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MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
v1v2v3 (latest)

MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations

20 December 2023
Tonmoy Hossain
Miaomiao Zhang
ArXiv (abs)PDFHTML

Papers citing "MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations"

50 / 52 papers shown
Title
CoRLD: Contrastive Representation Learning Of Deformable Shapes In Images
CoRLD: Contrastive Representation Learning Of Deformable Shapes In Images
Tonmoy Hossain
Miaomiao Zhang
104
0
0
21 Mar 2025
Invariant Shape Representation Learning For Image Classification
Invariant Shape Representation Learning For Image Classification
Tonmoy Hossain
Jing Ma
Jundong Li
Miaomiao Zhang
146
2
0
19 Nov 2024
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
Nivetha Jayakumar
Tonmoy Hossain
Miaomiao Zhang
DiffM
81
6
0
06 Sep 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
DiffMVLM
116
257
0
07 Feb 2023
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised
  Semantic Segmentation
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Zhen Zhao
Lihe Yang
Sifan Long
Jimin Pi
Luping Zhou
Jingdong Wang
117
78
0
09 Dec 2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Jian Wang
Miaomiao Zhang
82
10
0
25 Oct 2022
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GANMedIm
125
42
0
07 Aug 2021
GLASS: Geometric Latent Augmentation for Shape Spaces
GLASS: Geometric Latent Augmentation for Shape Spaces
Sanjeev Muralikrishnan
S. Chaudhuri
Noam Aigerman
Vladimir G. Kim
Matthew Fisher
Niloy Mitra
GAN
71
16
0
06 Aug 2021
Bayesian Atlas Building with Hierarchical Priors for Subject-specific
  Regularization
Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization
Jian Wang
Miaomiao Zhang
99
10
0
12 Jul 2021
Self-supervised Augmentation Consistency for Adapting Semantic
  Segmentation
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov
Stefan Roth
95
231
0
30 Apr 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a
  Geometry-Based Variational Autoencoder
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
129
69
0
30 Apr 2021
Enabling Data Diversity: Efficient Automatic Augmentation via
  Regularized Adversarial Training
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
Yunhe Gao
Zhiqiang Tang
Mu Zhou
Dimitris N. Metaxas
MedIm
49
18
0
30 Mar 2021
Data Augmentation with Variational Autoencoders and Manifold Sampling
Data Augmentation with Variational Autoencoders and Manifold Sampling
Clément Chadebec
S. Allassonnière
DRL
72
26
0
25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViTMedIm
200
1,636
0
18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
Samuel G. Müller
Frank Hutter
ViTMQ
104
293
0
18 Mar 2021
TransUNet: Transformers Make Strong Encoders for Medical Image
  Segmentation
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
ViTMedIm
172
3,543
0
08 Feb 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
770
41,877
0
22 Oct 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang
Yunhe Gao
Leonid Karlinsky
P. Sattigeri
Rogerio Feris
Dimitris N. Metaxas
65
58
0
17 Jul 2020
Semi-supervised Task-driven Data Augmentation for Medical Image
  Segmentation
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
Ertunc Erdil
Anton S. Becker
O. Donati
E. Konukoglu
MedIm
109
93
0
09 Jul 2020
Anatomical Data Augmentation via Fluid-based Image Registration
Anatomical Data Augmentation via Fluid-based Image Registration
Zhengyang Shen
Zhenlin Xu
Sahin Olut
Marc Niethammer
MedIm
51
14
0
05 Jul 2020
MvMM-RegNet: A new image registration framework based on multivariate
  mixture model and neural network estimation
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
Xinzhe Luo
Xiahai Zhuang
76
17
0
28 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
1.0K
18,531
0
19 Jun 2020
PointGMM: a Neural GMM Network for Point Clouds
PointGMM: a Neural GMM Network for Point Clouds
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
3DPC
145
65
0
30 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
783
10,591
0
17 Feb 2020
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OODUQCV
204
1,313
0
05 Dec 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
406
3,519
0
30 Sep 2019
Mixture Probabilistic Principal Geodesic Analysis
Mixture Probabilistic Principal Geodesic Analysis
Youshan Zhang
Jiarui Xing
Miaomiao Zhang
37
5
0
03 Sep 2019
Learning Conditional Deformable Templates with Convolutional Networks
Learning Conditional Deformable Templates with Convolutional Networks
Adrian Dalca
Marianne Rakic
John Guttag
M. Sabuncu
MedIm
58
116
0
07 Aug 2019
Learning Data Augmentation Strategies for Object Detection
Learning Data Augmentation Strategies for Object Detection
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Nayeon Lee
Jonathon Shlens
Quoc V. Le
108
535
0
26 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
660
4,833
0
13 May 2019
Fast AutoAugment
Fast AutoAugment
Sungbin Lim
Ildoo Kim
Taesup Kim
Chiheon Kim
Sungwoong Kim
120
601
0
01 May 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
160
2,334
0
29 Apr 2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang
Kai-xiang Chen
Jianping Shi
H. Feng
Wanli Ouyang
Dahua Lin
ObjD
104
1,297
0
04 Apr 2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for
  Images and Surfaces
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Adrian Dalca
Guha Balakrishnan
John Guttag
M. Sabuncu
MedImDiffM
109
375
0
08 Mar 2019
Data augmentation using learned transformations for one-shot medical
  image segmentation
Data augmentation using learned transformations for one-shot medical image segmentation
Amy Zhao
Guha Balakrishnan
F. Durand
John Guttag
Adrian Dalca
OODMedIm
81
399
0
25 Feb 2019
Semi-Supervised and Task-Driven Data Augmentation
Semi-Supervised and Task-Driven Data Augmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
O. Donati
Anton S. Becker
E. Konukoglu
MedIm
108
144
0
11 Feb 2019
Learning a Probabilistic Model for Diffeomorphic Registration
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs
H. Delingette
B. Mailhé
N. Ayache
Tommaso Mansi
DiffMMedIm
75
197
0
18 Dec 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
122
6,228
0
18 Jul 2018
BAGAN: Data Augmentation with Balancing GAN
BAGAN: Data Augmentation with Balancing GAN
G. Mariani
Florian Scheidegger
R. Istrate
C. Bekas
A. Malossi
93
315
0
26 Mar 2018
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedImGAN
187
1,076
0
12 Nov 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDLDRL
121
737
0
16 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
87
658
0
08 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
1.1K
37,015
0
25 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
214
7,518
0
24 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.6K
195,176
0
10 Dec 2015
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms
  for Learned Data Augmentation
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation
Søren Hauberg
Oren Freifeld
Anders Boesen Lindbo Larsen
John W. Fisher III
Lars Kai Hansen
88
154
0
09 Oct 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
326
7,414
0
05 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
2.1K
77,813
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
313
4,179
0
17 May 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
252
4,911
0
22 Dec 2014
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