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Understanding Deep Image Representations by Inverting Them

Understanding Deep Image Representations by Inverting Them

26 November 2014
Aravindh Mahendran
Andrea Vedaldi
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Understanding Deep Image Representations by Inverting Them"

50 / 858 papers shown
Title
Knowledge Consistency between Neural Networks and Beyond
Knowledge Consistency between Neural Networks and Beyond
Ruofan Liang
Tianlin Li
Longfei Li
Jingchao Wang
Quanshi Zhang
86
28
0
05 Aug 2019
Invertible Network for Classification and Biomarker Selection for ASD
Invertible Network for Classification and Biomarker Selection for ASD
Juntang Zhuang
Nicha Dvornek
Xiaoxiao Li
P. Ventola
James S. Duncan
58
21
0
23 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical
  XAI
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
202
1,466
0
17 Jul 2019
ELF: Embedded Localisation of Features in pre-trained CNN
ELF: Embedded Localisation of Features in pre-trained CNN
Assia Benbihi
Matthieu Geist
C´edric Pradalier
68
30
0
07 Jul 2019
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior
Thomas Gittings
Steve A. Schneider
John Collomosse
AAML
61
10
0
03 Jul 2019
Multiple-Identity Image Attacks Against Face-based Identity Verification
Multiple-Identity Image Attacks Against Face-based Identity Verification
Jerone T. A. Andrews
T. Tanay
Lewis D. Griffin
CVBMAAML
47
9
0
20 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional
  Image Editing
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
76
172
0
19 Jun 2019
Deep Learning Development Environment in Virtual Reality
Deep Learning Development Environment in Virtual Reality
K. VanHorn
Meyer Zinn
M. Çobanoğlu
41
11
0
13 Jun 2019
Mimic and Fool: A Task Agnostic Adversarial Attack
Mimic and Fool: A Task Agnostic Adversarial Attack
Akshay Chaturvedi
Utpal Garain
AAML
57
27
0
11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information
  Discarding
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
Haotian Ma
Hao Zhang
Fan Zhou
Yinqing Zhang
Quanshi Zhang
FAtt
34
0
0
10 Jun 2019
Adversarial Robustness as a Prior for Learned Representations
Adversarial Robustness as a Prior for Learned Representations
Logan Engstrom
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Brandon Tran
Aleksander Madry
OODAAML
104
63
0
03 Jun 2019
Explainability Techniques for Graph Convolutional Networks
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre
Hossein Azizpour
GNNFAtt
178
272
0
31 May 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in
  Pathological Image Classification
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
Bingzhe Wu
Shiwan Zhao
Guangyu Sun
Xiaolu Zhang
Zhong Su
C. Zeng
Zhihong Liu
78
41
0
30 May 2019
Provably scale-covariant continuous hierarchical networks based on
  scale-normalized differential expressions coupled in cascade
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
T. Lindeberg
89
19
0
29 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
148
122
0
27 May 2019
Not All Features Are Equal: Feature Leveling Deep Neural Networks for
  Better Interpretation
Not All Features Are Equal: Feature Leveling Deep Neural Networks for Better Interpretation
Yingjing Lu
Runde Yang
MILM
50
2
0
24 May 2019
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template
  Updating
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating
Giulio Lovisotto
Simon Eberz
Ivan Martinovic
AAML
95
36
0
22 May 2019
Geometry of Deep Convolutional Networks
Geometry of Deep Convolutional Networks
S. Carlsson
MDE3DPC
38
6
0
21 May 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual
  Explanations
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations
R. Mothilal
Amit Sharma
Chenhao Tan
CML
152
1,034
0
19 May 2019
TSXplain: Demystification of DNN Decisions for Time-Series using Natural
  Language and Statistical Features
TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features
Mohsin Munir
Shoaib Ahmed Siddiqui
Ferdinand Küsters
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
57
19
0
15 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and
  Challenges
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Rob Ashmore
R. Calinescu
Colin Paterson
AI4TS
73
119
0
10 May 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
149
1,847
0
06 May 2019
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and
  Translation
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation
Stylianos Moschoglou
Stylianos Ploumpis
M. Nicolaou
A. Papaioannou
Stefanos Zafeiriou
CVBM3DH
77
51
0
01 May 2019
A scalable saliency-based Feature selection method with instance level
  information
A scalable saliency-based Feature selection method with instance level information
Brais Cancela
V. Bolón-Canedo
Amparo Alonso-Betanzos
João Gama
FAtt
62
13
0
30 Apr 2019
