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Taking a Deeper Look at the Inverse Compositional Algorithm
v1v2 (latest)

Taking a Deeper Look at the Inverse Compositional Algorithm

17 December 2018
Zhaoyang Lv
F. Dellaert
James M. Rehg
Andreas Geiger
    3DV
ArXiv (abs)PDFHTML

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

26 / 26 papers shown
Title
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
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
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
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
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
Probabilistic Tracking with Deep Factors
F. Jiang
Andrew Marmon
Ildebrando De Courten
M. Rasi
F. Dellaert
113
1
0
02 Dec 2021
Learning to Fit Morphable Models
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
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
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
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
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
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
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)
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
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
  Pose
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
SSL3DPC
183
269
0
16 Mar 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose
  Estimation
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
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
LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
Lukas von Stumberg
Patrick Wenzel
Nan Yang
Zorah Lähner
102
37
0
13 Oct 2020
PointNetLK Revisited
PointNetLK Revisited
Xueqian Li
J. K. Pontes
Simon Lucey
3DPC
98
10
0
21 Aug 2020
Neural Non-Rigid Tracking
Neural Non-Rigid TrackingNeural Information Processing Systems (NeurIPS), 2025
Aljavz Bovzivc
Pablo Rodríguez Palafox
Michael Zollhöfer
Angela Dai
Justus Thies
Matthias Nießner
3DH3DV
151
62
0
23 Jun 2020
Consistency Guided Scene Flow Estimation
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 Correspondences
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
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
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
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
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
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