Occlusion Resistant Object Rotation Regression from Point Cloud Segments

16 August 2018

Papers citing "Occlusion Resistant Object Rotation Regression from Point Cloud Segments"

9 / 9 papers shown

Title
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Yingda Yin Jiangran Lyu Yang Wang Heru Wang H. Wang Bin Chen OOD 105 4 0 24 Feb 2025
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose Yichen Zhang Jiehong Lin Ke Chen Zelin Xu Yaowei Wang Kui Jia OOD 36 2 0 18 May 2023
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation Yingda Yin Yang Wang He Wang Bin Chen 17 12 0 03 Mar 2023
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian Zhiwen Cao Dongfang Liu Qifan Wang Victor Y. Chen CVBM 27 16 0 19 Aug 2022
Projective Manifold Gradient Layer for Deep Rotation Regression Jiayi Chen Yingda Yin Tolga Birdal Baoquan Chen Leonidas J. Guibas He Wang 49 33 0 22 Oct 2021
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds Ge Gao M. Lauri Xiaolin Hu Jianwei Zhang Simone Frintrop 3DPC 3DH 28 38 0 02 Mar 2021
A Hybrid Approach for 6DoF Pose Estimation Rebecca König Bertram Drost 3DPC 16 27 0 11 Nov 2020
6D Object Pose Regression via Supervised Learning on Point Clouds Ge Gao M. Lauri Yulong Wang Xiaolin Hu Jianwei Zhang Simone Frintrop 3DPC 19 81 0 24 Jan 2020
On the Continuity of Rotation Representations in Neural Networks Yi Zhou Connelly Barnes Jingwan Lu Jimei Yang Hao Li 3DH 9 1,254 0 17 Dec 2018