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Playing for Data: Ground Truth from Computer Games

Playing for Data: Ground Truth from Computer Games

7 August 2016
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
    VLM
ArXivPDFHTML

Papers citing "Playing for Data: Ground Truth from Computer Games"

50 / 437 papers shown
Title
Does computer vision matter for action?
Does computer vision matter for action?
Brady Zhou
Philipp Krahenbuhl
V. Koltun
LM&Ro
18
107
0
30 May 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Safa Cicek
Stefano Soatto
OOD
42
118
0
26 May 2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization
Deep Drone Racing: From Simulation to Reality with Domain Randomization
Antonio Loquercio
Elia Kaufmann
René Ranftl
Alexey Dosovitskiy
V. Koltun
Davide Scaramuzza
36
209
0
21 May 2019
Meta-Sim: Learning to Generate Synthetic Datasets
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar
Aayush Prakash
Ming Liu
Eric Cameracci
Justin Yuan
Matt Rusiniak
David Acuna
Antonio Torralba
Sanja Fidler
22
248
0
25 Apr 2019
Weakly Supervised Adversarial Domain Adaptation for Semantic
  Segmentation in Urban Scenes
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
Qi. Wang
Junyu Gao
Xuelong Li
31
192
0
19 Apr 2019
Synthetic Examples Improve Generalization for Rare Classes
Synthetic Examples Improve Generalization for Rare Classes
Sara Beery
Yang Liu
Dan Morris
Jim Piavis
Ashish Kapoor
M. Meister
Neel Joshi
Pietro Perona
26
95
0
11 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
47
538
0
10 Mar 2019
An Annotation Saved is an Annotation Earned: Using Fully Synthetic
  Training for Object Instance Detection
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection
Stefan Hinterstoißer
Olivier Pauly
Tim Hauke Heibel
Martina Marek
M. Bokeloh
24
40
0
26 Feb 2019
Privacy-Preserving Action Recognition using Coded Aperture Videos
Privacy-Preserving Action Recognition using Coded Aperture Videos
Zihao W. Wang
Vibhav Vineet
Francesco Pittaluga
Sudipta N. Sinha
O. Cossairt
S. B. Kang
PICV
27
69
0
25 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
46
989
0
21 Feb 2019
Virtual Training for a Real Application: Accurate Object-Robot Relative
  Localization without Calibration
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
Vianney Loing
Renaud Marlet
Mathieu Aubry
29
23
0
07 Feb 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain
  Adaptation
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation
Hugo Oliveira
E. Ferreira
J. A. dos Santos
MedIm
21
14
0
16 Jan 2019
Domain Adaptation for Structured Output via Discriminative Patch
  Representations
Domain Adaptation for Structured Output via Discriminative Patch Representations
Yi-Hsuan Tsai
Kihyuk Sohn
S. Schulter
Manmohan Chandraker
OOD
38
319
0
16 Jan 2019
A Parametric Top-View Representation of Complex Road Scenes
A Parametric Top-View Representation of Complex Road Scenes
Ziyan Wang
Buyu Liu
S. Schulter
Manmohan Chandraker
AI4TS
24
44
0
14 Dec 2018
Spatial Fusion GAN for Image Synthesis
Spatial Fusion GAN for Image Synthesis
Fangneng Zhan
Erik Cambria
Shijian Lu
29
149
0
14 Dec 2018
DLOW: Domain Flow for Adaptation and Generalization
DLOW: Domain Flow for Adaptation and Generalization
R. Gong
Wen Li
Yuhua Chen
Luc Van Gool
OOD
AI4CE
42
350
0
13 Dec 2018
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Kohei Watanabe
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
MDE
24
11
0
11 Dec 2018
Learning to Drive from Simulation without Real World Labels
Learning to Drive from Simulation without Real World Labels
Alex Bewley
J. Rigley
Yuxuan Liu
Jeffrey Hawke
Richard Shen
Vinh-Dieu Lam
Alex Kendall
OffRL
25
107
0
10 Dec 2018
Multiview Cross-supervision for Semantic Segmentation
Multiview Cross-supervision for Semantic Segmentation
Yuan Yao
H. Park
19
3
0
04 Dec 2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
40
1,281
0
30 Nov 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Ke Li
Tianhao Zhang
Jitendra Malik
DiffM
173
85
0
29 Nov 2018
Joint Monocular 3D Vehicle Detection and Tracking
Joint Monocular 3D Vehicle Detection and Tracking
Hou-Ning Hu
Qi-Zhi Cai
Dequan Wang
Ji Lin
Min Sun
Philipp Krahenbuhl
Trevor Darrell
Feng Yu
3DPC
30
210
0
26 Nov 2018
Automated Evaluation of Semantic Segmentation Robustness for Autonomous
  Driving
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving
W. Zhou
J. S. Berrio
Stewart Worrall
E. Nebot
27
71
0
24 Oct 2018
Structured Domain Randomization: Bridging the Reality Gap by
  Context-Aware Synthetic Data
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data
Aayush Prakash
Shaad Boochoon
M. Brophy
David Acuna
Eric Cameracci
Gavriel State
Omer Shapira
Stan Birchfield
16
264
0
23 Oct 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
42
108
0
