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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
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
185
505
0
10 Jun 2020
Privacy Adversarial Network: Representation Learning for Mobile Data
  Privacy
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy
Sicong Liu
Junzhao Du
Anshumali Shrivastava
Lin Zhong
93
14
0
08 Jun 2020
A Generic and Model-Agnostic Exemplar Synthetization Framework for
  Explainable AI
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI
Antonio Bărbălău
Adrian Cosma
Radu Tudor Ionescu
Marius Popescu
52
9
0
06 Jun 2020
Image Classification in the Dark using Quanta Image Sensors
Image Classification in the Dark using Quanta Image Sensors
Abhiram Gnanasambandam
Stanley H. Chan
VLM
65
36
0
03 Jun 2020
Explainable Artificial Intelligence: a Systematic Review
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone
Luca Longo
XAI
121
271
0
29 May 2020
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake
  Voices
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
Run Wang
Felix Juefei Xu
Yihao Huang
Qing Guo
Xiaofei Xie
Lei Ma
Yang Liu
AAML
91
107
0
28 May 2020
Network-to-Network Translation with Conditional Invertible Neural
  Networks
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach
Patrick Esser
Bjorn Ommer
40
3
0
27 May 2020
A Framework for Behavioral Biometric Authentication using Deep Metric
  Learning on Mobile Devices
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
Cong Wang
Yanru Xiao
Xing Gao
Li Li
Jun Wang
HAI
56
0
0
26 May 2020
Network Bending: Expressive Manipulation of Deep Generative Models
Network Bending: Expressive Manipulation of Deep Generative Models
Terence Broad
F. Leymarie
M. Grierson
AI4CE
46
2
0
25 May 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework
  for Deep Learning with Anonymized Intermediate Representations
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations
Ang Li
Yixiao Duan
Huanrui Yang
Yiran Chen
Jianlei Yang
103
50
0
23 May 2020
Interpreting the Latent Space of GANs via Correlation Analysis for
  Controllable Concept Manipulation
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
Ziqiang Li
Rentuo Tao
Hongjing Niu
Bin Li
GAN
53
4
0
23 May 2020
Focus Longer to See Better:Recursively Refined Attention for
  Fine-Grained Image Classification
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Prateek Shroff
Tianlong Chen
Yunchao Wei
Zhangyang Wang
43
12
0
22 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
87
142
0
21 May 2020
Feature Purification: How Adversarial Training Performs Robust Deep
  Learning
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLTAAML
126
151
0
20 May 2020
Reliable Local Explanations for Machine Listening
Reliable Local Explanations for Machine Listening
Saumitra Mishra
Emmanouil Benetos
Bob L. T. Sturm
S. Dixon
AAMLFAtt
46
21
0
15 May 2020
Transforming and Projecting Images into Class-conditional Generative
  Networks
Transforming and Projecting Images into Class-conditional Generative Networks
Minyoung Huh
Richard Y. Zhang
Jun-Yan Zhu
S. Paris
Aaron Hertzmann
106
111
0
04 May 2020
Visualizing Deep Learning-based Radio Modulation Classifier
Visualizing Deep Learning-based Radio Modulation Classifier
Liang Huang
You Zhang
Weijian Pan
Jinyin Chen
L. Qian
Yuan Wu
43
32
0
03 May 2020
Microscopy Image Restoration using Deep Learning on W2S
Microscopy Image Restoration using Deep Learning on W2S
M. Chatton
45
2
0
22 Apr 2020
Assessing the Reliability of Visual Explanations of Deep Models with
  Adversarial Perturbations
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations
Dan Valle
Tiago Pimentel
Adriano Veloso
FAttXAIAAML
40
3
0
22 Apr 2020
Games for Fairness and Interpretability
Games for Fairness and Interpretability
Eric Chu
Nabeel Gillani
S. Makini
FaML
45
4
0
20 Apr 2020
Multi-Scale Thermal to Visible Face Verification via Attribute Guided
  Synthesis
Multi-Scale Thermal to Visible Face Verification via Attribute Guided Synthesis
Xing Di
B. Riggan
Shuowen Hu
Nathan J. Short
Vishal M. Patel
CVBM
76
33
0
20 Apr 2020
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
112
256
0
10 Apr 2020
ASL Recognition with Metric-Learning based Lightweight Network
ASL Recognition with Metric-Learning based Lightweight Network
Evgeny Izutov
SLR
58
6
0
10 Apr 2020
Information Leakage in Embedding Models
Information Leakage in Embedding Models
Congzheng Song
A. Raghunathan
MIACV
96
275
0
31 Mar 2020
Weakly Supervised PET Tumor Detection Using Class Response
