v1v2v3 (latest)

MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations

20 December 2023

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 Tonmoy Hossain Miaomiao Zhang 104 0 0 21 Mar 2025
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 Nivetha Jayakumar Tonmoy Hossain Miaomiao Zhang DiffM 81 6 0 06 Sep 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 116 258 0 07 Feb 2023
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 79 0 09 Dec 2022
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 Chen Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 125 42 0 07 Aug 2021
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 Jian Wang Miaomiao Zhang 99 10 0 12 Jul 2021
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 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 Yunhe Gao Zhiqiang Tang Mu Zhou Dimitris N. Metaxas MedIm 49 18 0 30 Mar 2021
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 Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 200 1,636 0 18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 104 293 0 18 Mar 2021
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 ViT MedIm 181 3,545 0 08 Feb 2021
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 772 41,877 0 22 Oct 2020
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 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 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 Xinzhe Luo Xiahai Zhuang 76 17 0 28 Jun 2020
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 Amir Hertz Rana Hanocka Raja Giryes Daniel Cohen-Or 3DPC 145 65 0 30 Mar 2020
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 Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 204 1,313 0 05 Dec 2019
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 Youshan Zhang Jiarui Xing Miaomiao Zhang 49 5 0 03 Sep 2019
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 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 Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 660 4,833 0 13 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 120 601 0 01 May 2019
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 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 Adrian Dalca Guha Balakrishnan John Guttag M. Sabuncu MedIm DiffM 109 375 0 08 Mar 2019
Data augmentation using learned transformations for one-shot medical image segmentation Amy Zhao Guha Balakrishnan F. Durand John Guttag Adrian Dalca OOD MedIm 81 399 0 25 Feb 2019
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 Julian Krebs H. Delingette B. Mailhé N. Ayache Tommaso Mansi DiffM MedIm 75 197 0 18 Dec 2018
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 G. Mariani Florian Scheidegger R. Istrate C. Bekas A. Malossi 93 315 0 26 Mar 2018
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 187 1,076 0 12 Nov 2017
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 121 737 0 16 Nov 2016
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 Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.1K 37,015 0 25 Aug 2016
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 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 Søren Hauberg Oren Freifeld Anders Boesen Lindbo Larsen John W. Fisher III Lars Kai Hansen 88 154 0 09 Oct 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 328 7,414 0 05 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 2.1K 77,813 0 18 May 2015
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh Seunghoon Hong Bohyung Han SSeg 313 4,180 0 17 May 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 255 4,911 0 22 Dec 2014