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Augmented Reality Meets Computer Vision : Efficient Data Generation for
  Urban Driving Scenes

Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes

4 August 2017
Hassan Abu Alhaija
Siva Karthik Mustikovela
L. Mescheder
Andreas Geiger
Carsten Rother
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes"

21 / 21 papers shown
Title
Learning from Synthetic Humans
Learning from Synthetic Humans
Gül Varol
Javier Romero
Xavier Martin
Naureen Mahmood
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
127
976
0
05 Jan 2017
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Marvin Teichmann
Michael Weber
Johann Marius Zöllner
R. Cipolla
R. Urtasun
SSeg
84
698
0
22 Dec 2016
Physically-Based Rendering for Indoor Scene Understanding Using
  Convolutional Neural Networks
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang
Shuran Song
Ersin Yumer
Manolis Savva
Joon-Young Lee
Hailin Jin
Thomas Funkhouser
AI4CESSL3DV3DPC
54
263
0
22 Dec 2016
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision
Yi Zhang
Weichao Qiu
Qi Chen
Xiaolin Hu
Alan Yuille
43
42
0
14 Dec 2016
Procedural Generation of Videos to Train Deep Action Recognition
  Networks
Procedural Generation of Videos to Train Deep Action Recognition Networks
César Roberto de Souza
Adrien Gaidon
Yohann Cabon
A. Peña
67
144
0
02 Dec 2016
Target-driven Visual Navigation in Indoor Scenes using Deep
  Reinforcement Learning
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
VGen
71
1,527
0
16 Sep 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
124
2,012
0
07 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark Schmidt
80
108
0
05 Aug 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon
Qiao Wang
Yohann Cabon
E. Vig
77
1,073
0
20 May 2016
Synthetic Data for Text Localisation in Natural Images
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
153
1,430
0
22 Apr 2016
Synthesizing Training Images for Boosting Human 3D Pose Estimation
Synthesizing Training Images for Boosting Human 3D Pose Estimation
Wenzheng Chen
Huan Wang
Yangyan Li
Hao Su
Zhenhua Wang
Changhe Tu
Dani Lischinski
Daniel Cohen-Or
Baoquan Chen
3DH
112
292
0
10 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,644
0
06 Apr 2016
How useful is photo-realistic rendering for visual learning?
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH3DV
69
150
0
26 Mar 2016
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
178
1,229
0
14 Dec 2015
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa
Viorica Patraucean
Vijay Badrinarayanan
Simon Stent
R. Cipolla
3DPC3DV
88
233
0
22 Nov 2015
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Jun Xie
Martin Kiefel
Ming-Ting Sun
Andreas Geiger
ISeg
96
169
0
10 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
528
62,377
0
04 Jun 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
99
737
0
21 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
316
4,180
0
26 Apr 2015
On Rendering Synthetic Images for Training an Object Detector
On Rendering Synthetic Images for Training an Object Detector
Artem Rozantsev
Vincent Lepetit
Pascal Fua
48
125
0
28 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
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