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Learning from Simulated and Unsupervised Images through Adversarial
  Training

Learning from Simulated and Unsupervised Images through Adversarial Training

22 December 2016
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
    GAN
ArXivPDFHTML

Papers citing "Learning from Simulated and Unsupervised Images through Adversarial Training"

50 / 314 papers shown
Title
Universal Adversarial Attack on Attention and the Resulting Dataset
  DAmageNet
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie-jin Yang
Xiaolin Huang
AAML
31
104
0
16 Jan 2020
The Synthinel-1 dataset: a collection of high resolution synthetic
  overhead imagery for building segmentation
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
Fanjie Kong
Bohao Huang
Kyle Bradbury
Jordan M. Malof
28
38
0
15 Jan 2020
Neural Human Video Rendering by Learning Dynamic Textures and
  Rendering-to-Video Translation
Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation
Lingjie Liu
Weipeng Xu
Marc Habermann
Michael Zollhoefer
Florian Bernard
Hyeongwoo Kim
Wenping Wang
Christian Theobalt
3DH
19
20
0
14 Jan 2020
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on
  Cycle Consistency and Feature Alignment
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
Marco Toldo
Umberto Michieli
Gianluca Agresti
Pietro Zanuttigh
24
50
0
14 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
24
57
0
10 Jan 2020
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen
Yen-Yu Lin
Ming-Hsuan Yang
Jia-Bin Huang
39
276
0
09 Jan 2020
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Unsupervised Representation Learning for Gaze Estimation
Unsupervised Representation Learning for Gaze Estimation
Yu Yu
J. Odobez
3DH
CVBM
31
92
0
16 Nov 2019
Experienced Deep Reinforcement Learning with Generative Adversarial
  Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
Ali Taleb
Ieee Walid Saad Fellow
Ieee Mohammad Mozaffari Member
Ieee H. Vincent Poor Fellow
11
91
0
01 Nov 2019
Cross-Domain Face Synthesis using a Controllable GAN
Cross-Domain Face Synthesis using a Controllable GAN
F. Mokhayeri
K. Kamali
Eric Granger
CVBM
33
17
0
31 Oct 2019
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Á. Martínez-González
M. Villamizar
Olivier Canévet
J. Odobez
3DH
27
27
0
30 Oct 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation
On the Benefit of Adversarial Training for Monocular Depth Estimation
R. Groenendijk
Sezer Karaoglu
Theo Gevers
Thomas Mensink
GAN
MDE
12
29
0
29 Oct 2019
Few-shot Video-to-Video Synthesis
Few-shot Video-to-Video Synthesis
Ting-Chun Wang
Ming Liu
Andrew Tao
Guilin Liu
Jan Kautz
Bryan Catanzaro
DiffM
VGen
53
367
0
28 Oct 2019
Generative Modeling for Small-Data Object Detection
Generative Modeling for Small-Data Object Detection
Lanlan Liu
Michael Muelly
Jia Deng
Tomas Pfister
Li-Jia Li
ObjD
MedIm
30
63
0
16 Oct 2019
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Martin Hahner
Dengxin Dai
Daniel Gehrig
Jan-Nico Zaech
Luc Van Gool
32
61
0
09 Oct 2019
On the estimation of the Wasserstein distance in generative models
On the estimation of the Wasserstein distance in generative models
Thomas Pinetz
Daniel Soukup
Thomas Pock
GAN
19
9
0
02 Oct 2019
Unsupervised Image Translation using Adversarial Networks for Improved
  Plant Disease Recognition
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
H. Nazki
Sook Yoon
A. Fuentes
D. Park
GAN
MedIm
27
152
0
26 Sep 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Dual Encoder-Decoder based Generative Adversarial Networks for
  Disentangled Facial Representation Learning
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning
Cong Hu
Zhenhua Feng
Xiaojun Wu
J. Kittler
CVBM
GAN
DRL
24
11
0
19 Sep 2019
Extremely Weak Supervised Image-to-Image Translation for Semantic
  Segmentation
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation
Samarth Shukla
Luc Van Gool
Radu Timofte
VLM
24
9
0
18 Sep 2019
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation
  in Semantic Segmentation
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
Umberto Michieli
Matteo Biasetton
Gianluca Agresti
Pietro Zanuttigh
GAN
13
58
0
02 Sep 2019
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User
  Understanding
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding
Zhengyang Wu
Srivignesh Rajendran
Tarrence van As
Joelle Zimmermann
Vijay Badrinarayanan
Andrew Rabinovich
19
12
0
24 Aug 2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video
  Translation
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
Kwanyong Park
Sanghyun Woo
Dahun Kim
Donghyeon Cho
In So Kweon
VGen
33
38
0
21 Aug 2019
Conditional Generative Adversarial Networks for Data Augmentation and
  Adaptation in Remotely Sensed Imagery
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
J. Howe
Kyle Pula
Aaron A. Reite
GAN
39
13
0
10 Aug 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Huikai Wu
Junge Zhang
Kaiqi Huang
3DPC
22
47
0
