ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.13926
  4. Cited By
Image to Sphere: Learning Equivariant Features for Efficient Pose
  Prediction

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

27 February 2023
David M. Klee
Ondrej Biza
Robert W. Platt
Robin G. Walters
ArXivPDFHTML

Papers citing "Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction"

12 / 12 papers shown
Title
Equivariant Action Sampling for Reinforcement Learning and Planning
Equivariant Action Sampling for Reinforcement Learning and Planning
Linfeng Zhao
Owen Howell
Xupeng Zhu
Jung Yeon Park
Zhewen Zhang
Robin Walters
Lawson L. S. Wong
89
2
0
16 Dec 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
Jongmin Lee
Minsu Cho
31
1
0
01 Nov 2024
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing
  Shape and Correspondences
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences
Shishir Reddy Vutukur
R. Haugaard
Junwen Huang
Benjamin Busam
Tolga Birdal
26
0
0
10 Sep 2024
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Hao-zhe Huang
Owen Howell
Dian Wang
Xu Zhu
Robin G. Walters
Robert W. Platt
24
22
0
22 Jan 2024
Augmenting x-ray single particle imaging reconstruction with
  self-supervised machine learning
Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning
Zhantao Chen
Cong Wang
Mingye Gao
Chun Hong Yoon
Jana Thayer
Joshua J. Turner
17
0
0
28 Nov 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for
  Representation Learning
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
Florian Bordes
Shashank Shekhar
Mark Ibrahim
Diane Bouchacourt
Pascal Vincent
Ari S. Morcos
17
24
0
08 Aug 2023
Equivariant Single View Pose Prediction Via Induced and Restricted
  Representations
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Owen Howell
David M. Klee
Ondrej Biza
Linfeng Zhao
Robin G. Walters
16
4
0
07 Jul 2023
Making Vision Transformers Truly Shift-Equivariant
Making Vision Transformers Truly Shift-Equivariant
Renan A. Rojas-Gomez
Teck-Yian Lim
Minh N. Do
Raymond A. Yeh
ViT
14
7
0
25 May 2023
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based
  Diffusion on SE(3)
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Tsu-Ching Hsiao
Haoming Chen
Hsuan-Kung Yang
Chun-Yi Lee
DiffM
13
6
0
25 May 2023
SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation
SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation
R. Haugaard
Frederik Hagelskjær
Thorbjørn Mosekjær Iversen
21
9
0
09 Mar 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Dian Wang
Xu Zhu
Jung Yeon Park
Mingxi Jia
Guanang Su
Robert W. Platt
Robin G. Walters
16
13
0
08 Mar 2023
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
102
264
0
25 Apr 2021
1