Weakly Supervised PET Tumor Detection Using Class Response
Amine Amyar
R. Modzelewski
P. Vera
V. Morard
S. Ruan
MedIm
54
5
0
18 Mar 2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face
  Recognition
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition
C. Duong
Thanh-Dat Truong
Kha Gia Quach
Hung Bui
Kaushik Roy
Khoa Luu
CVBM
77
54
0
16 Mar 2020
Semantic Pyramid for Image Generation
Semantic Pyramid for Image Generation
Assaf Shocher
Yossi Gandelsman
Inbar Mosseri
Michal Yarom
Michal Irani
William T. Freeman
Tali Dekel
GAN
111
55
0
13 Mar 2020
BigGAN-based Bayesian reconstruction of natural images from human brain
  activity
BigGAN-based Bayesian reconstruction of natural images from human brain activity
Kai Qiao
Jian Chen
Linyuan Wang
Chi Zhang
Li Tong
Bin Yan
GAN
54
29
0
13 Mar 2020
Explaining Knowledge Distillation by Quantifying the Knowledge
Explaining Knowledge Distillation by Quantifying the Knowledge
Xu Cheng
Zhefan Rao
Yilan Chen
Quanshi Zhang
86
122
0
07 Mar 2020
Privacy-preserving Learning via Deep Net Pruning
Privacy-preserving Learning via Deep Net Pruning
Yangsibo Huang
Yushan Su
S. S. Ravi
Zhao Song
Sanjeev Arora
Keqin Li
MLT
73
16
0
04 Mar 2020
Matching Neuromorphic Events and Color Images via Adversarial Learning
Matching Neuromorphic Events and Color Images via Adversarial Learning
Fang Xu
Shijie Lin
Wen Yang
Lei Yu
Dengxin Dai
Guisong Xia
37
1
0
02 Mar 2020
Disentangling Image Distortions in Deep Feature Space
Disentangling Image Distortions in Deep Feature Space
Simone Bianco
Luigi Celona
Paolo Napoletano
37
14
0
26 Feb 2020
An Outer-approximation Guided Optimization Approach for Constrained
  Neural Network Inverse Problems
An Outer-approximation Guided Optimization Approach for Constrained Neural Network Inverse Problems
Myun-Seok Cheon
72
5
0
24 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Zou
FAttTDI
86
115
0
23 Feb 2020
CRL: Class Representative Learning for Image Classification
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar
Yugyung Lee
VLM
105
1
0
16 Feb 2020
Classifying the classifier: dissecting the weight space of neural
  networks
Classifying the classifier: dissecting the weight space of neural networks
Gabriel Eilertsen
Daniel Jonsson
Timo Ropinski
Jonas Unger
Anders Ynnerman
76
54
0
13 Feb 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep
  Networks
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek
Pascal Sturmfels
Su-In Lee
FAtt
90
149
0
10 Feb 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
113
295
0
01 Feb 2020
Examining the Benefits of Capsule Neural Networks
Examining the Benefits of Capsule Neural Networks
Arjun Punjabi
Jonas M. Schmid
Aggelos K. Katsaggelos
60
12
0
29 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
  Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma
Wei Niu
Tianyun Zhang
Sijia Liu
Sheng Lin
...
Xiang Chen
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
103
27
0
20 Jan 2020
ImagineNet: Restyling Apps Using Neural Style Transfer
ImagineNet: Restyling Apps Using Neural Style Transfer
Michael H. Fischer
Richard R. Yang
M. Lam
51
3
0
14 Jan 2020
Boosting Occluded Image Classification via Subspace Decomposition Based
  Estimation of Deep Features
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
Feng Cen
Guanghui Wang
87
32
0
13 Jan 2020
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge
  Graphs
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs
Marcel Hildebrandt
Jorge Andres Quintero Serna
Yunpu Ma
Martin Ringsquandl
Mitchell Joblin
Volker Tresp
58
1
0
09 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAMLAI4CE
96
318
0
08 Jan 2020
Semi-Supervised Learning with Normalizing Flows
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov
Polina Kirichenko
Marc Finzi
A. Wilson
DRLBDL
100
115
0
30 Dec 2019
White Noise Analysis of Neural Networks
White Noise Analysis of Neural Networks
Ali Borji
Sikun Lin
FAtt
53
12
0
23 Dec 2019
RPGAN: GANs Interpretability via Random Routing
RPGAN: GANs Interpretability via Random Routing
A. Voynov
Artem Babenko
GAN
68
7
0
23 Dec 2019
Semantic Segmentation from Remote Sensor Data and the Exploitation of
  Latent Learning for Classification of Auxiliary Tasks
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks
B. Chatterjee
Charalambos (Charis) Poullis
SSeg
33
17
0
19 Dec 2019
Metamorphic Testing for Object Detection Systems
Metamorphic Testing for Object Detection Systems
Shuai Wang
Z. Su
75
24
0
19 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
161
570
0
18 Dec 2019
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