ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1411.1784
  4. Cited By
Conditional Generative Adversarial Nets

Conditional Generative Adversarial Nets

6 November 2014
M. Berk Mirza
Simon Osindero
    GANSyDaAI4CE
ArXiv (abs)PDFHTML

Papers citing "Conditional Generative Adversarial Nets"

50 / 3,470 papers shown
Title
MammoGANesis: Controlled Generation of High-Resolution Mammograms for
  Radiology Education
MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology Education
C. Zakka
Ghida Saheb
Elie Najem
G. Berjawi
GANMedIm
58
8
0
11 Oct 2020
Cross-Spectral Iris Matching Using Conditional Coupled GAN
Cross-Spectral Iris Matching Using Conditional Coupled GAN
Moktari Mostofa
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
GANCVBM
15
6
0
09 Oct 2020
Incorporating planning intelligence into deep learning: A planning
  support tool for street network design
Incorporating planning intelligence into deep learning: A planning support tool for street network design
Zhou Fang
Ying Jin
Tianren Yang
35
27
0
09 Oct 2020
Deep-Masking Generative Network: A Unified Framework for Background
  Restoration from Superimposed Images
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
Xin Feng
Wenjie Pei
Zihui Jia
Fanglin Chen
Dafan Zhang
Guangming Lu
DiffM
65
34
0
09 Oct 2020
Predicting Mechanical Properties from Microstructure Images in
  Fiber-reinforced Polymers using Convolutional Neural Networks
Predicting Mechanical Properties from Microstructure Images in Fiber-reinforced Polymers using Convolutional Neural Networks
Yixuan Sun
I. Hanhan
M. Sangid
Guang Lin
AI4CE
82
15
0
07 Oct 2020
On the Evaluation of Generative Adversarial Networks By Discriminative
  Models
On the Evaluation of Generative Adversarial Networks By Discriminative Models
A. Torfi
Mohammadreza Beyki
Edward A. Fox
EGVM
114
7
0
07 Oct 2020
Discriminative Cross-Modal Data Augmentation for Medical Imaging
  Applications
Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
Yue Yang
P. Xie
MedIm
52
0
0
07 Oct 2020
Using Conditional Generative Adversarial Networks to Reduce the Effects
  of Latency in Robotic Telesurgery
Using Conditional Generative Adversarial Networks to Reduce the Effects of Latency in Robotic Telesurgery
Neil Sachdeva
Misha Klopukh
Rachel St. Clair
W. Hahn
GANMedIm
49
18
0
07 Oct 2020
Conditional Generative Modeling via Learning the Latent Space
Conditional Generative Modeling via Learning the Latent Space
Sameera Ramasinghe
Kanchana Ranasinghe
Salman Khan
Nick Barnes
Stephen Gould
BDL
73
9
0
07 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially
  Regularized Autoencoder
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
Alvin Chan
Yi Tay
Yew-Soon Ong
Aston Zhang
SILM
78
58
0
06 Oct 2020
Smoother Network Tuning and Interpolation for Continuous-level Image
  Processing
Smoother Network Tuning and Interpolation for Continuous-level Image Processing
Hyeongmin Lee
Taeoh Kim
Hanbin Son
Sang Y. Baek
Minsu Cheon
Sangyoun Lee
48
7
0
05 Oct 2020
Conditional Generative Adversarial Networks to Model Urban Outdoor Air
  Pollution
Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution
J. Toutouh
AI4CE
68
8
0
05 Oct 2020
Estimating conditional density of missing values using deep Gaussian
  mixture model
Estimating conditional density of missing values using deep Gaussian mixture model
Marcin Przewiȩźlikowski
Marek Śmieja
Lukasz Struski
BDL
32
7
0
05 Oct 2020
Sample weighting as an explanation for mode collapse in generative
  adversarial networks
Sample weighting as an explanation for mode collapse in generative adversarial networks
Aksel Wilhelm Wold Eide
Eilif Solberg
I. Kåsen
GAN
21
3
0
05 Oct 2020
A Generative Machine Learning Approach to Policy Optimization in
  Pursuit-Evasion Games
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games
Shiva Navabi
Osonde A. Osoba
40
2
0
04 Oct 2020
Integrating Categorical Semantics into Unsupervised Domain Translation
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie-Marchildon
Faruk Ahmed
Aaron Courville
78
6
0
03 Oct 2020
Understanding the Role of Adversarial Regularization in Supervised
  Learning
Understanding the Role of Adversarial Regularization in Supervised Learning
Litu Rout
46
3
0
01 Oct 2020
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A
  Pseudo-Reaction-Diffusion Model for Turing Instability
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability
Litu Rout
AAML
39
1
0
01 Oct 2020
EEG to fMRI Synthesis: Is Deep Learning a candidate?
EEG to fMRI Synthesis: Is Deep Learning a candidate?
David Calhas
Rui Henriques
MedIm
47
9
0
29 Sep 2020
TinyGAN: Distilling BigGAN for Conditional Image Generation
TinyGAN: Distilling BigGAN for Conditional Image Generation
Ting-Yun Chang
Chi-Jen Lu
GAN
60
27
0
29 Sep 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal
  Processing
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
Ping Lang
Xiongjun Fu
M. Martorella
Jian Dong
Rui Qin
Xianpeng Meng
M. Xie
43
43
0
29 Sep 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
115
579
0
28 Sep 2020
Cloud Removal for Remote Sensing Imagery via Spatial Attention
  Generative Adversarial Network
Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network
Heng Pan
