-to-end optimized image compression. In: 5th International Conference on Learning Representations, ICLR 2017 (2017)

3. Ballé, J., Minnen, D., Singh, S., Hwang, S.J., Johnston, N.: Variational image compression with a scale hyperprior. In: International Conference on Learning Representations (2018)

4. Bulat, A., Tzimiropoulos, G.: How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks). In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1021–1030 (2017)

5. Cao, Q., Shen, L., Xie, W., Parkhi, O.M., Zisserman, A.: Vggface2: A dataset for recognising faces across pose and age. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 67–74. IEEE (2018)

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