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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
Functionality-Oriented Convolutional Filter Pruning
Functionality-Oriented Convolutional Filter Pruning
Zhuwei Qin
Fuxun Yu
Chenchen Liu
Xiang Chen
58
4
0
12 Oct 2018
Exposition and Interpretation of the Topology of Neural Networks
Exposition and Interpretation of the Topology of Neural Networks
Rickard Brüel-Gabrielsson
Gunnar Carlsson
FAtt
80
54
0
08 Oct 2018
Part-Level Convolutional Neural Networks for Pedestrian Detection Using
  Saliency and Boundary Box Alignment
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment
Inyong Yun
Cheolkon Jung
Xinran Wang
Alfred Hero
Joong Kyu Kim
CVBM
35
11
0
01 Oct 2018
Déjà Vu: an empirical evaluation of the memorization properties of
  ConvNets
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
54
18
0
17 Sep 2018
Neural Comic Style Transfer: Case Study
Neural Comic Style Transfer: Case Study
Maciej Pesko
Tomasz Trzciñski
121
3
0
05 Sep 2018
Image Manipulation with Perceptual Discriminators
Image Manipulation with Perceptual Discriminators
Diana Sungatullina
Egor Zakharov
Dmitry Ulyanov
Victor Lempitsky
GAN
82
22
0
05 Sep 2018
Nested multi-instance classification
Nested multi-instance classification
Alexander Stec
Diego Klabjan
J. Utke
15
0
0
30 Aug 2018
DeepTracker: Visualizing the Training Process of Convolutional Neural
  Networks
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks
Dongyu Liu
Weiwei Cui
Kai Jin
Yuxiao Guo
Huamin Qu
HAI
56
35
0
26 Aug 2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan
Yuxin Peng
DiffM
68
37
0
21 Aug 2018
Language Guided Fashion Image Manipulation with Feature-wise
  Transformations
Language Guided Fashion Image Manipulation with Feature-wise Transformations
M. Günel
Erkut Erdem
Aykut Erdem
88
24
0
12 Aug 2018
Techniques for Interpretable Machine Learning
Techniques for Interpretable Machine Learning
Mengnan Du
Ninghao Liu
Helen Zhou
FaML
103
1,098
0
31 Jul 2018
Diverse feature visualizations reveal invariances in early layers of
  deep neural networks
Diverse feature visualizations reveal invariances in early layers of deep neural networks
Santiago A. Cadena
Marissa A. Weis
Leon A. Gatys
Matthias Bethge
Alexander S. Ecker
FAtt
74
29
0
27 Jul 2018
A Style-Aware Content Loss for Real-time HD Style Transfer
A Style-Aware Content Loss for Real-time HD Style Transfer
A. Sanakoyeu
Dmytro Kotovenko
Sabine Lang
Bjorn Ommer
99
216
0
26 Jul 2018
Machine Learning Interpretability: A Science rather than a tool
Machine Learning Interpretability: A Science rather than a tool
Abdul Karim
Avinash Mishra
M. A. Hakim Newton
A. Sattar
56
6
0
18 Jul 2018
An Extensive Review on Spectral Imaging in Biometric Systems: Challenges
  and Advancements
An Extensive Review on Spectral Imaging in Biometric Systems: Challenges and Advancements
R. Munir
Rizwan Ahmed Khan
CVBM
91
19
0
16 Jul 2018
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She
Kexin Pei
Dave Epstein
Junfeng Yang
Baishakhi Ray
Suman Jana
81
186
0
15 Jul 2018
Fuzzy Logic Interpretation of Quadratic Networks
Fuzzy Logic Interpretation of Quadratic Networks
Fenglei Fan
Ge Wang
73
7
0
04 Jul 2018
Confidential Inference via Ternary Model Partitioning
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
103
53
0
03 Jul 2018
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks
Jens Behrmann
Sören Dittmer
Pascal Fernsel
Peter Maass
100
12
0
25 Jun 2018
Focusing on What is Relevant: Time-Series Learning and Understanding
  using Attention
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
Phongtharin Vinayavekhin
Subhajit Chaudhury
Asim Munawar
Don Joven Agravante
Giovanni De Magistris
Daiki Kimura
Ryuki Tachibana
AI4TS
54
24
0
22 Jun 2018
Interpretable Discovery in Large Image Data Sets
Interpretable Discovery in Large Image Data Sets
K. Wagstaff
Jake H. Lee
42
9
0
21 Jun 2018
Como funciona o Deep Learning
Como funciona o Deep Learning
M. Ponti
G. B. P. D. Costa
44
14
0
20 Jun 2018
A Unified Framework for Generalizable Style Transfer: Style and Content
  Separation
A Unified Framework for Generalizable Style Transfer: Style and Content Separation
Yexun Zhang
Ya Zhang
Wenbin Cai
64
40
0
13 Jun 2018
Inverting Supervised Representations with Autoregressive Neural Density
  Models
Inverting Supervised Representations with Autoregressive Neural Density Models
C. Nash
Nate Kushman
Christopher K. I. Williams
DRL
64
25
0
01 Jun 2018
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Guannan Zhao
Bo Zhou
Kaiwen Wang
Rui Jiang
Min Xu
FAttMedIm
71
48
0
31 May 2018
DeepMiner: Discovering Interpretable Representations for Mammogram
  Classification and Explanation
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
Jimmy Wu
Bolei Zhou
D. Peck
S. Hsieh
V. Dialani
Lester W. Mackey
Genevieve Patterson
FAttMedIm
71
24
0
31 May 2018
How Important Is a Neuron?
