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

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

20 December 2020

Nassir Navab

Leonidas J. Guibas

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

10 / 10 papers shown

Title
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Yingda Yin Jiangran Lyu Yang Wang Heru Wang H. Wang B. Chen OOD 77 3 0 24 Feb 2025
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences Shishir Reddy Vutukur R. Haugaard Junwen Huang Benjamin Busam Tolga Birdal 15 0 0 10 Sep 2024
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 27 9 0 22 Feb 2024
Kernel Stein Discrepancy on Lie Groups: Theory and Applications Xiaoda Qu Xiran Fan B. Vemuri 11 0 0 21 May 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 10 17 0 27 Feb 2023
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 10 0 0 01 Dec 2022
Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D Sequences Yuxin Huang Yongliang Shi Zirui Wu Yuantao Chen Runyi Yang Z. Zhu Chao Hou Hao Zhao Guyue Zhou 3DH 15 0 0 14 Nov 2022
Probabilistic Rotation Representation With an Efficiently Computable Bingham Loss Function and Its Application to Pose Estimation Hiroya Sato Takuya Ikeda Koichi Nishiwaki 25 1 0 09 Mar 2022
Projective Manifold Gradient Layer for Deep Rotation Regression Jiayi Chen Yingda Yin Tolga Birdal Baoquan Chen Leonidas J. Guibas He-Nan Wang 24 33 0 22 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015