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Learning Orientation Distributions for Object Pose Estimation
v1v2 (latest)

Learning Orientation Distributions for Object Pose Estimation

2 July 2020
Brian Okorn
Mengyun Xu
M. Hebert
David Held
ArXiv (abs)PDFHTML

Papers citing "Learning Orientation Distributions for Object Pose Estimation"

10 / 10 papers shown
Title
Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object
  Pose Uncertainty
Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty
Lakshadeep Naik
Thorbjørn Mosekjær Iversen
Aljaz Kramberger
Norbert Kruger
70
2
0
16 Mar 2024
RelPose++: Recovering 6D Poses from Sparse-view Observations
RelPose++: Recovering 6D Poses from Sparse-view Observations
Amy Lin
Jason Y. Zhang
Deva Ramanan
Shubham Tulsiani
3DH
97
61
0
08 May 2023
Learning Implicit Probability Distribution Functions for Symmetric
  Orientation Estimation from RGB Images Without Pose Labels
Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels
Arul Selvam Periyasamy
Luis Denninger
Sven Behnke
55
1
0
21 Nov 2022
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted
  Robot Manipulation
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation
Myung-Hwan Jeon
Jeong-Man Kim
J. Ryu
Ayoung Kim
72
8
0
02 Nov 2022
Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid
  Objects
Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid Objects
Thorbjørn Mosekjær Iversen
R. Haugaard
A. Buch
3DH
72
8
0
20 Sep 2022
RelPose: Predicting Probabilistic Relative Rotation for Single Objects
  in the Wild
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
Jason Y. Zhang
Deva Ramanan
Shubham Tulsiani
115
88
0
11 Aug 2022
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object
  SLAM
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM
Ziqi Lu
Qiangqiang Huang
Kevin Doherty
J. Leonard
71
8
0
20 Jul 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions
  on the Rotation Manifold
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
Kieran A. Murphy
Carlos Esteves
Varun Jampani
Srikumar Ramalingam
A. Makadia
85
78
0
10 Jun 2021
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose
  Estimation
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
Haowen Deng
Mai Bui
Nassir Navab
Leonidas Guibas
Slobodan Ilic
Tolga Birdal
3DH
128
58
0
20 Dec 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Frederik Warburg
Martin Jørgensen
Javier Civera
Søren Hauberg
UQCV
99
37
0
25 Nov 2020
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