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A Smooth Representation of Belief over SO(3) for Deep Rotation Learning
  with Uncertainty

A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty

1 June 2020
Valentin Peretroukhin
Matthew Giamou
David M. Rosen
W. N. Greene
Nicholas Roy
Jonathan Kelly
ArXivPDFHTML

Papers citing "A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty"

17 / 17 papers shown
Title
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot
  Applications
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications
J. Blumenkamp
Steven D. Morad
Jennifer Gielis
Amanda Prorok
28
4
0
02 May 2024
Unified framework for diffusion generative models in SO(3): applications
  in computer vision and astrophysics
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics
Yesukhei Jagvaral
F. Lanusse
Rachel Mandelbaum
DiffM
35
5
0
18 Dec 2023
Intraoperative 2D/3D Image Registration via Differentiable X-ray
  Rendering
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
Vivek Gopalakrishnan
Neel Dey
Polina Golland
MedIm
27
11
0
11 Dec 2023
Cryo-forum: A framework for orientation recovery with uncertainty
  measure with the application in cryo-EM image analysis
Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysis
Szu-Chi Chung
17
1
0
19 Jul 2023
Kernel Stein Discrepancy on Lie Groups: Theory and Applications
Kernel Stein Discrepancy on Lie Groups: Theory and Applications
Xiaoda Qu
Xiran Fan
B. Vemuri
32
0
0
21 May 2023
Self-supervised learning of object pose estimation using keypoint
  prediction
Self-supervised learning of object pose estimation using keypoint prediction
Zahra Gharaee
Felix Järemo Lawin
Per-Erik Forssén
3DPC
28
1
0
14 Feb 2023
Deep Projective Rotation Estimation through Relative Supervision
Deep Projective Rotation Estimation through Relative Supervision
Brian Okorn
Chuer Pan
M. Hebert
David Held
39
1
0
21 Nov 2022
Learning Interpretable Dynamics from Images of a Freely Rotating 3D
  Rigid Body
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body
J. Mason
Christine Allen-Blanchette
Nicholas Zolman
Elizabeth Davison
Naomi Ehrich Leonard
3DH
AI4CE
35
8
0
23 Sep 2022
Theseus: A Library for Differentiable Nonlinear Optimization
Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda
Taosha Fan
Maurizio Monge
S. Venkataraman
Paloma Sodhi
...
Austin S. Wang
Stuart Anderson
Jing Dong
Brandon Amos
Mustafa Mukadam
24
76
0
19 Jul 2022
Motron: Multimodal Probabilistic Human Motion Forecasting
Motron: Multimodal Probabilistic Human Motion Forecasting
Tim Salzmann
Marco Pavone
Markus Ryll
3DH
28
29
0
08 Mar 2022
Bingham Policy Parameterization for 3D Rotations in Reinforcement
  Learning
Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning
Stephen James
Pieter Abbeel
17
9
0
08 Feb 2022
Pose Representations for Deep Skeletal Animation
Pose Representations for Deep Skeletal Animation
Nefeli Andreou
A. Aristidou
Y. Chrysanthou
3DH
19
8
0
27 Nov 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
32
1,109
0
07 Jul 2021
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation
  Transforms
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms
Shivin Devgon
Jeffrey Ichnowski
Ashwin Balakrishna
Harry Zhang
Ken Goldberg
31
26
0
29 May 2021
Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
Uncertainty-Aware Self-Supervised Learning of Spatial Perception Tasks
Mirko Nava
Antonio Paolillo
Jérôme Guzzi
L. Gambardella
Alessandro Giusti
SSL
16
15
0
22 Mar 2021
Handling Object Symmetries in CNN-based Pose Estimation
Handling Object Symmetries in CNN-based Pose Estimation
Jesse Richter-Klug
Udo Frese
14
11
0
26 Nov 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 2016
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