How Important Is a Neuron?
Kedar Dhamdhere
Mukund Sundararajan
Qiqi Yan
FAttGNN
82
132
0
30 May 2018
Getting to Know Low-light Images with The Exclusively Dark Dataset
Getting to Know Low-light Images with The Exclusively Dark Dataset
Y. P. Loh
Chee Seng Chan
103
567
0
29 May 2018
Vehicle Instance Segmentation from Aerial Image and Video Using a
  Multi-Task Learning Residual Fully Convolutional Network
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network
Lichao Mou
Xiaoxiang Zhu
SSeg
65
155
0
26 May 2018
Semantic Network Interpretation
Semantic Network Interpretation
Pei Guo
Ryan Farrell
MILMFAtt
36
0
0
23 May 2018
Unsupervised Learning of Neural Networks to Explain Neural Networks
Unsupervised Learning of Neural Networks to Explain Neural Networks
Quanshi Zhang
Yu Yang
Yuchen Liu
Ying Nian Wu
Song-Chun Zhu
FAttSSL
72
27
0
18 May 2018
Semi-Supervised Domain Adaptation with Representation Learning for
  Semantic Segmentation across Time
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time
Assia Benbihi
Matthieu Geist
C´edric Pradalier
OODSSeg
24
0
0
10 May 2018
Neural Best-Buddies: Sparse Cross-Domain Correspondence
Neural Best-Buddies: Sparse Cross-Domain Correspondence
Kfir Aberman
Jing Liao
Mingyi Shi
Dani Lischinski
Baoquan Chen
Daniel Cohen-Or
67
41
0
10 May 2018
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic
  Segmentation of High Resolution Remote Sensing Images
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images
Lichao Mou
Xiaoxiang Zhu
SSeg
180
77
0
05 May 2018
Detecting Linguistic Characteristics of Alzheimer's Dementia by
  Interpreting Neural Models
Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models
Sweta Karlekar
Tong Niu
Joey Tianyi Zhou
43
109
0
17 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning
Multi-level Semantic Feature Augmentation for One-shot Learning
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
90
237
0
15 Apr 2018
Deep Painterly Harmonization
Deep Painterly Harmonization
Fujun Luan
Sylvain Paris
Eli Shechtman
Kavita Bala
102
71
0
09 Apr 2018
Seeing Voices and Hearing Faces: Cross-modal biometric matching
Seeing Voices and Hearing Faces: Cross-modal biometric matching
Arsha Nagrani
Samuel Albanie
Andrew Zisserman
CVBM
116
221
0
01 Apr 2018
Understanding Autoencoders with Information Theoretic Concepts
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
144
136
0
30 Mar 2018
What Do We Understand About Convolutional Networks?
What Do We Understand About Convolutional Networks?
Isma Hadji
Richard P. Wildes
FAtt
68
99
0
23 Mar 2018
What do Deep Networks Like to See?
What do Deep Networks Like to See?
Sebastián M. Palacio
Joachim Folz
Jörn Hees
Federico Raue
Damian Borth
Andreas Dengel
SSL
51
30
0
22 Mar 2018
Thermal to Visible Synthesis of Face Images using Multiple Regions
Thermal to Visible Synthesis of Face Images using Multiple Regions
B. Riggan
Nathan J. Short
Shuowen Hu
CVBM
60
34
0
20 Mar 2018
Visual Psychophysics for Making Face Recognition Algorithms More
  Explainable
Visual Psychophysics for Making Face Recognition Algorithms More Explainable
Brandon RichardWebster
So Yon Kwon
Christopher Clarizio
Samuel E. Anthony
Walter J. Scheirer
CVBM
72
41
0
19 Mar 2018
Towards Explanation of DNN-based Prediction with Guided Feature
  Inversion
Towards Explanation of DNN-based Prediction with Guided Feature Inversion
Mengnan Du
Ninghao Liu
Qingquan Song
Helen Zhou
FAtt
108
127
0
19 Mar 2018
Correction by Projection: Denoising Images with Generative Adversarial
  Networks
Correction by Projection: Denoising Images with Generative Adversarial Networks
Subarna Tripathi
Zachary Chase Lipton
Truong Thao Nguyen
70
53
0
12 Mar 2018
An Introduction to Image Synthesis with Generative Adversarial Nets
An Introduction to Image Synthesis with Generative Adversarial Nets
He Huang
Philip S. Yu
Changhu Wang
GAN
91
187
0
12 Mar 2018
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Kai Xu
Dae Hoon Park
Chang Yi
Charles Sutton
HAIFAtt
82
26
0
11 Mar 2018
IcoRating: A Deep-Learning System for Scam ICO Identification
IcoRating: A Deep-Learning System for Scam ICO Identification
Shuqing Bian
Zhenpeng Deng
F. Li
Will Monroe
Peng Shi
...
Sikuang Wang
William Yang Wang
Arianna Yuan
Tianwei Zhang
Jiwei Li
55
37
0
08 Mar 2018
Egocentric Basketball Motion Planning from a Single First-Person Image
Egocentric Basketball Motion Planning from a Single First-Person Image
Gedas Bertasius
Aaron Chan
Jianbo Shi
EgoV
59
25
0
04 Mar 2018
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully
  Residual Convolutional-Deconvolutional Network
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network
Lichao Mou
Xiaoxiang Zhu
MDE
96
120
0
28 Feb 2018
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