Cross-Domain 3D Equivariant Image Embeddings

6 December 2018

Papers citing "Cross-Domain 3D Equivariant Image Embeddings"

10 / 10 papers shown

Title
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin Walters 29 19 0 27 Feb 2023
Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels Arul Selvam Periyasamy Luis Denninger Sven Behnke 23 1 0 21 Nov 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei Chen Jia Zhang Tie-Yan Liu 61 80 0 26 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam A. Makadia 20 76 0 10 Jun 2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning Kefan Chen Noah Snavely A. Makadia 3DH 35 57 0 07 Jun 2021
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation Octave Mariotti Hakan Bilen GAN 29 8 0 02 Apr 2021
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 27 41 0 10 Apr 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019
6-DoF Object Pose from Semantic Keypoints Georgios Pavlakos Xiaowei Zhou Aaron Chan Konstantinos G. Derpanis Kostas Daniilidis 105 392 0 14 Mar 2017