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Inverse Compositional Spatial Transformer Networks

Inverse Compositional Spatial Transformer Networks

12 December 2016
Chen-Hsuan Lin
Simon Lucey
ArXivPDFHTML

Papers citing "Inverse Compositional Spatial Transformer Networks"

34 / 34 papers shown
Title
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images
Nir Barel
Ron Shapira Weber
Nir Mualem
Shahaf E. Finder
Oren Freifeld
60
1
0
16 Jul 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Johann Schmidt
Sebastian Stober
43
1
0
06 May 2024
Entropy Transformer Networks: A Learning Approach via Tangent Bundle
  Data Manifold
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
Pourya Shamsolmoali
Masoumeh Zareapoor
40
1
0
24 Jul 2023
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose
  Estimation
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation
Yuta Yoshitake
Mai Nishimura
S. Nobuhara
Ko Nishino
ViT
36
2
0
23 Mar 2023
Learning to See Through with Events
Learning to See Through with Events
Lei Yu
Xiang Zhang
Wei Liao
Wentao Yang
Guisong Xia
34
14
0
05 Dec 2022
Spatial Transformation for Image Composition via Correspondence Learning
Spatial Transformation for Image Composition via Correspondence Learning
Bo Zhang
Yue Liu
K. Lu
Li Niu
Liqing Zhang
36
3
0
06 Jul 2022
Perspective Transformation Layer
Perspective Transformation Layer
Nishant Khatri
Agnibh Dasgupta
Yucong Shen
Xinru Zhong
F. Shih
33
3
0
14 Jan 2022
GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
32
67
0
09 Dec 2021
Scale-invariant scale-channel networks: Deep networks that generalise to
  previously unseen scales
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
Ylva Jansson
T. Lindeberg
11
23
0
11 Jun 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
67
108
0
17 Jan 2021
Spatial-Temporal Alignment Network for Action Recognition and Detection
Spatial-Temporal Alignment Network for Action Recognition and Detection
Junwei Liang
Liangliang Cao
Xuehan Xiong
Ting Yu
Alexander G. Hauptmann
3DPC
16
9
0
04 Dec 2020
Volumetric Transformer Networks
Volumetric Transformer Networks
Seungryong Kim
Sabine Süsstrunk
Mathieu Salzmann
ViT
30
5
0
18 Jul 2020
Balanced Alignment for Face Recognition: A Joint Learning Approach
Balanced Alignment for Face Recognition: A Joint Learning Approach
Huawei Wei
Peng Lu
Yichen Wei
CVBM
25
4
0
23 Mar 2020
Deep Image Spatial Transformation for Person Image Generation
Deep Image Spatial Transformation for Person Image Generation
Yurui Ren
Xiaoming Yu
Junming Chen
Thomas H. Li
Ge Li
3DH
3DPC
19
175
0
02 Mar 2020
Medical Image Registration Using Deep Neural Networks: A Comprehensive
  Review
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
H. R. Boveiri
R. Khayami
R. Javidan
A. MehdiZadeh
117
134
0
09 Feb 2020
Explicit Disentanglement of Appearance and Perspective in Generative
  Models
Explicit Disentanglement of Appearance and Perspective in Generative Models
N. Detlefsen
Søren Hauberg
CoGe
DRL
22
47
0
11 Jun 2019
Provably scale-covariant continuous hierarchical networks based on
  scale-normalized differential expressions coupled in cascade
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
T. Lindeberg
27
19
0
29 May 2019
Transformable Bottleneck Networks
Transformable Bottleneck Networks
Kyle Olszewski
Sergey Tulyakov
Oliver J. Woodford
Hao Li
Linjie Luo
37
77
0
13 Apr 2019
Generalized Feedback Loop for Joint Hand-Object Pose Estimation
Generalized Feedback Loop for Joint Hand-Object Pose Estimation
Markus Oberweger
Paul Wohlhart
Vincent Lepetit
3DH
23
72
0
25 Mar 2019
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
Chen-Hsuan Lin
Oliver Wang
Bryan C. Russell
Eli Shechtman
Vladimir G. Kim
Matthew Fisher
Simon Lucey
24
66
0
20 Mar 2019
Equivariant Transformer Networks
Equivariant Transformer Networks
Kai Sheng Tai
Peter Bailis
Gregory Valiant
ViT
19
69
0
25 Jan 2019
A Multi-task Neural Approach for Emotion Attribution, Classification and
  Summarization
A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
Guoyun Tu
Yanwei Fu
Boyang Albert Li
Jiarui Gao
Yu-Gang Jiang
Xiangyang Xue
11
29
0
21 Dec 2018
Taking a Deeper Look at the Inverse Compositional Algorithm
Taking a Deeper Look at the Inverse Compositional Algorithm
Zhaoyang Lv
F. Dellaert
James M. Rehg
Andreas Geiger
3DV
19
48
0
17 Dec 2018
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
R. Clark
Michael Bloesch
J. Czarnowski
Stefan Leutenegger
Andrew J. Davison
14
80
0
09 Sep 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas Griffiths
26
68
0
12 Jul 2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic
  Correspondence
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence
Sangryul Jeon
Seungryong Kim
Dongbo Min
Kwanghoon Sohn
23
62
0
09 Jul 2018
Segmentation of Photovoltaic Module Cells in Uncalibrated
  Electroluminescence Images
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images
S. Deitsch
C. Buerhop‐Lutz
E. Sovetkin
A. Steland
Andreas Maier
F. Gallwitz
Christian Riess
24
62
0
18 Jun 2018
Local Descriptors Optimized for Average Precision
Local Descriptors Optimized for Average Precision
Kun He
Yan Lu
Stan Sclaroff
16
193
0
15 Apr 2018
DeepIM: Deep Iterative Matching for 6D Pose Estimation
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li
Gu Wang
Xiangyang Ji
Yu Xiang
Dieter Fox
3DH
3DPC
29
698
0
31 Mar 2018
Deep Component Analysis via Alternating Direction Neural Networks
Deep Component Analysis via Alternating Direction Neural Networks
Calvin Murdock
Ming-Fang Chang
Simon Lucey
BDL
27
20
0
16 Mar 2018
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image
  Compositing
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin
Ersin Yumer
Oliver Wang
Eli Shechtman
Simon Lucey
GAN
41
222
0
05 Mar 2018
Learning Depth from Monocular Videos using Direct Methods
Learning Depth from Monocular Videos using Direct Methods
Chaoyang Wang
J. M. Buenaposada
Rui Zhu
Simon Lucey
MDE
37
578
0
01 Dec 2017
Learning Efficient Point Cloud Generation for Dense 3D Object
  Reconstruction
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Chen-Hsuan Lin
Chen Kong
Simon Lucey
3DV
38
421
0
21 Jun 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
77
5,253
0
17 Mar 2017
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