GAN
49
99
0
28 Sep 2020
Recognition and Synthesis of Object Transport Motion
Recognition and Synthesis of Object Transport Motion
Connor Daly
GAN
16
0
0
27 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and
  Application
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
176
278
0
27 Sep 2020
Decision-Aware Conditional GANs for Time Series Data
Decision-Aware Conditional GANs for Time Series Data
He Sun
Zhun Deng
Hui Chen
David C. Parkes
CMLAI4TS
141
17
0
26 Sep 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
150
806
0
24 Sep 2020
Generative Modelling of 3D in-silico Spongiosa with Controllable
  Micro-Structural Parameters
Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters
Emmanuel Iarussi
F. Thomsen
C. Delrieux
MedIm
20
2
0
23 Sep 2020
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and
  Data Anonymization
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
K. Nikolaidis
Stein Kristiansen
T. Plagemann
V. Goebel
Knut Liestøl
...
G. Traaen
Britt Overland
Harriet Akre
L. Aakerøy
S. Steinshamn
27
4
0
21 Sep 2020
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image
  Fusion
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
Yicheng Wang
Shuang Xu
Junmin Liu
Zixiang Zhao
Chunxia Zhang
Jiangshe Zhang
41
47
0
21 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled
  Representations
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Jiawei Wu
Xiaoya Li
Xiang Ao
Yuxian Meng
Leilei Gan
Jiwei Li
OODDRL
38
11
0
21 Sep 2020
Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on
  3D Pelvic CT Images
Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images
Zhuangzhuang Zhang
T. Zhao
Hiram Gay
B. Sun
Weixiong Zhang
MedIm
69
10
0
21 Sep 2020
Synthetic Convolutional Features for Improved Semantic Segmentation
Synthetic Convolutional Features for Improved Semantic Segmentation
Yang He
Bernt Schiele
Mario Fritz
SSeg
66
2
0
18 Sep 2020
Conditional Image Generation with One-Vs-All Classifier
Conditional Image Generation with One-Vs-All Classifier
Xiangrui Xu
Yaqin Li
Cao Yuan
VLMGAN
50
12
0
18 Sep 2020
ExGAN: Adversarial Generation of Extreme Samples
ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia
Arjit Jain
Bryan Hooi
80
44
0
17 Sep 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal
  Perspective Using Counterfactuals
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash
V. Balasubramanian
Amit Sharma
CML
79
70
0
17 Sep 2020
Novel and flexible parameter estimation methods for data-consistent
  inversion in mechanistic modeling
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling
Timothy Rumbell
Jaimit Parikh
J. Kozloski
V. Gurev
66
6
0
17 Sep 2020
Single Frame Deblurring with Laplacian Filters
Single Frame Deblurring with Laplacian Filters
Baran Ataman
E. Guldogan
29
0
0
17 Sep 2020
Multiple Exemplars-based Hallucinationfor Face Super-resolution and
  Editing
Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing
Kaili Wang
José Oramas
Tinne Tuytelaars
SupRDiffMCVBM
57
7
0
16 Sep 2020
TreeGAN: Incorporating Class Hierarchy into Image Generation
TreeGAN: Incorporating Class Hierarchy into Image Generation
Ruisi Zhang
Luntian Mou
P. Xie
GAN
64
1
0
16 Sep 2020
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season
  Sentinel-2 Imagery
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
Patrick Ebel
A. Meraner
M. Schmitt
Xiaoxiang Zhu
67
116
0
16 Sep 2020
Exploring Font-independent Features for Scene Text Recognition
Exploring Font-independent Features for Scene Text Recognition
Yizhi Wang
Zheng Lian
72
17
0
16 Sep 2020
Zero-shot Synthesis with Group-Supervised Learning
Zero-shot Synthesis with Group-Supervised Learning
Yunhao Ge
Sami Abu-El-Haija
Gan Xin
Laurent Itti
69
37
0
14 Sep 2020
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision
  Farming
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming
Mulham Fawakherji
Ciro Potena
Alberto Pretto
D. Bloisi
Daniele Nardi
63
76
0
12 Sep 2020
MACE: A Flexible Framework for Membership Privacy Estimation in
  Generative Models
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu
Soumendu Sundar Mukherjee
Xiyang Liu
Shruti Tople
Rahul Dodhia
J. L. Ferres
MIACV
122
11
0
11 Sep 2020
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain
  Adaptation
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Jinghua Wang
Jianmin Jiang
GAN
61
36
0
11 Sep 2020
CounteRGAN: Generating Realistic Counterfactuals with Residual
  Generative Adversarial Nets
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets
Daniel Nemirovsky
Nicolas Thiebaut
Ye Xu
Abhishek Gupta
CMLGAN
78
35
0
11 Sep 2020
STEP-GAN: A Step-by-Step Training for Multi Generator GANs with
  application to Cyber Security in Power Systems
STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems
Mohammad Adiban
Arash Safari
G. Salvi
AAML
22
5
0
11 Sep 2020
Quantifying the Preferential Direction of the Model Gradient in
  Adversarial Training With Projected Gradient Descent
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
66
12
0
10 Sep 2020
Enhancing and Learning Denoiser without Clean Reference
Enhancing and Learning Denoiser without Clean Reference
Rui Zhao
D. Lun
K. Lam
DiffM
49
6
0
09 Sep 2020
Previous
123...394041...686970
Next