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Anish Prabhu

2 accepted papers

2022

SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks

ECCV 2022poster

"Recent isotropic networks, such as ConvMixer and Vision Transformers, have found significant success across visual recognition tasks, matching or outperforming non-isotropic Convolutional Neural Networks. Isotropic architectures are particularly well-suited to cross-layer weight sharing, an effecti…

2020

Butterfly Transform: An Efficient FFT Based Neural Architecture Design

CVPR 2020poster

In this paper, we show that extending the butterfly operations from the FFT algorithm to a general Butterfly Transform (BFT) can be beneficial in building an efficient block structure for CNN designs. Pointwise convolutions, which we refer to as channel fusions, are the main computational bottleneck…

Cited by 21PDFScholar