Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference72 articles.
1. Arias, P., & Morel, J. (2019). Kalman filtering of patches for frame-recursive video denoising. In IEEE conference on computer vision and pattern recognition workshops, CVPR workshops 2019, Long Beach, CA, USA, June 16–20, 2019 (pp. 1917–1926).
2. Bao, W., Lai, W. S., Zhang, X., Gao, Z., & Yang, M. H. (2019). Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence.
3. Bengio, Y., Simard, P., & Frasconi, P. (1994). Learning long-term dependencies with gradient descent is difficult. IEEE transactions on neural networks, 5(2), 157–166.
4. Bertocchi, C., Chouzenoux, E., Corbineau, M. C., Pesquet, J. C., & Prato, M. (2020). Deep unfolding of a proximal interior point method for image restoration. Inverse Problems, 36(3), 034005.
5. Buades, A., Coll, B., & Morel, J. M. (2005). A non-local algorithm for image denoising. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2, 60–65.
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