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Deep Learning Face Attributes in the Wild

Deep Learning Face Attributes in the Wild

28 November 2014
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
    CVBM
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Papers citing "Deep Learning Face Attributes in the Wild"

50 / 3,979 papers shown
Title
The Secret Revealer: Generative Model-Inversion Attacks Against Deep
  Neural Networks
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang
R. Jia
Hengzhi Pei
Wenxiao Wang
Yue Liu
D. Song
AAML
48
410
0
17 Nov 2019
Effectively Unbiased FID and Inception Score and where to find them
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong
David A. Forsyth
EGVM
16
201
0
16 Nov 2019
A3GAN: An Attribute-aware Attentive Generative Adversarial Network for
  Face Aging
A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
Yunfan Liu
Qi Li
Zhenan Sun
Tieniu Tan
GAN
CVBM
19
30
0
15 Nov 2019
Gated Variational AutoEncoders: Incorporating Weak Supervision to
  Encourage Disentanglement
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CoGe
DRL
17
9
0
15 Nov 2019
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face
  Manipulation Detection
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
João C. Neves
Ruben Tolosana
R. Vera-Rodríguez
Vasco Lopes
Hugo Proencca
Julian Fierrez
AAML
PICV
31
130
0
13 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
21
104
0
13 Nov 2019
What Do Compressed Deep Neural Networks Forget?
What Do Compressed Deep Neural Networks Forget?
Sara Hooker
Aaron Courville
Gregory Clark
Yann N. Dauphin
Andrea Frome
19
182
0
13 Nov 2019
Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Zuheng Ming
J. Xia
M. Luqman
J. Burie
Kai Zhao
CVBM
19
26
0
08 Nov 2019
Towards a General Model of Knowledge for Facial Analysis by Multi-Source
  Transfer Learning
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
Valentin Vielzeuf
Alexis Lechervy
S. Pateux
F. Jurie
CVBM
18
5
0
08 Nov 2019
Quality Aware Generative Adversarial Networks
Quality Aware Generative Adversarial Networks
Parimala Kancharla
Sumohana S. Channappayya
GAN
17
27
0
08 Nov 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGe
DRL
45
179
0
06 Nov 2019
Semantic Image Completion and Enhancement using Deep Learning
Semantic Image Completion and Enhancement using Deep Learning
Vaishnav Chandak
Priyansh Saxena
M. Pattanaik
G. Kaushal
GAN
15
5
0
06 Nov 2019
Hierarchical Mixtures of Generators for Adversarial Learning
Hierarchical Mixtures of Generators for Adversarial Learning
Alper Ahmetoglu
Ethem Alpaydin
GAN
27
5
0
05 Nov 2019
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task
  Learning
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning
Jiancheng Cai
Hu Han
Shiguang Shan
Xilin Chen
GAN
CVBM
17
41
0
04 Nov 2019
Multi-marginal Wasserstein GAN
Multi-marginal Wasserstein GAN
Jingyun Liang
Langyuan Mo
Yifan Zhang
Kui Jia
Chunhua Shen
Mingkui Tan
24
77
0
03 Nov 2019
Unmasking DeepFakes with simple Features
Unmasking DeepFakes with simple Features
Ricard Durall
Margret Keuper
Franz-Josef Pfreundt
J. Keuper
CVBM
18
217
0
02 Nov 2019
Cooperative Semantic Segmentation and Image Restoration in Adverse
  Environmental Conditions
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions
W. Xia
Zhanglin Cheng
Yujiu Yang
Jing-Hao Xue
22
6
0
02 Nov 2019
A Method for Identifying Origin of Digital Images Using a Convolution
  Neural Network
A Method for Identifying Origin of Digital Images Using a Convolution Neural Network
Rong Huang
Fuming Fang
H. Nguyen
Junichi Yamagishi
Isao Echizen
22
5
0
02 Nov 2019
Explanation by Progressive Exaggeration
Explanation by Progressive Exaggeration
Sumedha Singla
Brian Pollack
Junxiang Chen
Kayhan Batmanghelich
FAtt
MedIm
17
103
0
01 Nov 2019
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Michael Kuchnik
George Amvrosiadis
Virginia Smith
24
9
0
01 Nov 2019
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images
Talip Uçar
36
0
0
31 Oct 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions
Energy-Inspired Models: Learning with Sampler-Induced Distributions
Dieterich Lawson
George Tucker
Bo Dai
Rajesh Ranganath
19
31
0
31 Oct 2019
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models
Yang Wu
Pengxu Wei
Liang Lin
22
0
0
31 Oct 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for
  Generative Models
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Maksim Kuznetsov
Daniil Polykovskiy
Dmitry Vetrov
Alexander Zhebrak
GAN
24
18
0
29 Oct 2019
Concept Saliency Maps to Visualize Relevant Features in Deep Generative
  Models
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models
L. Brocki
N. C. Chung
FAtt
28
21
