[1] Yongbing Zhang, Debin Zhao, Jian Zhang, Ruiqin Xiong, and Wen Gao. Interpolation-dependent image downsampling. IEEE Transactions on Image Processing, 20(11):3291-3296, 2011.
[2] Ding-Xuan Zhou. Theory of deep convolutional neural networks: Downsampling. Neural Networks, 124:319-327, 2020.
[3] Christian Bailer, Tewodros Habtegebrial, Didier Stricker, et al. Fast feature extraction with cnns with pooling layers. arXiv preprint arXiv:1805.03096, 2018.
[4] Leif E Peterson. K-nearest neighbor. Scholarpedia, 4(2):1883, 2009.
[5] Michael Lindenbaum, Shaul Markovitch, and Dmitry Rusakov. Selective sampling for nearest neighbor classifiers. Machine learning, 54:125-152, 2004.
[6] Edward A Patrick and Frederic P Fischer III. A generalized k-nearest neighbor rule. Information and Control, 16(2):128-152, 1970.
[7] Richard Zhang. Making convolutional networks shift-invariant again. ArXiv, abs/1904.11486, 2019.
[8] Antonio H. Ribeiro and Thomas Schon. How convolutional neural networks deal with aliasing. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 2755-2759, 2021.
[9] Cristina Nader Vasconcelos, H. Larochelle, Vincent Dumoulin, Nicolas Le Roux, and Ross Goroshin. An effective anti-aliasing approach for residual networks. ArXiv, abs/2011.10675, 2020.
[10] Xueyan Zou, Fanyi Xiao, Zhiding Yu, and Yong Jae Lee. Delving deeper into anti-aliasing in convnets. International Journal of Computer Vision, 131:67–81, 2020.
[11] Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu. On aliased resizing and surprising subtleties in gan evaluation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 11400-11410, 2022.
[12] Shengju Qian, Hao-Chiang Shao, Yi Zhu, Mu Li, and Jiaya Jia. Blending anti-aliasing into vision transformer. In Neural Information Processing Systems, volume 34, pages 5416–5429, 2021.
[13] Hagay Michaeli, Tomer Michaeli, and Daniel Soudry. Alias-free convnets: Fractional shift invariance via polynomial activations. ArXiv, abs/2303.08085, 2023.
[14] Tsung-Yi Lin, Piotr Dollar, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie. Feature pyramid networks for object detection. n Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 936-944, 2016.
[15] Naishan Zheng, Man Zhou, Yanmeng Dong, Xiangyu Rui, Jie Huang, Chongyi Li, and Feng Zhao. Empowering low-light image enhancer through customized learnable priors. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 12559-12569, October 2023.
[16] Xiang Chen, Jinshan Pan, Jiyang Lu, Zhentao Fan, and Hao Li. Hybrid cnn-transformer feature fusion for single image deraining. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 37, pages 378-386, 2023.
[17] Qi Zhu, Naishan Zheng, Jie Huang, Man Zhou, Jinghao Zhang, and Feng Zhao. Learning spatio-temporal sharpness map for video deblurring. IEEE Transactions on Circuits and Systems for Video Technology, 2023.
[18] Qi Zhu, Man Zhou, Naishan Zheng, Chongyi Li, Jie Huang, and Feng Zhao. Exploring temporal frequency spectrum in deep video deblurring. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 12428-12437, 2023.