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COTR: Correspondence Transformer for Matching Across Images

COTR: Correspondence Transformer for Matching Across Images

25 March 2021
Wei Jiang
Eduard Trulls
J. Hosang
Andrea Tagliasacchi
K. M. Yi
    ViT
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Papers citing "COTR: Correspondence Transformer for Matching Across Images"

50 / 51 papers shown
Title
Edicho: Consistent Image Editing in the Wild
Edicho: Consistent Image Editing in the Wild
Qingyan Bai
Hao Ouyang
Yinghao Xu
Qiuyu Wang
Ceyuan Yang
Ka Leong Cheng
Yujun Shen
Qifeng Chen
DiffM
96
1
0
30 Dec 2024
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni
Guofeng Zhang
Guanglin Li
Yijin Li
Xinyang Liu
Zhaoyang Huang
Hujun Bao
ViT
78
2
0
30 Oct 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
89
0
0
18 Mar 2024
LoFTR: Detector-Free Local Feature Matching with Transformers
LoFTR: Detector-Free Local Feature Matching with Transformers
Jiaming Sun
Zehong Shen
Yuang Wang
Hujun Bao
Xiaowei Zhou
ViT
45
1,158
0
01 Apr 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
180
40,217
0
22 Oct 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your
  Neural Network
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
49
76
0
16 Sep 2020
Improving the HardNet Descriptor
Improving the HardNet Descriptor
M. Pultar
3DV
16
8
0
19 Jul 2020
DISK: Learning local features with policy gradient
DISK: Learning local features with policy gradient
M. Tyszkiewicz
Pascal Fua
Eduard Trulls
OffRL
53
369
0
24 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
233
12,847
0
26 May 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
170
2,583
0
26 Mar 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri
Meirav Galun
Amnon Geifman
David Jacobs
Yoni Kasten
S. Kritchman
52
184
0
10 Mar 2020
Image Matching across Wide Baselines: From Paper to Practice
Image Matching across Wide Baselines: From Paper to Practice
Yuhe Jin
Dmytro Mishkin
Anastasiia Mishchuk
Jirí Matas
Pascal Fua
K. M. Yi
Eduard Trulls
3DV
57
363
0
03 Mar 2020
GLU-Net: Global-Local Universal Network for Dense Flow and
  Correspondences
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
Prune Truong
Martin Danelljan
Radu Timofte
3DPC
28
184
0
11 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
118
42,038
0
03 Dec 2019
Reinforced Feature Points: Optimizing Feature Detection and Description
  for a High-Level Task
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
Aritra Bhowmik
Stefan Gumhold
Carsten Rother
Eric Brachmann
52
81
0
02 Dec 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
OffRL
66
1,907
0
26 Nov 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon
Y. Lipman
3DPC
FedML
69
507
0
23 Nov 2019
Beyond Cartesian Representations for Local Descriptors
Beyond Cartesian Representations for Local Descriptors
Patrick Ebel
Anastasiia Mishchuk
K. M. Yi
Pascal Fua
Eduard Trulls
80
78
0
15 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
40
309
0
14 Aug 2019
Large-scale, real-time visual-inertial localization revisited
Large-scale, real-time visual-inertial localization revisited
Simon Lynen
Bernhard Zeisl
Dror Aiger
M. Bosse
Joel A. Hesch
Marc Pollefeys
Roland Siegwart
Torsten Sattler
31
90
0
30 Jun 2019
R2D2: Repeatable and Reliable Detector and Descriptor
R2D2: Repeatable and Reliable Detector and Descriptor
Jérôme Revaud
Philippe Weinzaepfel
César Roberto de Souza
Noé Pion
G. Csurka
Yohann Cabon
Martin Humenberger
58
475
0
14 Jun 2019
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
Eric Brachmann
Carsten Rother
32
244
0
10 May 2019
D2-Net: A Trainable CNN for Joint Detection and Description of Local
  Features
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Mihai Dusmanu
Ignacio Rocco
Tomas Pajdla
Marc Pollefeys
Josef Sivic
Akihiko Torii
Torsten Sattler
28
679
0
09 May 2019
SOSNet: Second Order Similarity Regularization for Local Descriptor
  Learning
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
Yurun Tian
Xin-Yao Yu
Bin Fan
Fuchao Wu
Huub Heijnen
Vassileios Balntas
41
328
0
10 Apr 2019
Neural Rerendering in the Wild
Neural Rerendering in the Wild
Moustafa Meshry
Dan B. Goldman
S. Khamis
Hugues Hoppe
Rohit Pandey
Noah Snavely
Ricardo Martín Brualla
3DH
28
209
0
08 Apr 2019
Linearized Multi-Sampling for Differentiable Image Transformation
Linearized Multi-Sampling for Differentiable Image Transformation
Wei Jiang
Weiwei Sun
Andrea Tagliasacchi
Eduard Trulls
K. M. Yi
37
23
0
22 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
75
3,654
0
16 Jan 2019
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin
Cesar Cadena
Roland Siegwart
Marcin Dymczyk
3DV
39
865
0
09 Dec 2018
Neighbourhood Consensus Networks
Neighbourhood Consensus Networks
Ignacio Rocco
Mircea Cimpoi
Relja Arandjelović
Akihiko Torii
Tomas Pajdla
Josef Sivic
46
386
0
24 Oct 2018
DGC-Net: Dense Geometric Correspondence Network
DGC-Net: Dense Geometric Correspondence Network
Iaroslav Melekhov
A. Tiulpin
Torsten Sattler
Marc Pollefeys
Esa Rahtu
Arno Solin
35
120
0
19 Oct 2018
Models Matter, So Does Training: An Empirical Study of CNNs for Optical
  Flow Estimation
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
29
195
0
14 Sep 2018
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
79
1,408
0
22 Jun 2018
LF-Net: Learning Local Features from Images
LF-Net: Learning Local Features from Images
Y. Ono
Eduard Trulls
Pascal Fua
K. M. Yi
58
526
0
24 May 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li
Noah Snavely
MDE
3DV
69
1,008
0
02 Apr 2018
MAGSAC: marginalizing sample consensus
MAGSAC: marginalizing sample consensus
Dániel Baráth
Jana Noskova
Jirí Matas
29
275
0
20 Mar 2018
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
250
1,398
0
01 Feb 2018
SuperPoint: Self-Supervised Interest Point Detection and Description
SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
99
2,424
0
20 Dec 2017
Learning to Find Good Correspondences
Learning to Find Good Correspondences
K. M. Yi
Eduard Trulls
Y. Ono
Vincent Lepetit
Mathieu Salzmann
Pascal Fua
3DV
44
477
0
16 Nov 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
222
2,435
0
07 Sep 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
319
129,831
0
12 Jun 2017
Working hard to know your neighbor's margins: Local descriptor learning
  loss
Working hard to know your neighbor's margins: Local descriptor learning loss
A. Mishchuk
Dmytro Mishkin
Filip Radenovic
Jirí Matas
59
689
0
30 May 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
94
2,564
0
25 Apr 2017
HPatches: A benchmark and evaluation of handcrafted and learned local
  descriptors
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Vassileios Balntas
Karel Lenc
Andrea Vedaldi
K. Mikolajczyk
72
718
0
19 Apr 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo
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
74
701
0
07 Dec 2016
LIFT: Learned Invariant Feature Transform
LIFT: Learned Invariant Feature Transform
K. M. Yi
Eduard Trulls
Vincent Lepetit
Pascal Fua
88
1,203
0
30 Mar 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
81
5,008
0
22 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
247
7,361
0
05 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
226
4,159
0
26 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
527
149,474
0
22 Dec 2014
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