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Robust Attentive Deep Neural Network for Exposing GAN-generated Faces

Robust Attentive Deep Neural Network for Exposing GAN-generated Faces

5 September 2021
Hui Guo
Shu Hu
Xin Wang
Ming-Ching Chang
Siwei Lyu
    CVBM
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Papers citing "Robust Attentive Deep Neural Network for Exposing GAN-generated Faces"

48 / 48 papers shown
Title
Robust Fairness Vision-Language Learning for Medical Image Analysis
Robust Fairness Vision-Language Learning for Medical Image Analysis
Sparsh Bansal
Mingyang Wu
Xin Wang
S. Hu
VLM
72
0
0
06 May 2025
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Eric Wang
Shu Hu
Shu Hu
EGVM
108
12
0
02 Jun 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
134
30,021
0
01 Mar 2022
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces
Hui Guo
Shu Hu
Xin Wang
Ming-Ching Chang
Siwei Lyu
GAN
CVBM
38
72
0
01 Sep 2021
Alias-Free Generative Adversarial Networks
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
148
1,582
0
23 Jun 2021
Sum of Ranked Range Loss for Supervised Learning
Sum of Ranked Range Loss for Supervised Learning
Shu Hu
Yiming Ying
Xin Wang
Siwei Lyu
53
23
0
07 Jun 2021
Learning by Minimizing the Sum of Ranked Range
Learning by Minimizing the Sum of Ranked Range
Shu Hu
Yiming Ying
Xin Wang
Siwei Lyu
27
28
0
05 Oct 2020
Exposing GAN-generated Faces Using Inconsistent Corneal Specular
  Highlights
Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights
Shu Hu
Yuezun Li
Siwei Lyu
CVBM
GAN
37
96
0
24 Sep 2020
Detection, Attribution and Localization of GAN Generated Images
Detection, Attribution and Localization of GAN Generated Images
Michael Goebel
L. Nataraj
Tejaswi Nanjundaswamy
Tajuddin Manhar Mohammed
S. Chandrasekaran
B. S. Manjunath
GAN
50
37
0
20 Jul 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
105
403
0
13 Jun 2020
Detecting CNN-Generated Facial Images in Real-World Scenarios
Detecting CNN-Generated Facial Images in Real-World Scenarios
Nils Hulzebosch
Sarah Ibrahimi
Marcel Worring
CVBM
121
79
0
12 May 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank
Thorsten Eisenhofer
Lea Schonherr
Asja Fischer
D. Kolossa
Thorsten Holz
31
546
0
19 Mar 2020
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are
  Failing to Reproduce Spectral Distributions
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Ricard Durall
Margret Keuper
J. Keuper
45
333
0
03 Mar 2020
Global Texture Enhancement for Fake Face Detection in the Wild
Global Texture Enhancement for Fake Face Detection in the Wild
Zhengzhe Liu
Xiaojuan Qi
Philip Torr
CVBM
37
285
0
01 Feb 2020
CNN-generated images are surprisingly easy to spot... for now
CNN-generated images are surprisingly easy to spot... for now
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
OOD
114
965
0
23 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
218
42,038
0
03 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
252
5,769
0
03 Dec 2019
Incremental learning for the detection and classification of
  GAN-generated images
Incremental learning for the detection and classification of GAN-generated images
Francesco Marra
Cristiano Saltori
G. Boato
Luisa Verdoliva
82
131
0
03 Oct 2019
Detecting and Simulating Artifacts in GAN Fake Images
Detecting and Simulating Artifacts in GAN Fake Images
Xu-Yao Zhang
Svebor Karaman
Shih-Fu Chang
82
481
0
15 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
76
1,583
0
18 Jun 2019
Exposing GAN-synthesized Faces Using Landmark Locations
Exposing GAN-synthesized Faces Using Landmark Locations
Xin Yang
Yuezun Li
H. Qi
Siwei Lyu
GAN
CVBM
57
108
0
30 Mar 2019
Dynamic Curriculum Learning for Imbalanced Data Classification
Dynamic Curriculum Learning for Imbalanced Data Classification
Yiru Wang
Weihao Gan
Jie Yang
Wei Wu
Junjie Yan
48
219
0
21 Jan 2019
Do GANs leave artificial fingerprints?
Do GANs leave artificial fingerprints?
Francesco Marra
Diego Gragnaniello
L. Verdoliva
Giovanni Poggi
GAN
44
321
0
31 Dec 2018
Detecting GAN-generated Imagery using Color Cues
Detecting GAN-generated Imagery using Color Cues
Scott McCloskey
Michael Albright
GAN
34
156
0
19 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
502
10,466
0
12 Dec 2018
RA-UNet: A hybrid deep attention-aware network to extract liver and
  tumor in CT scans
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin
Zhao-Peng Meng
Changming Sun
Leyi Wei
R. Su
MedIm
79
357
0
04 Nov 2018
Exposing Deep Fakes Using Inconsistent Head Poses
Exposing Deep Fakes Using Inconsistent Head Poses
Xin Yang
Yuezun Li
Siwei Lyu
CVBM
56
878
0
01 Nov 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
169
16,337
0
17 Jul 2018
Image Super-Resolution Using Very Deep Residual Channel Attention
  Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Y. Fu
SupR
96
4,295
0
08 Jul 2018
A Univariate Bound of Area Under ROC
A Univariate Bound of Area Under ROC
Siwei Lyu
Yiming Ying
29
11
0
16 Apr 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
78
2,274
0
30 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
100
7,318
0
27 Oct 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
319
26,241
0
05 Sep 2017
Data Augmentation for Low-Resource Neural Machine Translation
Data Augmentation for Low-Resource Neural Machine Translation
Marzieh Fadaee
Arianna Bisazza
Christof Monz
73
465
0
01 May 2017
Residual Attention Network for Image Classification
Residual Attention Network for Image Classification
Fei Wang
Mengqing Jiang
Chao Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
94
3,299
0
23 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
298
27,018
0
20 Mar 2017
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks
  for Image Captioning
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
Long Chen
Hanwang Zhang
Jun Xiao
Liqiang Nie
Jian Shao
Wei Liu
Tat-Seng Chua
52
1,654
0
17 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
205
19,796
0
07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
791
14,454
0
07 Oct 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
155
9,266
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
93
1,316
0
10 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
257
7,361
0
05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
396
61,900
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.1K
76,547
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
736
149,474
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
289
43,511
0
17 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
376
27,205
0
01 Sep 2014
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