ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1603.06668
  4. Cited By
Learning Representations for Automatic Colorization

Learning Representations for Automatic Colorization

22 March 2016
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
    VLM
    SSL
ArXivPDFHTML

Papers citing "Learning Representations for Automatic Colorization"

23 / 173 papers shown
Title
Inner Space Preserving Generative Pose Machine
Inner Space Preserving Generative Pose Machine
Shuangjun Liu
Sarah Ostadabbas
GAN
18
6
0
06 Aug 2018
Unsupervised Learning of Object Landmarks through Conditional Image
  Generation
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Tomas Jakab
Ankush Gupta
Hakan Bilen
Andrea Vedaldi
SSL
33
252
0
20 Jun 2018
Learning to Generate Facial Depth Maps
Learning to Generate Facial Depth Maps
S. Pini
Filippo Grazioli
Guido Borghi
R. Vezzani
Rita Cucchiara
CVBM
GAN
MDE
36
9
0
30 May 2018
Less is More: Surgical Phase Recognition with Less Annotations through
  Self-Supervised Pre-training of CNN-LSTM Networks
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
40
71
0
22 May 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
212
292
0
01 May 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure
Regularizing Deep Networks by Modeling and Predicting Label Structure
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
NoLa
24
32
0
05 Apr 2018
Interactive Deep Colorization With Simultaneous Global and Local Inputs
Interactive Deep Colorization With Simultaneous Global and Local Inputs
Yi Xiao
P. Zhou
Yan Zheng
HAI
21
48
0
27 Jan 2018
Self-Supervised Relative Depth Learning for Urban Scene Understanding
Self-Supervised Relative Depth Learning for Urban Scene Understanding
Huaizu Jiang
Erik Learned-Miller
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
OOD
SSL
26
9
0
13 Dec 2017
Deep Koalarization: Image Colorization using CNNs and
  Inception-ResNet-v2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
Federico Baldassarre
Diego Gonzalez Morin
Lucas Rodés-Guirao
26
104
0
09 Dec 2017
InverseNet: Solving Inverse Problems with Splitting Networks
InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan
Qinglai Wei
Wenlin Wang
Amit Chakraborty
Katherine A. Heller
27
8
0
01 Dec 2017
Transitive Invariance for Self-supervised Visual Representation Learning
Transitive Invariance for Self-supervised Visual Representation Learning
Xinyu Wang
Kaiming He
Abhinav Gupta
OOD
SSL
19
179
0
09 Aug 2017
Unsupervised Representation Learning by Sorting Sequences
Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee
Jia-Bin Huang
Maneesh Kumar Singh
Ming-Hsuan Yang
SSL
DRL
17
533
0
03 Aug 2017
Deep Feature Consistent Deep Image Transformations: Downscaling,
  Decolorization and HDR Tone Mapping
Deep Feature Consistent Deep Image Transformations: Downscaling, Decolorization and HDR Tone Mapping
Xianxu Hou
Jiang Duan
Guoping Qiu
27
28
0
29 Jul 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
62
493
0
11 Mar 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
29
120
0
21 Feb 2017
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSL
VOS
OCL
36
522
0
19 Dec 2016
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
21
70
0
10 Dec 2016
Learning Diverse Image Colorization
Learning Diverse Image Colorization
Aditya Deshpande
Jiajun Lu
Mao-Chuang Yeh
Min Jin Chong
David A. Forsyth
GAN
16
192
0
06 Dec 2016
On-Demand Learning for Deep Image Restoration
On-Demand Learning for Deep Image Restoration
Ruohan Gao
Kristen Grauman
27
78
0
05 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
28
665
0
29 Nov 2016
Awesome Typography: Statistics-Based Text Effects Transfer
Awesome Typography: Statistics-Based Text Effects Transfer
Shuai Yang
Jiaying Liu
Zheng Lian
Zongming Guo
12
75
0
28 Nov 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
41
670
0
30 Aug 2016
Infrared Colorization Using Deep Convolutional Neural Networks
Infrared Colorization Using Deep Convolutional Neural Networks
Matthias Limmer
Hendrik P. A. Lensch
18
141
0
08 Apr 2016
Previous
1234