Making Convolutional Networks Shift-Invariant Again
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
133
801
0
25 Apr 2019
Layer Dynamics of Linearised Neural Nets
Layer Dynamics of Linearised Neural Nets
Saurav Basu
Koyel Mukherjee
Shrihari Vasudevan
AI4CE
28
1
0
24 Apr 2019
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and
  Sparse Learning
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning
Peng Xu
Zhaohong Deng
Chen Cui
Te Zhang
K. Choi
Suhang Gu
Jun Wang
Shitong Wang
54
32
0
24 Apr 2019
A Personalized Affective Memory Neural Model for Improving Emotion
  Recognition
A Personalized Affective Memory Neural Model for Improving Emotion Recognition
Pablo V. A. Barros
G. I. Parisi
S. Wermter
71
15
0
23 Apr 2019
Everyone is a Cartoonist: Selfie Cartoonization with Attentive
  Adversarial Networks
Everyone is a Cartoonist: Selfie Cartoonization with Attentive Adversarial Networks
Xinyu Li
Wei Zhang
T. Shen
Tao Mei
CVBMGAN
54
11
0
20 Apr 2019
Polarimetric Thermal to Visible Face Verification via Self-Attention
  Guided Synthesis
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis
Xing Di
B. Riggan
Shuowen Hu
Nathan J. Short
Vishal M. Patel
CVBM
95
43
0
15 Apr 2019
Learning Deformable Kernels for Image and Video Denoising
Learning Deformable Kernels for Image and Video Denoising
Xiangyu Xu
Muchen Li
Wenxiu Sun
67
46
0
15 Apr 2019
Towards Analyzing Semantic Robustness of Deep Neural Networks
Towards Analyzing Semantic Robustness of Deep Neural Networks
Abdullah Hamdi
Guohao Li
AAML
72
17
0
09 Apr 2019
$\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class
  Separability of Features
G\mathcal{G}G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
Yan Luo
Yongkang Wong
Mohan Kankanhalli
Qi Zhao
87
37
0
08 Apr 2019
Revealing Scenes by Inverting Structure from Motion Reconstructions
Revealing Scenes by Inverting Structure from Motion Reconstructions
Francesco Pittaluga
S. Koppal
S. B. Kang
Sudipta N. Sinha
3DPC
75
127
0
05 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 Song
Dacheng Tao
GAN
84
115
0
04 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Christian Rupprecht
Cyril Ibrahim
C. Pal
96
32
0
02 Apr 2019
Data-Free Learning of Student Networks
Data-Free Learning of Student Networks
Hanting Chen
Yunhe Wang
Chang Xu
Zhaohui Yang
Chuanjian Liu
Boxin Shi
Chunjing Xu
Chao Xu
Qi Tian
FedML
76
372
0
02 Apr 2019
On evaluating CNN representations for low resource medical image
  classification
On evaluating CNN representations for low resource medical image classification
Taruna Agrawal
Rahul Gupta
Shrikanth Narayanan
56
21
0
26 Mar 2019
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a
  Single Color Image
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image
Pengfei Yao
Zhen Fang
Fan Wu
Yao Feng
Jiwei Li
3DH
99
48
0
25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GANVLM
108
491
0
25 Mar 2019
Privacy Preserving Image-Based Localization
Privacy Preserving Image-Based Localization
Pablo Speciale
Johannes L. Schonberger
S. B. Kang
Sudipta N. Sinha
Marc Pollefeys
3DPC
64
84
0
13 Mar 2019
Paradox in Deep Neural Networks: Similar yet Different while Different
  yet Similar
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar
A. Akbarinia
K. Gegenfurtner
DRL
40
5
0
12 Mar 2019
Alignment Based Matching Networks for One-Shot Classification and
  Open-Set Recognition
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition
Paresh Malalur
Tommi Jaakkola
ObjDVLM
40
0
0
11 Mar 2019
Understanding the Mechanism of Deep Learning Framework for Lesion
  Detection in Pathological Images with Breast Cancer
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer
Wei‐Wen Hsu
Chung-Hao Chen
C. Hoa
Yu-Ling Hou
Xiang Gao
Y. Shao
Xueli Zhang
Jingjing Wang
Tao He
Yan Tai
MedImOOD
26
1
0
04 Mar 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach
Functional Transparency for Structured Data: a Game-Theoretic Approach
Guang-He Lee
Wengong Jin
David Alvarez-Melis
Tommi Jaakkola
77
19
0
26 Feb 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Ziqi Yang
E. Chang
Zhenkai Liang
MLAU
97
60
0
22 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging
Transfusion: Understanding Transfer Learning for Medical Imaging
M. Raghu
Chiyuan Zhang
Jon M. Kleinberg
Samy Bengio
MedIm
111
988
0
14 Feb 2019
Manifestation of Image Contrast in Deep Networks
Manifestation of Image Contrast in Deep Networks
A. Akbarinia
K. Gegenfurtner
33
4
0
12 Feb 2019
Invariant-equivariant representation learning for multi-class data
Invariant-equivariant representation learning for multi-class data
Ilya Feige
62
10
0
08 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of
  Key Ideas and Publications, and Bibliography for Explainable AI
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
Shane T. Mueller
R. Hoffman
W. Clancey
Abigail Emrey
Gary Klein
XAI
76
286
0
05 Feb 2019
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