Papers citing 'Taking a Deeper Look at the Inverse Compositional Algorithm'

Title
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation Zizhang Wu Zhuozheng Li Zhi-Gang Fan Yunzhe Wu Xiaoquan Wang Rui Tang Jian Pu 139 2 0 26 Sep 2023
ReFit: Recurrent Fitting Network for 3D Human Recovery Yufu Wang Kostas Daniilidis 3DH 108 40 0 22 Aug 2023
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 157 94 0 19 Jul 2022
Reuse your features: unifying retrieval and feature-metric alignment Javier Morlana José M.M. Montiel 130 2 0 13 Apr 2022
Probabilistic Tracking with Deep Factors F. Jiang Andrew Marmon Ildebrando De Courten M. Rasi F. Dellaert 105 1 0 02 Dec 2021
Learning to Fit Morphable Models Vasileios Choutas Federica Bogo Jingjing Shen Julien P. C. Valentin 3DH 174 19 0 29 Nov 2021
View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements Mai Nishimura S. Nobuhara Ko Nishino 146 5 0 09 Nov 2021
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization Mona Gridseth Timothy D. Barfoot SSL 172 30 0 09 Sep 2021
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement Philipp Lindenberger Paul-Edouard Sarlin Viktor Larsson Marc Pollefeys 3DV 140 222 0 18 Aug 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 232 17 0 04 Aug 2021
Deep Lucas-Kanade Homography for Multimodal Image Alignment Yiming Zhao Xinming Huang Ziming Zhang 130 66 0 22 Apr 2021
VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough Zhixiang Min Enrique Dunn 96 19 0 14 Apr 2021
SD-6DoF-ICLK: Sparse and Deep Inverse Compositional Lucas-Kanade Algorithm on SE(3) Timo Hinzmann Roland Siegwart 50 0 0 30 Mar 2021
Tangent Space Backpropagation for 3D Transformation Groups Zachary Teed Jia Deng 217 57 0 22 Mar 2021
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseComputer Vision and Pattern Recognition (CVPR), 2025 Paul-Edouard Sarlin Ajaykumar Unagar Maans Larsson Hugo Germain Carl Toft ... Marc Pollefeys Vincent Lepetit Lars Hammarstrand Fredrik Kahl Torsten Sattler SSL 3DPC 183 269 0 16 Mar 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation Hugo Germain Vincent Lepetit Guillaume Bourmaud 3DV 205 33 0 12 Mar 2021
Unsupervised Metric Relocalization Using Transform Consistency Loss Mike Kasper Fernando Nobre Christoffer Heckman Nima Keivan 65 6 0 01 Nov 2020
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization Lukas von Stumberg Patrick Wenzel Nan Yang Zorah Lähner 98 37 0 13 Oct 2020
PointNetLK Revisited Xueqian Li J. K. Pontes Simon Lucey 3DPC 98 10 0 21 Aug 2020
Neural Non-Rigid TrackingNeural Information Processing Systems (NeurIPS), 2025 Aljavz Bovzivc Pablo Rodríguez Palafox Michael Zollhöfer Angela Dai Justus Thies Matthias Nießner 3DH 3DV 151 62 0 23 Jun 2020
Consistency Guided Scene Flow EstimationEuropean Conference on Computer Vision (ECCV), 2025 Yuhua Chen Luc Van Gool Cordelia Schmid C. Sminchisescu TTA 66 7 0 19 Jun 2020
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without CorrespondencesComputer Vision and Pattern Recognition (CVPR), 2025 Xiaoshui Huang Guofeng Mei Jian Zhang 3DPC 145 262 0 03 May 2020
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement Zehao Yu Shenghua Gao 3DV 190 238 0 29 Mar 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed Jia Deng MDE 745 2,963 0 26 Mar 2020
NeuRoRA: Neural Robust Rotation Averaging Pulak Purkait Tat-Jun Chin Ian Reid 113 57 0 10 Dec 2019
GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization Lukas von Stumberg Patrick Wenzel Qadeer Ahmad Khan Zorah Lähner 88 69 0 26 Apr 2019