Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

9 May 2018

Papers citing "Deep Directional Statistics: Pose Estimation with Uncertainty Quantification"

26 / 26 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 97 4 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 38 0 0 10 Sep 2024
Shape Completion with Prediction of Uncertain Regions Matthias Humt Dominik Winkelbauer Ulrich Hillenbrand 19 4 0 01 Aug 2023
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 23 7 0 25 May 2023
Kernel Stein Discrepancy on Lie Groups: Theory and Applications Xiaoda Qu Xiran Fan B. Vemuri 32 0 0 21 May 2023
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation Yingda Yin Yang Wang He-Nan Wang B. Chen 14 12 0 03 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 29 19 0 27 Feb 2023
AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions Michael A. Alcorn 27 0 0 21 Jan 2023
Efficient data transport over multimode light-pipes with Megapixel images using differentiable ray tracing and Machine-learning Joowon Lim Jannes Gladrow Douglas J Kelly G. O'Shea Govert Verkes Ioan A. Stefanovici Sebastian Nowozin B. Thomsen 17 2 0 16 Jan 2023
Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels Arul Selvam Periyasamy Luis Denninger Sven Behnke 23 1 0 21 Nov 2022
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild Jason Y. Zhang Deva Ramanan Shubham Tulsiani 44 86 0 11 Aug 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering Yingda Yin Yingcheng Cai He-Nan Wang Baoquan Chen 26 16 0 29 Mar 2022
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty Giorgio Cantarini Federico Figari Tomenotti Nicoletta Noceti Francesca Odone 3DH 11 12 0 02 Nov 2021
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions Afshar Shamsi Hamzeh Asgharnezhad AmirReza Tajally Saeid Nahavandi Henry Leung UQCV 44 6 0 07 Oct 2021
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild A. Sengupta Ignas Budvytis R. Cipolla 3DH 28 58 0 03 Oct 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam A. Makadia 20 76 0 10 Jun 2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning Kefan Chen Noah Snavely A. Makadia 3DH 27 57 0 07 Jun 2021
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms Shivin Devgon Jeffrey Ichnowski Ashwin Balakrishna Harry Zhang Ken Goldberg 34 26 0 29 May 2021
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild A. Sengupta Ignas Budvytis R. Cipolla 3DH 22 59 0 19 Mar 2021
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks Ben Saunders Necati Cihan Camgöz Richard Bowden SLR 33 77 0 11 Mar 2021
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation Haowen Deng Mai Bui Nassir Navab Leonidas J. Guibas Slobodan Ilic Tolga Birdal 3DH 28 58 0 20 Dec 2020
Self-Supervised Viewpoint Learning From Image Collections Siva Karthik Mustikovela Varun Jampani Shalini De Mello Sifei Liu Umar Iqbal Carsten Rother Jan Kautz SSL 28 39 0 03 Apr 2020
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture Sena Kiciroglu Helge Rhodin Sudipta N. Sinha Mathieu Salzmann Pascal Fua 17 2 0 18 Dec 2019
Conservative Wasserstein Training for Pose Estimation Xiaofeng Liu Yang Zou Tong Che Peng Ding P. Jia J. You Kumar B.V.K 26 33 0 03 Nov 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Osama Makansi Eddy Ilg Özgün Çiçek Thomas Brox 30 192 0 09 Jun 2019
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres Shuai Liao E. Gavves Cees G. M. Snoek 8 64 0 10 Apr 2019