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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
How intelligent are convolutional neural networks?
How intelligent are convolutional neural networks?
Zhennan Yan
Xiangmin Zhou
76
11
0
18 Sep 2017
Multi-scale Deep Learning Architectures for Person Re-identification
Multi-scale Deep Learning Architectures for Person Re-identification
Xuelin Qian
Yanwei Fu
Yu-Gang Jiang
Tao Xiang
Xiangyang Xue
106
280
0
15 Sep 2017
ExprGAN: Facial Expression Editing with Controllable Expression
  Intensity
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
Hui Ding
K. Sricharan
Rama Chellappa
GANCVBM
90
201
0
12 Sep 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
B. Chang
Lili Meng
E. Haber
Lars Ruthotto
David Begert
E. Holtham
AI4CE
108
265
0
12 Sep 2017
Investigating how well contextual features are captured by
  bi-directional recurrent neural network models
Investigating how well contextual features are captured by bi-directional recurrent neural network models
Kushal Chawla
Sunil Kumar Sahu
Ashish Anand
55
2
0
03 Sep 2017
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories,
  Tools and Challenges for the Community
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community
John E. Ball
Derek T. Anderson
Chee Seng Chan
93
521
0
01 Sep 2017
Explainable Artificial Intelligence: Understanding, Visualizing and
  Interpreting Deep Learning Models
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek
Thomas Wiegand
K. Müller
XAIVLM
127
1,199
0
28 Aug 2017
Recent Advances in the Applications of Convolutional Neural Networks to
  Medical Image Contour Detection
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Zizhao Zhang
Fuyong Xing
H. Su
Xiaoshuang Shi
Ling Yang
AAML
58
13
0
24 Aug 2017
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the
  iCub Humanoid
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid
Marco Melis
Ambra Demontis
Battista Biggio
Gavin Brown
Giorgio Fumera
Fabio Roli
AAML
81
98
0
23 Aug 2017
A deep architecture for unified aesthetic prediction
A deep architecture for unified aesthetic prediction
Naila Murray
Albert Gordo
101
47
0
16 Aug 2017
Generative Adversarial Network-based Synthesis of Visible Faces from
  Polarimetric Thermal Faces
Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces
He Zhang
Vishal M. Patel
B. Riggan
Shuowen Hu
CVBMGAN
80
57
0
08 Aug 2017
Amulet: Aggregating Multi-level Convolutional Features for Salient
  Object Detection
Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
Pingping Zhang
D. Wang
Huchuan Lu
Hongyu Wang
Xiang Ruan
113
741
0
07 Aug 2017
Interpreting CNN Knowledge via an Explanatory Graph
Interpreting CNN Knowledge via an Explanatory Graph
Quanshi Zhang
Ruiming Cao
Feng Shi
Ying Nian Wu
Song-Chun Zhu
FAttGNNSSL
98
243
0
05 Aug 2017
Interactively Transferring CNN Patterns for Part Localization
Interactively Transferring CNN Patterns for Part Localization
Quanshi Zhang
Ruiming Cao
Shengming Zhang
Mark Edmonds
Ying Nian Wu
Song-Chun Zhu
70
16
0
05 Aug 2017
On the Selective and Invariant Representation of DCNN for
  High-Resolution Remote Sensing Image Recognition
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition
Jie Chen
Chao Yuan
M. Deng
Chao Tao
Jian Peng
Haifeng Li
76
1
0
04 Aug 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
86
1
0
20 Jul 2017
Exploiting Convolutional Representations for Multiscale Human Settlement
  Detection
Exploiting Convolutional Representations for Multiscale Human Settlement Detection
D. Lunga
D. Patlolla
Lexie Yang
Jeanette E. Weaver
Budhendra Bhadhuri
13
1
0
18 Jul 2017
Learning Photography Aesthetics with Deep CNNs
Learning Photography Aesthetics with Deep CNNs
G. Malu
R. Bapi
B. Indurkhya
47
42
0
13 Jul 2017
Image Companding and Inverse Halftoning using Deep Convolutional Neural
  Networks
Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks
Xianxu Hou
Guoping Qiu
61
35
0
01 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
299
2,281
0
24 Jun 2017
Using deep learning to reveal the neural code for images in primary
  visual cortex
Using deep learning to reveal the neural code for images in primary visual cortex
W. Kindel
Elijah D. Christensen
J. Zylberberg
FAtt
51
29
0
19 Jun 2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning
  Dynamics and Interpretability
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
M. Raghu
Justin Gilmer
J. Yosinski
Jascha Narain Sohl-Dickstein
DRL
84
31
0