06 Aug 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Efficient Multi-Domain Network Learning by Covariance Normalization
Yunsheng Li
Nuno Vasconcelos
OOD
22
32
0
24 Jun 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D
  Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Changhee Han
Yoshiro Kitamura
Akira Kudo
Akimichi Ichinose
L. Rundo
Yujiro Furukawa
Kazuki Umemoto
Yuanzhong Li
Hideki Nakayama
MedIm
24
116
0
12 Jun 2019
The Secrets of Machine Learning: Ten Things You Wish You Had Known
  Earlier to be More Effective at Data Analysis
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis
Cynthia Rudin
David Carlson
HAI
30
34
0
04 Jun 2019
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
Miao Wang
Guo-Ye Yang
Ruilong Li
Runze Liang
Song-Hai Zhang
P. Hall
Shimin Hu
GAN
21
86
0
04 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning
Partial Scanning Transmission Electron Microscopy with Deep Learning
Jeffrey M. Ede
R. Beanland
MedIm
21
22
0
31 May 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image
  Augmentation for Tumor Detection
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Changhee Han
L. Rundo
Ryosuke Araki
Yudai Nagano
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
21
157
0
31 May 2019
Characterizing Bias in Classifiers using Generative Models
Characterizing Bias in Classifiers using Generative Models
Daniel J. McDuff
Shuang Ma
Yale Song
Ashish Kapoor
31
47
0
30 May 2019
Using Photorealistic Face Synthesis and Domain Adaptation to Improve
  Facial Expression Analysis
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis
Behzad Bozorgtabar
Mohammad Saeed Rad
H. K. Ekenel
Jean-Philippe Thiran
CVBM
28
19
0
17 May 2019
Non-Parametric Priors For Generative Adversarial Networks
Non-Parametric Priors For Generative Adversarial Networks
Rajhans Singh
Pavan Turaga
Suren Jayasuriya
Ravi Garg
M. Braun
GAN
21
13
0
16 May 2019
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit
  classification
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification
Vinay Uday Prabhu
Sanghyun Han
Dian Ang Yap
Mihail Douhaniaris
P. Seshadri
John Whaley
25
7
0
16 May 2019
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative
  Adversarial Networks
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Xingde Ying
Heng Guo
Kai Ma
Jian Wu
Z. Weng
Yefeng Zheng
GAN
MedIm
30
189
0
16 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng
Yang Wu
Zhibin Yu
Yang Yang
Haiyong Zheng
T. Kanade
GAN
21
0
0
16 May 2019
Offset Calibration for Appearance-Based Gaze Estimation via Gaze
  Decomposition
Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition
Zhaokang Chen
Bertram E. Shi
26
27
0
11 May 2019
Few-Shot Adaptive Gaze Estimation
Few-Shot Adaptive Gaze Estimation
Seonwook Park
Shalini De Mello
Pavlo Molchanov
Umar Iqbal
Otmar Hilliges
Jan Kautz
33
193
0
06 May 2019
OpenEDS: Open Eye Dataset
OpenEDS: Open Eye Dataset
Stephan J. Garbin
Yiru Shen
Immo Schuetz
Robert Cavin
Gregory Hughes
S. Talathi
MDE
16
70
0
30 Apr 2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI
  Sequences Synthesis
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Hongwei Bran Li
Johannes C. Paetzold
Anjany Sekuboyina
Florian Kofler
Jianguo Zhang
Jan S. Kirschke
Benedikt Wiestler
Bjoern H. Menze
GAN
MedIm
21
88
0
29 Apr 2019
A Survey on Face Data Augmentation
A Survey on Face Data Augmentation
Xiang Wang
Kai Wang
Shiguo Lian
CVBM
20
130
0
26 Apr 2019
Learning the Depths of Moving People by Watching Frozen People
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li
Tali Dekel
Forrester Cole
Richard Tucker
Noah Snavely
Ce Liu
William T. Freeman
MDE
3DH
34
242
0
25 Apr 2019
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection
  Synthesis
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis
Yu Yu
Gang Liu
J. Odobez
35
104
0
24 Apr 2019
A Differential Approach for Gaze Estimation
A Differential Approach for Gaze Estimation
Gang Liu
Yu Yu
Kenneth Alberto Funes Mora
J. Odobez
28
108
0
20 Apr 2019
Synthetic Examples Improve Generalization for Rare Classes
Synthetic Examples Improve Generalization for Rare Classes
Sara Beery
Yang Liu
Dan Morris
Jim Piavis
Ashish Kapoor
M. Meister
Neel Joshi
Pietro Perona
20
95
0
11 Apr 2019
Learning Across Tasks and Domains
Learning Across Tasks and Domains
Pierluigi Zama Ramirez
A. Tonioni
Samuele Salti
Luigi Di Stefano
24
32
0
09 Apr 2019
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style
  Transfer
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer
Xinyuan Chen
Chang Xu
Xiaokang Yang
Li-Na Song
Dacheng Tao
GAN
24
112
0
04 Apr 2019
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor
  Detection
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
Changhee Han
L. Rundo
Ryosuke Araki
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
22
91
0
29 Mar 2019
Learning More with Less: GAN-based Medical Image Augmentation
Learning More with Less: GAN-based Medical Image Augmentation
Changhee Han
K. Murao
Shiníchi Satoh
Hideki Nakayama
MedIm
GAN
21
28
0
29 Mar 2019
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