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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
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic
  Deep Features
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep Features
Lorenzo Baraldi
C. Grana
Rita Cucchiara
42
9
0
09 Apr 2016
Comparative Deep Learning of Hybrid Representations for Image
  Recommendations
Comparative Deep Learning of Hybrid Representations for Image Recommendations
Chenyi Lei
Dong Liu
Weiping Li
Zhengjun Zha
Houqiang Li
77
112
0
05 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
334
2,996
0
30 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
277
10,296
0
27 Mar 2016
Harnessing Deep Neural Networks with Logic Rules
Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu
Xuezhe Ma
Zhengzhong Liu
Eduard H. Hovy
Eric Xing
AI4CENAI
126
615
0
21 Mar 2016
Learning Image Matching by Simply Watching Video
Learning Image Matching by Simply Watching Video
Gucan Long
L. Kneip
J. Álvarez
Hongdong Li
60
205
0
19 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
98
506
0
16 Mar 2016
Visual Concept Recognition and Localization via Iterative Introspection
Visual Concept Recognition and Localization via Iterative Introspection
Amir Rosenfeld
S. Ullman
85
23
0
14 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
69
948
0
10 Mar 2016
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
A. Champandard
GAN
102
248
0
05 Mar 2016
PCANet: An energy perspective
PCANet: An energy perspective
Jiasong Wu
Shijie Qiu
Youyong Kong
Longyu Jiang
L. Senhadji
H. Shu
23
19
0
03 Mar 2016
Weakly Supervised Localization using Deep Feature Maps
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency
H. Kwon
Hyungtae Lee
S. Karthikeyan
B. S. Manjunath
WSOL
79
73
0
01 Mar 2016
Representation of linguistic form and function in recurrent neural
  networks
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
Afra Alishahi
89
162
0
29 Feb 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRLGAN
209
1,144
0
08 Feb 2016
Disentangled Representations in Neural Models
Disentangled Representations in Neural Models
William F. Whitney
OODOCLDRL
137
18
0
07 Feb 2016
Unsupervised Regenerative Learning of Hierarchical Features in Spiking
  Deep Networks for Object Recognition
Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition
Priyadarshini Panda
Kaushik Roy
BDLSSL
75
104
0
03 Feb 2016
Locally-Supervised Deep Hybrid Model for Scene Recognition
Locally-Supervised Deep Hybrid Model for Scene Recognition
Sheng Guo
Weilin Huang
Limin Wang
Yu Qiao
93
54
0
27 Jan 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object
  Detection
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li
Junlong Liu
Chunhui Jiang
Liangpeng Zhang
Minlong Lin
Ke Tang
ObjD
68
7
0
25 Jan 2016
Combining Markov Random Fields and Convolutional Neural Networks for
  Image Synthesis
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
Chuan Li
Michael Wand
105
771
0
18 Jan 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
454
9,365
0
14 Dec 2015
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Aravindh Mahendran
Andrea Vedaldi
FAtt
123
536
0
07 Dec 2015
Predicting and visualizing psychological attributions with a deep neural
  network
Predicting and visualizing psychological attributions with a deep neural network
Edward Grant
Stephan Sahm
M. Zabihi
Marcel van Gerven
FAttCVBM
14
2
0
04 Dec 2015
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Sebastian Bach
Alexander Binder
G. Montavon
K. Müller
Wojciech Samek
87
199
0
01 Dec 2015
Design of Kernels in Convolutional Neural Networks for Image
  Classification
Design of Kernels in Convolutional Neural Networks for Image Classification
Zhun Sun
Mete Ozay
Takayuki Okatani
64
22
0
30 Nov 2015
Convergent Learning: Do different neural networks learn the same
  representations?
Convergent Learning: Do different neural networks learn the same representations?
