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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
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Papers citing "Understanding Deep Image Representations by Inverting Them"

50 / 338 papers shown
Title
Attribute-Guided Sketch Generation
Attribute-Guided Sketch Generation
Hao Tang
Xinya Chen
Wei Wang
Dan Xu
Jason J. Corso
N. Sebe
Yan Yan
CVBM
GAN
28
23
0
28 Jan 2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network
  for Person Re-Identification
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification
Youngmin Ro
Jongwon Choi
D. Jo
Byeongho Heo
Jongin Lim
J. Choi
27
16
0
18 Jan 2019
Integrating Learning and Reasoning with Deep Logic Models
Integrating Learning and Reasoning with Deep Logic Models
G. Marra
Francesco Giannini
Michelangelo Diligenti
Marco Gori
NAI
37
56
0
14 Jan 2019
LEP-CNN: A Lightweight Edge Device Assisted Privacy-preserving CNN
  Inference Solution for IoT
LEP-CNN: A Lightweight Edge Device Assisted Privacy-preserving CNN Inference Solution for IoT
Yifan Tian
Jiawei Yuan
Shucheng Yu
Yantian Hou
21
9
0
14 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
GAN
14
99
0
09 Jan 2019
Low-Cost Transfer Learning of Face Tasks
Low-Cost Transfer Learning of Face Tasks
T. John
Isha Dua
V. Balasubramanian
C. V. Jawahar
CLIP
CVBM
VLM
13
0
0
09 Jan 2019
Interpretable CNNs for Object Classification
Interpretable CNNs for Object Classification
Quanshi Zhang
Xin Eric Wang
Ying Nian Wu
Huilin Zhou
Song-Chun Zhu
24
54
0
08 Jan 2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks
Zenan Ling
Haotian Ma
Yu Yang
Robert C. Qiu
Song-Chun Zhu
Quanshi Zhang
MILM
14
3
0
08 Jan 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After
  Learning
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
Peter F. Schulam
Suchi Saria
OOD
27
103
0
02 Jan 2019
Soft Autoencoder and Its Wavelet Adaptation Interpretation
Soft Autoencoder and Its Wavelet Adaptation Interpretation
Fenglei Fan
Mengzhou Li
Yueyang Teng
Ge Wang
24
3
0
31 Dec 2018
Mining Interpretable AOG Representations from Convolutional Networks via
  Active Question Answering
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
19
14
0
18 Dec 2018
Explaining Neural Networks Semantically and Quantitatively
Explaining Neural Networks Semantically and Quantitatively
Runjin Chen
Hao Chen
Ge Huang
Jie Ren
Quanshi Zhang
FAtt
23
54
0
18 Dec 2018
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces
  using Generative Adversarial Networks
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
He Zhang
B. Riggan
Shuowen Hu
Nathan J. Short
Vishal M. Patel
CVBM
GAN
35
82
0
12 Dec 2018
Deep Energies for Estimating Three-Dimensional Facial Pose and
  Expression
Deep Energies for Estimating Three-Dimensional Facial Pose and Expression
Michael Bao
Jane Wu
Xinwei Yao
Ronald Fedkiw
3DH
23
4
0
07 Dec 2018
Understanding Individual Decisions of CNNs via Contrastive
  Backpropagation
Understanding Individual Decisions of CNNs via Contrastive Backpropagation
Jindong Gu
Yinchong Yang
Volker Tresp
FAtt
17
94
0
05 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From
  Federated Learning
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Peng Kuang
Mengkai Song
Zhifei Zhang
Yang Song
Qian Wang
Hairong Qi
FedML
28
776
0
03 Dec 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data
  Exploration
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
M. Cavallo
Çağatay Demiralp
11
55
0
28 Nov 2018
Learning to synthesize: splitting and recombining low and high spatial
  frequencies for image recovery
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery
Mo Deng
Shuai Li
George Barbastathis
SupR
27
18
0
19 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis
An Overview of Computational Approaches for Interpretation Analysis
Philipp Blandfort
Jörn Hees
D. Patton
21
2
0
09 Nov 2018
Semantic bottleneck for computer vision tasks
Semantic bottleneck for computer vision tasks
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
22
15
0
06 Nov 2018
Analyzing biological and artificial neural networks: challenges with
  opportunities for synergy?
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David Barrett
Ari S. Morcos
Jakob H. Macke
AI4CE
25
110
0
31 Oct 2018
Discovering Fair Representations in the Data Domain
Discovering Fair Representations in the Data Domain
Novi Quadrianto
V. Sharmanska
Oliver Thomas
21
3
0
15 Oct 2018
Functionality-Oriented Convolutional Filter Pruning
Functionality-Oriented Convolutional Filter Pruning
Zhuwei Qin
Fuxun Yu
Chenchen Liu
Xiang Chen
24
4
0
12 Oct 2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan
Yuxin Peng
DiffM
33
37
0
21 Aug 2018
Techniques for Interpretable Machine Learning
Techniques for Interpretable Machine Learning
Mengnan Du
Ninghao Liu
Xia Hu
FaML
39
1,073
0
31 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
29
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
31
185
0
15 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
21
53
0
03 Jul 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
16
24
0
22 Jun 2018
Interpretable Discovery in Large Image Data Sets
Interpretable Discovery in Large Image Data Sets
K. Wagstaff
Jake H. Lee
22
9
0
21 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
35
40
0
13 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
FAtt
MedIm
20
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
FAtt
MedIm
20
24
0
31 May 2018
How Important Is a Neuron?
How Important Is a Neuron?
Kedar Dhamdhere
Mukund Sundararajan
Qiqi Yan
FAtt
GNN
22
128
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
46
538
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
28
154
0
26 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
27
41
0
10 May 2018
Deep Painterly Harmonization
Deep Painterly Harmonization
Fujun Luan
Sylvain Paris
Eli Shechtman
Kavita Bala
21
69
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
22
220
0
01 Apr 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
30
33
0
20 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
30
53
0
12 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
38
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
30
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
33
117
0
28 Feb 2018
i-RevNet: Deep Invertible Networks
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
52
333
0
20 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
32
51
0
02 Feb 2018
Visual Interpretability for Deep Learning: a Survey
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang
Song-Chun Zhu
FaML
HAI
17
810
0
02 Feb 2018
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
38
682
0
06 Dec 2017
Interpreting Deep Visual Representations via Network Dissection
Interpreting Deep Visual Representations via Network Dissection
Bolei Zhou
David Bau
A. Oliva
Antonio Torralba
FAtt
MILM
29
323
0
15 Nov 2017
Generic 3D Representation via Pose Estimation and Matching
Generic 3D Representation via Pose Estimation and Matching
Amir Zamir
T. Wekel
Pulkit Agrawal
Colin Wei
Jitendra Malik
Silvio Savarese
3DV
15
94
0
23 Oct 2017
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