Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres

10 April 2019

Papers citing "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres"

21 / 21 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 40 0 0 10 Sep 2024
Semi-Supervised Unconstrained Head Pose Estimation in the Wild Huayi Zhou Fei Jiang Hongtao Lu Yong Rui Hongtao Lu Kui Jia 58 0 0 03 Apr 2024
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation Mu Hu Wei Yin C. Zhang Zhipeng Cai Xiaoxiao Long Kaixuan Wang Kaixuan Wang Gang Yu Chunhua Shen Shaojie Shen 3DGS 54 117 0 22 Mar 2024
PolyMaX: General Dense Prediction with Mask Transformer Xuan S. Yang Liangzhe Yuan Kimberly Wilber Astuti Sharma Xiuye Gu ... Stephanie Debats Huisheng Wang Hartwig Adam Mikhail Sirotenko Liang-Chieh Chen 28 14 0 09 Nov 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 40 8 0 29 May 2023
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation Yingda Yin Yang Wang He Wang B. Chen 17 12 0 03 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin Walters 29 19 0 27 Feb 2023
$Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images$ Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David M. Klee Ondrej Biza Robert W. Platt Robin Walters 26 4 0 18 Jul 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering Yingda Yin Yingcheng Cai He Wang Baoquan Chen 26 16 0 29 Mar 2022
Projective Manifold Gradient Layer for Deep Rotation Regression Jiayi Chen Yingda Yin Tolga Birdal Baoquan Chen Leonidas J. Guibas He Wang 47 33 0 22 Oct 2021
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation Gwangbin Bae Ignas Budvytis R. Cipolla 32 113 0 20 Sep 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 32 57 0 07 Jun 2021
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation Octave Mariotti Hakan Bilen GAN 29 8 0 02 Apr 2021
Deep Regression on Manifolds: A 3D Rotation Case Study Romain Brégier 3DH 13 50 0 30 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
Structured Visual Search via Composition-aware Learning Mert Kilickaya A. Smeulders CoGe 17 5 0 27 Oct 2020
Surface Normal Estimation of Tilted Images via Spatial Rectifier Tien Do Khiem Vuong S. Roumeliotis H. Park 24 42 0 17 Jul 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 31 39 0 03 Apr 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019