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Inverting Visual Representations with Convolutional Networks

Inverting Visual Representations with Convolutional Networks

9 June 2015
Alexey Dosovitskiy
Thomas Brox
    SSL
    FAtt
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Papers citing "Inverting Visual Representations with Convolutional Networks"

23 / 123 papers shown
Title
Learning Uncertain Convolutional Features for Accurate Saliency
  Detection
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Pingping Zhang
D. Wang
Huchuan Lu
Hongyu Wang
Baocai Yin
30
429
0
07 Aug 2017
Towards Understanding the Invertibility of Convolutional Neural Networks
Towards Understanding the Invertibility of Convolutional Neural Networks
A. Gilbert
Yi Zhang
Kibok Lee
Y. Zhang
Honglak Lee
16
64
0
24 May 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
J. Hopcroft
21
6
0
02 Apr 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
36
5,863
0
04 Mar 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
3DH
CVBM
37
141
0
17 Jan 2017
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
VisualBackProp: efficient visualization of CNNs
VisualBackProp: efficient visualization of CNNs
Mariusz Bojarski
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
Karol Zieba
FAtt
36
74
0
16 Nov 2016
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
21
70
0
14 Nov 2016
Understanding intermediate layers using linear classifier probes
Understanding intermediate layers using linear classifier probes
Guillaume Alain
Yoshua Bengio
FAtt
53
897
0
05 Oct 2016
Understanding Convolutional Neural Networks with A Mathematical Model
Understanding Convolutional Neural Networks with A Mathematical Model
C.-C. Jay Kuo
FAtt
21
371
0
14 Sep 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
62
671
0
30 Aug 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
A. Schwing
M. Hasegawa-Johnson
Minh Do
GAN
VLM
36
1,169
0
26 Jul 2016
Spatially Supervised Recurrent Convolutional Neural Networks for Visual
  Object Tracking
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
G. Ning
Zhi Zhang
Chen Huang
Zhihai He
Xiaobo Ren
Haohong Wang
34
245
0
19 Jul 2016
Identifying individual facial expressions by deconstructing a neural
  network
Identifying individual facial expressions by deconstructing a neural network
F. Arbabzadah
G. Montavon
K. Müller
Wojciech Samek
CVBM
FAtt
30
31
0
23 Jun 2016
The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
31
5
0
30 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
HAI
45
471
0
24 Apr 2016
Synthetic Data for Text Localisation in Natural Images
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
78
1,418
0
22 Apr 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
48
10,168
0
27 Mar 2016
Multifaceted Feature Visualization: Uncovering the Different Types of
  Features Learned By Each Neuron in Deep Neural Networks
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
19
323
0
11 Feb 2016
Visualizing and Understanding Deep Texture Representations
Visualizing and Understanding Deep Texture Representations
Tsung-Yu Lin
Subhransu Maji
OOD
19
142
0
16 Nov 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
74
1,180
0
21 Sep 2015
Exemplar Based Deep Discriminative and Shareable Feature Learning for
  Scene Image Classification
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification
Zhen Zuo
G. Wang
Bing Shuai
Lifan Zhao
Qingxiong Yang
19
69
0
21 Aug 2015
Mining Mid-level Visual Patterns with Deep CNN Activations
Mining Mid-level Visual Patterns with Deep CNN Activations
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
23
54
0
21 Jun 2015
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