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Neural Turtle Graphics for Modeling City Road Layouts

Neural Turtle Graphics for Modeling City Road Layouts

4 October 2019
Aran Mohammad
Daiqing Li
David Acuna
Amlan Kar
Maria Shugrina
Xinkai Wei
Ming-Yuan Liu
Antonio Torralba
Sanja Fidler
ArXivPDFHTML

Papers citing "Neural Turtle Graphics for Modeling City Road Layouts"

25 / 25 papers shown
Title
Hierarchical Recurrent Attention Networks for Structured Online Maps
Hierarchical Recurrent Attention Networks for Structured Online Maps
N. Homayounfar
Wei-Chiu Ma
S. K. Lakshmikanth
R. Urtasun
3DPC
58
67
0
22 Dec 2020
DARNet: Deep Active Ray Network for Building Segmentation
DARNet: Deep Active Ray Network for Building Segmentation
Dominic Cheng
Renjie Liao
Sanja Fidler
R. Urtasun
3DV
123
109
0
15 May 2019
Devil is in the Edges: Learning Semantic Boundaries from Noisy
  Annotations
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
David Acuna
Amlan Kar
Sanja Fidler
105
144
0
16 Apr 2019
Fast Interactive Object Annotation with Curve-GCN
Fast Interactive Object Annotation with Curve-GCN
Huan Ling
Jun Gao
Amlan Kar
Wenzheng Chen
Sanja Fidler
129
252
0
16 Mar 2019
Topological Map Extraction from Overhead Images
Topological Map Extraction from Overhead Images
Zuoyue Li
Jan Dirk Wegner
Aurelien Lucchi
71
158
0
04 Dec 2018
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
Ilke Demir
Krzysztof Koperski
David Lindenbaum
Guan Pang
Jing Huang
Saikat Basu
Forest Hughes
D. Tuia
Ramesh Raskar
54
837
0
17 May 2018
Efficient Interactive Annotation of Segmentation Datasets with
  Polygon-RNN++
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
David Acuna
Huan Ling
Amlan Kar
Sanja Fidler
96
403
0
26 Mar 2018
Learning deep structured active contours end-to-end
Learning deep structured active contours end-to-end
Diego Marcos
D. Tuia
B. Kellenberger
Lisa Zhang
Min Bai
Renjie Liao
R. Urtasun
52
157
0
16 Mar 2018
Learning Deep Generative Models of Graphs
Learning Deep Generative Models of Graphs
Yujia Li
Oriol Vinyals
Chris Dyer
Razvan Pascanu
Peter W. Battaglia
GNN
AI4CE
186
661
0
08 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
163
361
0
02 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You
Rex Ying
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
BDL
108
848
0
24 Feb 2018
RoadTracer: Automatic Extraction of Road Networks from Aerial Images
RoadTracer: Automatic Extraction of Road Networks from Aerial Images
Favyen Bastani
Songtao He
Sofiane Abbar
Mohammad Alizadeh
H. Balakrishnan
Sanjay Chawla
Samuel Madden
D. DeWitt
61
298
0
11 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNN
BDL
103
849
0
09 Feb 2018
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
119
7,351
0
27 Oct 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CE
FAtt
144
1,327
0
20 Jul 2017
Annotating Object Instances with a Polygon-RNN
Annotating Object Instances with a Polygon-RNN
Lluis Castrejon
Kaustav Kundu
R. Urtasun
Sanja Fidler
SSeg
106
360
0
18 Apr 2017
A Neural Representation of Sketch Drawings
A Neural Representation of Sketch Drawings
David R Ha
Douglas Eck
90
867
0
11 Apr 2017
TorontoCity: Seeing the World with a Million Eyes
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang
Min Bai
Gellért Máttyus
Hang Chu
Wenjie Luo
Binh Yang
Justin Liang
Joel Cheverie
Sanja Fidler
R. Urtasun
3DV
ViT
60
178
0
01 Dec 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,863
0
03 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
723
37,843
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
872
27,350
0
02 Dec 2015
Computational Network Design from Functional Specifications
Computational Network Design from Functional Specifications
Chi-Han Peng
Yong-Liang Yang
Fan Bao
Dong‐Ming Yan
Peter Wonka
40
46
0
30 Oct 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
572
12,702
0
11 Dec 2014
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