Learning Rotation Equivariant Features For

May 26, 2026
Media Summary: Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: Deep [ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration Primary authors: Abhishek Peri, Kinal Mehta Paper on arXiv: Work aims to explore

Learning Rotation Equivariant Features For - Detailed Analysis & Overview

Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: Deep [ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration Primary authors: Abhishek Peri, Kinal Mehta Paper on arXiv: Work aims to explore This talk is concerned with a fundamental problem in geometric deep ECCV 2018 Authors: Nichita Diaconu*, Daniel E. Worrall* Paper: Code: ... Teaser video for the presentation CNNs on Surfaces using

Recorded talk for ICLR'23 in Kigali, Rwanda. Abstract: Predicting the pose of objects from a single image is an important but ... 0:00 Standard convolutions are not rotationally

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Learning Rotation-Equivariant Features for Visual Correspondence (CVPR 2023)
CSC2547 CNNs on Surfaces using Rotation Equivariant Features
Equivariant Neural Networks | Part 1/3 - Introduction
Equivariant Neural Networks
[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration
Rotation equivariant and invariant neural networks... - Benjamin Chidester - MLCSB - ISMB/ECCB 2019
ReF - Rotation Equivariant Features for Local Feature Matching
CNNs on Surfaces using Rotation-equivariant Features
CubeNet: Equivariance to 3D Rotation and Translation
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
SIGGRAPH 2020 Fast Forward - CNNs on Surfaces using Rotation-Equivariant Features
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction (ICLR'23)

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Learning Rotation-Equivariant Features for Visual Correspondence (CVPR 2023)

Learning Rotation-Equivariant Features for Visual Correspondence (CVPR 2023)

Learning Rotation

CSC2547 CNNs on Surfaces using Rotation Equivariant Features

CSC2547 CNNs on Surfaces using Rotation Equivariant Features

Title: CNNs on Surfaces using

Equivariant Neural Networks | Part 1/3 - Introduction

Equivariant Neural Networks | Part 1/3 - Introduction

Papers / Resources ▭▭▭ Fabian Fuchs Equivariance: https://fabianfuchsml.github.io/equivariance1of2/ Deep

Equivariant Neural Networks

Equivariant Neural Networks

Link to the presentation: ...

[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration

[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration

[ECCV 2024] PARE-Net: Position-Aware Rotation-Equivariant Networks for Point Cloud Registration

Rotation equivariant and invariant neural networks... - Benjamin Chidester - MLCSB - ISMB/ECCB 2019

Rotation equivariant and invariant neural networks... - Benjamin Chidester - MLCSB - ISMB/ECCB 2019

Rotation equivariant

ReF - Rotation Equivariant Features for Local Feature Matching

ReF - Rotation Equivariant Features for Local Feature Matching

Primary authors: Abhishek Peri, Kinal Mehta Paper on arXiv: https://arxiv.org/abs/2203.05206 Work aims to explore

CNNs on Surfaces using Rotation-equivariant Features

CNNs on Surfaces using Rotation-equivariant Features

This talk is concerned with a fundamental problem in geometric deep

CubeNet: Equivariance to 3D Rotation and Translation

CubeNet: Equivariance to 3D Rotation and Translation

ECCV 2018 Authors: Nichita Diaconu*, Daniel E. Worrall* Paper: https://arxiv.org/abs/1804.04458 Code: ...

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

Rotation

SIGGRAPH 2020 Fast Forward - CNNs on Surfaces using Rotation-Equivariant Features

SIGGRAPH 2020 Fast Forward - CNNs on Surfaces using Rotation-Equivariant Features

Teaser video for the presentation CNNs on Surfaces using

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction (ICLR'23)

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction (ICLR'23)

Recorded talk for ICLR'23 in Kigali, Rwanda. Abstract: Predicting the pose of objects from a single image is an important but ...

Equivariant Convolutions and Tensor Fields — Episode 3: Rotational Equivariance

Equivariant Convolutions and Tensor Fields — Episode 3: Rotational Equivariance

0:00 Standard convolutions are not rotationally