Neural Fourier Transform: A General Approach to Equivariant Representation Learning

29 May 2023

Papers citing "Neural Fourier Transform: A General Approach to Equivariant Representation Learning"

4 / 4 papers shown

Title
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato Bernhard Jaeger Max Welling Andreas Geiger ViT 25 14 0 16 Oct 2023
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins Shubham Goel Kenan Deng Achleshwar Luthra Leon L. Xu ... T. F. Y. Vicente T. Dideriksen H. Arora M. Guillaumin Jitendra Malik 146 216 0 12 Oct 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018