23 Oct 2018
Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing
Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing
Magnus Wrenninge
Jonas Unger
23
185
0
19 Oct 2018
Playing for Depth
Playing for Depth
M. M. Haji-Esmaeili
G. Montazer
32
2
0
15 Oct 2018
MeshAdv: Adversarial Meshes for Visual Recognition
MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao
Dawei Yang
Bo Li
Jia Deng
M. Liu
AAML
32
25
0
11 Oct 2018
SPIGAN: Privileged Adversarial Learning from Simulation
SPIGAN: Privileged Adversarial Learning from Simulation
Kuan-Hui Lee
G. Ros
Jie Li
Adrien Gaidon
GAN
33
104
0
09 Oct 2018
Learning To Simulate
Learning To Simulate
Nataniel Ruiz
S. Schulter
Manmohan Chandraker
30
119
0
05 Oct 2018
A Robot Localization Framework Using CNNs for Object Detection and Pose
  Estimation
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation
Lukas Hoyer
Christoph Steup
Sanaz Mostaghim
18
5
0
03 Oct 2018
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections
Keunhong Park
Konstantinos Rematas
Ali Farhadi
S. M. Seitz
3DV
3DH
16
34
0
26 Sep 2018
Scenic: A Language for Scenario Specification and Scene Generation
Scenic: A Language for Scenario Specification and Scene Generation
Daniel J. Fremont
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
42
248
0
25 Sep 2018
SqueezeSegV2: Improved Model Structure and Unsupervised Domain
  Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Bichen Wu
Xuanyu Zhou
Sicheng Zhao
Xiangyu Yue
Kurt Keutzer
3DPC
15
617
0
22 Sep 2018
A Domain Agnostic Normalization Layer for Unsupervised Adversarial
  Domain Adaptation
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation
Rob Romijnders
Panagiotis Meletis
Gijs Dubbelman
AI4CE
21
27
0
14 Sep 2018
On Offline Evaluation of Vision-based Driving Models
On Offline Evaluation of Vision-based Driving Models
Felipe Codevilla
Antonio M. López
V. Koltun
Alexey Dosovitskiy
OffRL
20
102
0
13 Sep 2018
CGIntrinsics: Better Intrinsic Image Decomposition through
  Physically-Based Rendering
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering
Zhengqi Li
Noah Snavely
29
164
0
26 Aug 2018
Learning Linear Transformations for Fast Arbitrary Style Transfer
Learning Linear Transformations for Fast Arbitrary Style Transfer
Xueting Li
Sifei Liu
Jan Kautz
Ming-Hsuan Yang
19
109
0
14 Aug 2018
Unlimited Road-scene Synthetic Annotation (URSA) Dataset
Unlimited Road-scene Synthetic Annotation (URSA) Dataset
Matt Angus
Mohamed ElBalkini
S. Khan
Ali Harakeh
Oles Andrienko
Cody Reading
Steven Waslander
Krzysztof Czarnecki
OffRL
21
19
0
16 Jul 2018
Sem-GAN: Semantically-Consistent Image-to-Image Translation
Sem-GAN: Semantically-Consistent Image-to-Image Translation
A. Cherian
Alan Sullivan
21
76
0
12 Jul 2018
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Xingchao Peng
Ben Usman
Kuniaki Saito
Neela Kaushik
Judy Hoffman
Kate Saenko
18
75
0
26 Jun 2018
Learning Single-Image Depth from Videos using Quality Assessment
  Networks
Learning Single-Image Depth from Videos using Quality Assessment Networks
Weifeng Chen
Shengyi Qian
Jia Deng
30
67
0
25 Jun 2018
VirtualHome: Simulating Household Activities via Programs
VirtualHome: Simulating Household Activities via Programs
Xavier Puig
K. Ra
Marko Boben
Jiaman Li
Tingwu Wang
Sanja Fidler
Antonio Torralba
LM&Ro
30
478
0
19 Jun 2018
Conditional Affordance Learning for Driving in Urban Environments
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer
Nikolay Savinov
Andreas Geiger
18
186
0
18 Jun 2018
Show, Attend and Translate: Unsupervised Image Translation with
  Self-Regularization and Attention
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention
Chao Yang
Taehwan Kim
Ruizhe Wang
Hao Peng
C.-C. Jay Kuo
28
51
0
16 Jun 2018
Auxiliary Tasks in Multi-task Learning
Auxiliary Tasks in Multi-task Learning
Lukas Liebel
Marco Körner
SSL
19
246
0
16 May 2018
On the iterative refinement of densely connected representation levels
  for semantic segmentation
On the iterative refinement of densely connected representation levels for semantic segmentation
Arantxa Casanova
Guillem Cucurull
M. Drozdzal
Adriana Romero
Yoshua Bengio
SSeg
31
24
0
30 Apr 2018
Semi-parametric Image Synthesis
Semi-parametric Image Synthesis
Xiaojuan Qi
Qifeng Chen
Jiaya Jia
V. Koltun
19
169
0
29 Apr 2018
Driving Policy Transfer via Modularity and Abstraction
Driving Policy Transfer via Modularity and Abstraction
Matthias Muller
Alexey Dosovitskiy
Guohao Li
V. Koltun
37
224
0
25 Apr 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by
  Domain Randomization
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
Aayush Prakash
David Acuna
M. Brophy
Varun Jampani
Cem Anil
Thang To
Eric Cameracci
Shaad Boochoon
Stan Birchfield
OOD
29
808
0
18 Apr 2018
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