0
29 Oct 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
Adversarial Fisher Vectors for Unsupervised Representation Learning
Shuangfei Zhai
Walter A. Talbott
Carlos Guestrin
J. Susskind
GAN
22
9
0
29 Oct 2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep
  Generative Models
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
P. Gyawali
Rudra Saha
Linwei Wang
V. Veeravasarapu
M. Singh
DiffM
DRL
33
0
0
26 Oct 2019
Fair Generative Modeling via Weak Supervision
Fair Generative Modeling via Weak Supervision
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
41
133
0
26 Oct 2019
Self-supervised Learning of Detailed 3D Face Reconstruction
Self-supervised Learning of Detailed 3D Face Reconstruction
Yajing Chen
Fanzi Wu
Zeyu Wang
Yibing Song
Yonggen Ling
Linchao Bao
3DH
33
62
0
25 Oct 2019
ClsGAN: Selective Attribute Editing Model Based On Classification
  Adversarial Network
ClsGAN: Selective Attribute Editing Model Based On Classification Adversarial Network
Liu Ying
Heng Fan
Fuchuan Ni
Jinhai Xiang
GAN
25
4
0
25 Oct 2019
Multimodal Image Outpainting With Regularized Normalized Diversification
Multimodal Image Outpainting With Regularized Normalized Diversification
Lingzhi Zhang
Jiancong Wang
Jianbo Shi
DiffM
16
15
0
25 Oct 2019
Multi-label Co-regularization for Semi-supervised Facial Action Unit
  Recognition
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Nargiz Humbatova
Gunel Jahangirova
Vincenzo Riccio
Xilin Chen
CVBM
14
77
0
24 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse
  Problems
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems
Oscar Leong
W. Sakla
GAN
14
7
0
23 Oct 2019
GANspection
GANspection
Hammad A. Ayyubi
GAN
8
0
0
21 Oct 2019
Detecting Underspecification with Local Ensembles
Detecting Underspecification with Local Ensembles
David Madras
James Atwood
Alexander DÁmour
41
4
0
21 Oct 2019
Object landmark discovery through unsupervised adaptation
Object landmark discovery through unsupervised adaptation
Enrique Sanchez
Georgios Tzimiropoulos
29
22
0
21 Oct 2019
Component Attention Guided Face Super-Resolution Network: CAGFace
Component Attention Guided Face Super-Resolution Network: CAGFace
Ratheesh Kalarot
Tao Li
Fatih Porikli
CVBM
SupR
23
36
0
19 Oct 2019
Federated Generative Privacy
Federated Generative Privacy
Aleksei Triastcyn
Boi Faltings
FedML
21
63
0
18 Oct 2019
Obfuscation via Information Density Estimation
Obfuscation via Information Density Estimation
Hsiang Hsu
S. Asoodeh
Flavio du Pin Calmon
23
12
0
17 Oct 2019
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale
  Denoising Score Matching
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching
Zengyi Li
Yubei Chen
Friedrich T. Sommer
DiffM
13
26
0
17 Oct 2019
Optimal Transport Based Generative Autoencoders
Optimal Transport Based Generative Autoencoders
Oliver Zhang
Ruei-Sung Lin
Yuchuan Gou
GAN
DRL
27
2
0
16 Oct 2019
Transform the Set: Memory Attentive Generation of Guided and Unguided
  Image Collages
Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages
Nikolay Jetchev
Urs M. Bergmann
Gökhan Yildirim
VLM
9
3
0
16 Oct 2019
Neural Approximation of an Auto-Regressive Process through Confidence
  Guided Sampling
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
Y. Yoo
Sanghyuk Chun
Sangdoo Yun
Jung-Woo Ha
Jaejun Yoo
20
0
0
15 Oct 2019
More Powerful Selective Kernel Tests for Feature Selection
More Powerful Selective Kernel Tests for Feature Selection
Jen Ning Lim
M. Yamada
Wittawat Jitkrittum
Y. Terada
S. Matsui
Hidetoshi Shimodaira
53
9
0
14 Oct 2019
Image Generation and Recognition (Emotions)
Image Generation and Recognition (Emotions)
Hanne Carlsson
D. Kollias
GAN
36
0
0
13 Oct 2019
Complement Face Forensic Detection and Localization with FacialLandmarks
Complement Face Forensic Detection and Localization with FacialLandmarks
Kritaphat Songsri-in
Stefanos Zafeiriou
CVBM
30
31
0
12 Oct 2019
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray
  Data Augmentation
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
Y. Xing
Z. Ge
Rui Zeng
Dwarikanath Mahapatra
J. Seah
M. Law
Tom Drummond
GAN
LM&MA
MedIm
8
30
0
11 Oct 2019
Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding
  in Euclidean Latent Space
Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space
Keizo Kato
Jing Zhou
Tomotake Sasaki
Akira Nakagawa
DRL
19
0
0
10 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
32
61
0
09 Oct 2019
Who's responsible? Jointly quantifying the contribution of the learning
  algorithm and training data
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data
G. Yona
Amirata Ghorbani
James Zou
TDI
23
12
0
09 Oct 2019
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