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Projective Manifold Gradient Layer for Deep Rotation Regression

22 October 2021

Papers citing "Projective Manifold Gradient Layer for Deep Rotation Regression"

32 / 32 papers shown

Title
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Yingda Yin Jiangran Lyu Yang Wang Heru Wang Hongan Wang Bin Chen OOD 226 4 0 24 Feb 2025
Deep Regression on Manifolds: A 3D Rotation Case Study Romain Brégier 3DH 68 58 0 30 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 67 99 0 25 Mar 2021
Tangent Space Backpropagation for 3D Transformation Groups Zachary Teed Jia Deng 79 54 0 22 Mar 2021
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization Jiahui Huang He Wang Tolga Birdal Minhyuk Sung F. Arrigoni Shimin Hu Leonidas Guibas 3DPC 183 54 0 17 Jan 2021
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation Haowen Deng Mai Bui Nassir Navab Leonidas Guibas Slobodan Ilic Tolga Birdal 3DH 97 58 0 20 Dec 2020
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments Siyan Dong Qingnan Fan He Wang Ji Shi Li Yi Thomas Funkhouser Baoquan Chen Leonidas Guibas 3DV 3DPC 43 27 0 08 Dec 2020
An Analysis of SVD for Deep Rotation Estimation J. Levinson Carlos Esteves Kefan Chen Noah Snavely Angjoo Kanazawa Afshin Rostamizadeh A. Makadia 78 94 0 25 Jun 2020
Self6D: Self-Supervised Monocular 6D Object Pose Estimation Gu Wang Fabian Manhardt Jianzhun Shao Xiangyang Ji Nassir Navab Federico Tombari SSL MDE 67 135 0 14 Apr 2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference Mai Bui Tolga Birdal Haowen Deng Shadi Albarqouni Leonidas Guibas Slobodan Ilic Nassir Navab 47 26 0 09 Apr 2020
Learning multiview 3D point cloud registration Zan Gojcic Caifa Zhou Jan Dirk Wegner Leonidas Guibas Tolga Birdal 3DPC 77 166 0 15 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas Guibas Federico Tombari 3DPC 101 89 0 27 Dec 2019
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope Tolga Birdal Umut Simsekli 65 38 0 11 Apr 2019
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres Shuai Liao E. Gavves Cees G. M. Snoek 82 66 0 10 Apr 2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion Chen Wang Danfei Xu Yuke Zhu Roberto Martín-Martín Cewu Lu Li Fei-Fei Silvio Savarese MDE 107 958 0 15 Jan 2019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation He Wang Srinath Sridhar Jingwei Huang Julien P. C. Valentin Shuran Song Leonidas Guibas 113 696 0 09 Jan 2019
On the Continuity of Rotation Representations in Neural Networks Yi Zhou Connelly Barnes Jingwan Lu Jimei Yang Hao Li 3DH 77 1,294 0 17 Dec 2018
Deep Part Induction from Articulated Object Pairs L. Yi Haibin Huang Difan Liu E. Kalogerakis Hao Su Leonidas Guibas 3DPC 64 107 0 19 Sep 2018
Occlusion Resistant Object Rotation Regression from Point Cloud Segments Ge Gao M. Lauri Jianwei Zhang Simone Frintrop 3DPC 71 24 0 16 Aug 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC Tolga Birdal Umut Simsekli M. Eken Slobodan Ilic 61 38 0 31 May 2018
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry Benjamin Hou Nina Miolane Bishesh Khanal M. J. Lee A. Alansary Jingyu Sun Joseph V. Hajnal Daniel Rueckert Ben Glocker Bernhard Kainz MedIm 41 29 0 02 May 2018
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image Thanh-Toan Do Mingpeng Cai Trung T. Pham Ian Reid 3DH 55 152 0 28 Feb 2018
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes Yu Xiang Tanner Schmidt V. Narayanan Dieter Fox 3DPC 144 1,957 0 01 Nov 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 354 11,139 0 07 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,858 0 17 Apr 2017
Geometric Loss Functions for Camera Pose Regression with Deep Learning Alex Kendall R. Cipolla 3DH 126 767 0 02 Apr 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo Benjamin Ummenhofer Huizhong Zhou J. Uhrig N. Mayer Eddy Ilg Alexey Dosovitskiy Thomas Brox 3DV MDE 106 702 0 07 Dec 2016
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 169 2,241 0 02 Dec 2016
Image-based localization using LSTMs for structured feature correlation F. Walch C. Hazirbas Laura Leal-Taixé Torsten Sattler S. Hilsenbeck Daniel Cremers 70 496 0 23 Nov 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds Hongyi Zhang Sashank J. Reddi S. Sra 102 241 0 23 May 2016
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Hao Su C. Qi Yangyan Li Leonidas Guibas 99 737 0 21 May 2015
Viewpoints and Keypoints Shubham Tulsiani Jitendra Malik 74 398 0 22 Nov 2014