19 Jun 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
114
83
0
29 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
176
1,376
0
18 May 2017
Cooperative Learning with Visual Attributes
Cooperative Learning with Visual Attributes
Tanmay Batra
Devi Parikh
99
30
0
16 May 2017
Detecting Statistical Interactions from Neural Network Weights
Detecting Statistical Interactions from Neural Network Weights
Michael Tsang
Dehua Cheng
Yan Liu
110
193
0
14 May 2017
Neural Style Transfer: A Review
Neural Style Transfer: A Review
Yongcheng Jing
Yezhou Yang
Zunlei Feng
Jingwen Ye
Yizhou Yu
Xiuming Zhang
156
742
0
11 May 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILMFAtt
213
1,526
1
19 Apr 2017
Interpretable 3D Human Action Analysis with Temporal Convolutional
  Networks
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
Tae Soo Kim
A. Reiter
3DH
51
603
0
14 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAttAAML
133
1,531
0
11 Apr 2017
Mining Object Parts from CNNs via Active Question-Answering
Mining Object Parts from CNNs via Active Question-Answering
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
70
25
0
11 Apr 2017
Clothing and People - A Social Signal Processing Perspective
Clothing and People - A Social Signal Processing Perspective
Maedeh Aghaei
Federico Parezzan
Mariella Dimiccoli
Petia Radeva
Marco Cristani
18
9
0
07 Apr 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic
  Encryption
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
Ryo Yonetani
Vishnu Boddeti
Kris Kitani
Yoichi Sato
PICVFedML
96
67
0
07 Apr 2017
Randomness in Deconvolutional Networks for Visual Representation
Randomness in Deconvolutional Networks for Visual Representation
Kun He
Jingbo Wang
Man Zhu
Yao Shu
Mengxiao Zhang
Pan Zhou
Liwei Wang
John E. Hopcroft
64
6
0
02 Apr 2017
Diabetic Retinopathy Detection via Deep Convolutional Networks for
  Discriminative Localization and Visual Explanation
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
Zhiguang Wang
Jianbo Yang
MedImFAtt
105
108
0
31 Mar 2017
Self corrective Perturbations for Semantic Segmentation and
  Classification
Self corrective Perturbations for Semantic Segmentation and Classification
S. Sankaranarayanan
Arpit Jain
Ser Nam Lim
26
0
0
23 Mar 2017
Multi-style Generative Network for Real-time Transfer
Multi-style Generative Network for Real-time Transfer
Hang Zhang
Kristin J. Dana
86
280
0
20 Mar 2017
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile
  Analytics
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
Seyed Ali Osia
Ali Shahin Shamsabadi
Sina Sajadmanesh
A. Taheri
Kleomenis Katevas
Hamid R. Rabiee
Nicholas D. Lane
Hamed Haddadi
85
236
0
08 Mar 2017
Diversified Texture Synthesis with Feed-forward Networks
Diversified Texture Synthesis with Feed-forward Networks
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
89
268
0
05 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
397
6,065
0
04 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
198
233
0
28 Feb 2017
Analyzing Learned Convnet Features with Dirichlet Process Gaussian
  Mixture Models
Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models
David Malmgren-Hansen
A. Nielsen
Rasmus Engholm
FAtt
15
0
0
23 Feb 2017
Differential Geometric Retrieval of Deep Features
Differential Geometric Retrieval of Deep Features
Y. Qian
E. Vazquez
B. Sengupta
37
3
0
21 Feb 2017
Precise Recovery of Latent Vectors from Generative Adversarial Networks
Precise Recovery of Latent Vectors from Generative Adversarial Networks
Zachary Chase Lipton
Subarna Tripathi
GAN
100
207
0
15 Feb 2017
Understanding trained CNNs by indexing neuron selectivity
Understanding trained CNNs by indexing neuron selectivity
Ivet Rafegas
M. Vanrell
Luís A. Alexandre
Guillem Arias
FAtt
96
41
0
01 Feb 2017
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network
He Zhang
Vishwanath A. Sindagi
Vishal M. Patel
GAN
230
1,030
0
21 Jan 2017
Synthetic to Real Adaptation with Generative Correlation Alignment
  Networks
Synthetic to Real Adaptation with Generative Correlation Alignment Networks
M. Mahmoodi
Kate Saenko
OOD
85
22
0
19 Jan 2017
Unknowable Manipulators: Social Network Curator Algorithms
Unknowable Manipulators: Social Network Curator Algorithms
Samuel Albanie
H. Deng
Congming Shi
26
8
0
17 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DHCVBM
103
140
0
17 Jan 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
106
1,812
0
15 Jan 2017
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