Yixuan Li
J. Yosinski
Jeff Clune
Hod Lipson
John E. Hopcroft
SSL
172
372
0
24 Nov 2015
What Happened to My Dog in That Network: Unraveling Top-down Generators
  in Convolutional Neural Networks
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks
Patrick W. Gallagher
Shuai Tang
Zhuowen Tu
55
5
0
23 Nov 2015
Unsupervised learning of object semantic parts from internal states of
  CNNs by population encoding
Unsupervised learning of object semantic parts from internal states of CNNs by population encoding
Jianyu Wang
Zhishuai Zhang
Cihang Xie
Vittal Premachandran
Alan Yuille
117
43
0
21 Nov 2015
A Simple Hierarchical Pooling Data Structure for Loop Closure
A Simple Hierarchical Pooling Data Structure for Loop Closure
Xiaohan Fei
Konstantine Tsotsos
Stefano Soatto
42
13
0
20 Nov 2015
DOC: Deep OCclusion Estimation From a Single Image
DOC: Deep OCclusion Estimation From a Single Image
Peng Wang
Alan Yuille
109
39
0
20 Nov 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features
Deep Manifold Traversal: Changing Labels with Convolutional Features
Jacob R. Gardner
P. Upchurch
Matt J. Kusner
Yixuan Li
Kilian Q. Weinberger
Kavita Bala
John E. Hopcroft
90
67
0
19 Nov 2015
Why are deep nets reversible: A simple theory, with implications for
  training
Why are deep nets reversible: A simple theory, with implications for training
Sanjeev Arora
Yingyu Liang
Tengyu Ma
98
54
0
18 Nov 2015
Return of Frustratingly Easy Domain Adaptation
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
93
1,850
0
17 Nov 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
296
1,884
0
17 Nov 2015
Visualizing and Understanding Deep Texture Representations
Visualizing and Understanding Deep Texture Representations
Tsung-Yu Lin
Subhransu Maji
OOD
96
142
0
16 Nov 2015
Adversarial Manipulation of Deep Representations
Adversarial Manipulation of Deep Representations
S. Sabour
Yanshuai Cao
Fartash Faghri
David J. Fleet
GANAAML
155
287
0
16 Nov 2015
Understanding learned CNN features through Filter Decoding with
  Substitution
Understanding learned CNN features through Filter Decoding with Substitution
Ivet Rafegas
M. Vanrell
SSLFAtt
19
2
0
16 Nov 2015
Analyzing Stability of Convolutional Neural Networks in the Frequency
  Domain
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain
E. J. Heravi
H. H. Aghdam
D. Puig
FAtt
25
3
0
10 Nov 2015
Visual Language Modeling on CNN Image Representations
Visual Language Modeling on CNN Image Representations
Hiroharu Kato
Tatsuya Harada
FAtt
32
7
0
09 Nov 2015
A Century of Portraits: A Visual Historical Record of American High
  School Yearbooks
A Century of Portraits: A Visual Historical Record of American High School Yearbooks
Shiry Ginosar
Kate Rakelly
Sarah Sachs
Brian Yin
Crystal Lee
Philipp Krahenbuhl
Alexei A. Efros
95
113
0
09 Nov 2015
Generic decoding of seen and imagined objects using hierarchical visual
  features
Generic decoding of seen and imagined objects using hierarchical visual features
T. Horikawa
Y. Kamitani
50
454
0
22 Oct 2015
Evaluating the visualization of what a Deep Neural Network has learned
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
XAI
145
1,205
0
21 Sep 2015
A Neural Algorithm of Artistic Style
A Neural Algorithm of Artistic Style
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
GAN
201
2,874
0
26 Aug 2015
What is Holding Back Convnets for Detection?
What is Holding Back Convnets for Detection?
Bojan Pepik
Rodrigo Benenson
Tobias Ritschel
Bernt Schiele
ObjD
108
65
0
12 Aug 2015
Understanding Intra-Class Knowledge Inside CNN
Understanding Intra-Class Knowledge Inside CNN
D. Wei
Bolei Zhou
Antonio Torrabla
William Freeman
FAttSSL
101
88
0
09 Jul 2015
Discovering Characteristic Landmarks on Ancient Coins using
  Convolutional Networks
Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks
Jongpil Kim
Vladimir Pavlovic
41
14
0
30 Jun 2015
Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAttAI4CE
147
1,877
0
22 Jun 2015
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image
  Generation
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation
Angeliki Lazaridou
T. Nguyen
Raffaella Bernardi
Marco Baroni
22
6
0
10 Jun 2015
Inverting Visual Representations with Convolutional Networks
Inverting Visual Representations with Convolutional Networks
Alexey Dosovitskiy
Thomas Brox
SSLFAtt
122
670
0
09 Jun 2015
Understanding deep features with computer-generated imagery
Understanding deep features with computer-generated imagery
Mathieu Aubry
Bryan C. Russell
93
149
0
03 Jun 2015
Visualizing and Understanding Neural Models in NLP
Visualizing and Understanding Neural Models in NLP
Jiwei Li
Xinlei Chen
Eduard H. Hovy
Dan Jurafsky
MILMFAtt
110
707
0
02 Jun 2015
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