1 code implementation • 20 Dec 2022 • AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot, Ivan Dokmanić
Our answer is FunkNN -- a new convolutional network which learns how to reconstruct continuous images at arbitrary coordinates and can be applied to any image dataset.
1 code implementation • 9 May 2021 • Anadi Chaman, Ivan Dokmanić
Convolutional neural networks lack shift equivariance due to the presence of downsampling layers.
2 code implementations • CVPR 2021 • Anadi Chaman, Ivan Dokmanić
Thanks to the use of convolution and pooling layers, convolutional neural networks were for a long time thought to be shift-invariant.
2 code implementations • 25 Nov 2020 • Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanić
To close the performance gap, we thus propose a multiscale convolutional dictionary structure.