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Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose
  Estimation

Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation

International Journal of Computer Vision (IJCV), 2020
20 December 2020
Haowen Deng
Mai Bui
Nassir Navab
Leonidas Guibas
Slobodan Ilic
Tolga Birdal
    3DH
ArXiv (abs)PDFHTML

Papers citing "Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation"

39 / 39 papers shown
Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?
Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?
Giorgos Sfikas
Konstantina Nikolaidou
Foteini Papadopoulou
George Retsinas
Anastasios L. Kesidis
122
0
0
04 Nov 2025
Quantifying Epistemic Uncertainty in Absolute Pose Regression
Quantifying Epistemic Uncertainty in Absolute Pose RegressionScandinavian Conference on Image Analysis (SCIA), 2025
Fereidoon Zangeneh
A. Dekel
Alessandro Pieropan
Patric Jensfelt
241
0
0
09 Apr 2025
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace DistributionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yingda Yin
Jiangran Lyu
Yang Wang
Heru Wang
Hongan Wang
Bin Chen
OOD
583
7
0
24 Feb 2025
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
3D Equivariant Pose Regression via Direct Wigner-D Harmonics PredictionNeural Information Processing Systems (NeurIPS), 2024
Jongmin Lee
Minsu Cho
437
4
0
01 Nov 2024
Conditional Variational Autoencoders for Probabilistic Pose Regression
Conditional Variational Autoencoders for Probabilistic Pose RegressionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Fereidoon Zangeneh
Leonard Bruns
A. Dekel
Alessandro Pieropan
Patric Jensfelt
DRL
475
2
0
07 Oct 2024
A Planar-Symmetric SO(3) Representation for Learning Grasp Detection
A Planar-Symmetric SO(3) Representation for Learning Grasp DetectionConference on Robot Learning (CoRL), 2024
Tianyi Ko
Takuya Ikeda
Hiroya Sato
Koichi Nishiwaki
300
1
0
07 Oct 2024
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing
  Shape and Correspondences
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and CorrespondencesEuropean Conference on Computer Vision (ECCV), 2024
Shishir Reddy Vutukur
R. Haugaard
Junwen Huang
Benjamin Busam
Tolga Birdal
431
3
0
10 Sep 2024
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose
  Estimation
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation
Philipp Quentin
Daniel Goehring
353
0
0
05 Sep 2024
Uncertainty Quantification with Deep Ensembles for 6D Object Pose
  Estimation
Uncertainty Quantification with Deep Ensembles for 6D Object Pose EstimationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), 2024
Kira Wursthorn
Markus Hillemann
Markus Ulrich
285
14
0
12 Mar 2024
HR-APR: APR-agnostic Framework with Uncertainty Estimation and
  Hierarchical Refinement for Camera Relocalisation
HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Changkun Liu
Shuai Chen
Yukun Zhao
Huajian Huang
V. Prisacariu
Tristan Braud
270
18
0
22 Feb 2024
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal
  Category-level Pose Estimation
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation
Takuya Ikeda
Sergey Zakharov
Tianyi Ko
Muhammad Zubair Irshad
Robert Lee
Katherine Liu
Rares Andrei Ambrus
Koichi Nishiwaki
DiffM
242
29
0
20 Feb 2024
MobileARLoc: On-device Robust Absolute Localisation for Pervasive
  Markerless Mobile AR
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR
Changkun Liu
Yukun Zhao
Tristan Braud
246
2
0
21 Jan 2024
KS-APR: Keyframe Selection for Robust Absolute Pose Regression
KS-APR: Keyframe Selection for Robust Absolute Pose Regression
Changkun Liu
Yukun Zhao
Tristan Braud
253
0
0
10 Aug 2023
Robust Localization with Visual-Inertial Odometry Constraints for
  Markerless Mobile AR
Robust Localization with Visual-Inertial Odometry Constraints for Markerless Mobile AR
Changkun Liu
Yukun Zhao
Tristan Braud
241
0
0
10 Aug 2023
Equivariant Single View Pose Prediction Via Induced and Restricted
  Representations
Equivariant Single View Pose Prediction Via Induced and Restricted RepresentationsNeural Information Processing Systems (NeurIPS), 2023
Owen Howell
David Klee
Ondrej Biza
Linfeng Zhao
Robin Walters
271
9
0
07 Jul 2023
A Probabilistic Rotation Representation for Symmetric Shapes With an
  Efficiently Computable Bingham Loss Function
A Probabilistic Rotation Representation for Symmetric Shapes With an Efficiently Computable Bingham Loss FunctionIEEE International Conference on Robotics and Automation (ICRA), 2023
Hiroya Sato
Takuya Ikeda
Koichi Nishiwaki
153
5
0
30 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)Computer Vision and Pattern Recognition (CVPR), 2023
Tsu-Ching Hsiao
Haoming Chen
Hsuan-Kung Yang
Chun-Yi Lee
DiffM
300
17
0
25 May 2023
Kernel Stein Discrepancy on Lie Groups: Theory and Applications
Kernel Stein Discrepancy on Lie Groups: Theory and ApplicationsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Xiaoda Qu
Xiran Fan
B. Vemuri
450
0
0
21 May 2023
Delving into Discrete Normalizing Flows on SO(3) Manifold for
  Probabilistic Rotation Modeling
Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation ModelingComputer Vision and Pattern Recognition (CVPR), 2023
Yulin Liu
Haoran Liu
Yingda Yin
Yang Wang
Baoquan Chen
Heru Wang
267
20
0
08 Apr 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
244
17
0
09 Mar 2023
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation
  Estimation
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation EstimationInternational Conference on Learning Representations (ICLR), 2023
Yingda Yin
Yang Wang
He Wang
Bin Chen
309
13
0
03 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose
  Prediction
Image to Sphere: Learning Equivariant Features for Efficient Pose PredictionInternational Conference on Learning Representations (ICLR), 2023
David Klee
Ondrej Biza
Robert Platt
Robin Walters
271
24
0
27 Feb 2023
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions
Michael A. Alcorn
284
2
0
21 Jan 2023
RGB-D-Based Categorical Object Pose and Shape Estimation: Methods,
  Datasets, and Evaluation
RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation
Leonard Bruns
Patric Jensfelt
360
11
0
19 Jan 2023
A Probabilistic Framework for Visual Localization in Ambiguous Scenes
A Probabilistic Framework for Visual Localization in Ambiguous ScenesIEEE International Conference on Robotics and Automation (ICRA), 2023
Fereidoon Zangeneh
Leonard Bruns
A. Dekel
Alessandro Pieropan
Patric Jensfelt
225
13
0
05 Jan 2023
Towards Explainability in Modular Autonomous Vehicle Software
Towards Explainability in Modular Autonomous Vehicle Software
Hongrui Zheng
Zirui Zang
Shuo Yang
Rahul Mangharam
298
0
0
01 Dec 2022
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 LabelsInternational Conference on Robotic Computing (IRC), 2022
Arul Selvam Periyasamy
Luis Denninger
Sven Behnke
245
1
0
21 Nov 2022
Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D
  Sequences
Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D SequencesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Yuxin Huang
Yongliang Shi
Zirui Wu
Yuantao Chen
Runyi Yang
Z. Zhu
Chao Hou
Hao Zhao
Guyue Zhou
3DH
302
0
0
14 Nov 2022
Uncertainty-Aware DNN for Multi-Modal Camera Localization
Uncertainty-Aware DNN for Multi-Modal Camera LocalizationInternational Conference on Informatics in Control, Automation and Robotics (ICINCO), 2022
Matteo Vaghi
Augusto Luis Ballardini
S. Fontana
D. Sorrenti
UQCVEDL
256
2
0
02 Nov 2022
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted
  Robot Manipulation
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot ManipulationIEEE Robotics and Automation Letters (RA-L), 2022
Myung-Hwan Jeon
Jeong-Man Kim
J. Ryu
Ayoung Kim
318
10
0
02 Nov 2022
Local_INN: Implicit Map Representation and Localization with Invertible
  Neural Networks
Local_INN: Implicit Map Representation and Localization with Invertible Neural NetworksIEEE International Conference on Robotics and Automation (ICRA), 2022
Zirui Zang
Hongrui Zheng
Johannes Betz
Rahul Mangharam
195
8
0
24 Sep 2022
Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid
  Objects
Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid ObjectsBritish Machine Vision Conference (BMVC), 2022
Thorbjørn Mosekjær Iversen
R. Haugaard
A. Buch
3DH
255
9
0
20 Sep 2022
6D Camera Relocalization in Visually Ambiguous Extreme Environments
6D Camera Relocalization in Visually Ambiguous Extreme Environments
Yang Zheng
Tolga Birdal
Fei Xia
Yanchao Yang
Yueqi Duan
Leonidas Guibas
177
2
0
13 Jul 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based
  Filtering
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based FilteringComputer Vision and Pattern Recognition (CVPR), 2022
Yingda Yin
Yingcheng Cai
He Wang
Baoquan Chen
311
22
0
29 Mar 2022
Probabilistic Rotation Representation With an Efficiently Computable
  Bingham Loss Function and Its Application to Pose Estimation
Probabilistic Rotation Representation With an Efficiently Computable Bingham Loss Function and Its Application to Pose Estimation
Hiroya Sato
Takuya Ikeda
Koichi Nishiwaki
286
1
0
09 Mar 2022
Projective Manifold Gradient Layer for Deep Rotation Regression
Projective Manifold Gradient Layer for Deep Rotation RegressionComputer Vision and Pattern Recognition (CVPR), 2021
Jiayi Chen
Yingda Yin
Tolga Birdal
Baoquan Chen
Leonidas Guibas
He Wang
361
46
0
22 Oct 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions
  on the Rotation Manifold
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation ManifoldInternational Conference on Machine Learning (ICML), 2021
Kieran A. Murphy
Carlos Esteves
Varun Jampani
Srikumar Ramalingam
A. Makadia
323
91
0
10 Jun 2021
Weakly Supervised Learning of Rigid 3D Scene Flow
Weakly Supervised Learning of Rigid 3D Scene FlowComputer Vision and Pattern Recognition (CVPR), 2021
Zan Gojcic
Or Litany
A. Wieser
Leonidas Guibas
Tolga Birdal
3DPC
349
100
0
17 Feb 2021
Quantum Permutation Synchronization
Quantum Permutation SynchronizationComputer Vision and Pattern Recognition (CVPR), 2021
Tolga Birdal
Vladislav Golyanik
Christian Theobalt
Leonidas Guibas
256
43
0
19 Jan 2021
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