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Virtual Worlds as Proxy for Multi-Object Tracking Analysis

Virtual Worlds as Proxy for Multi-Object Tracking Analysis

20 May 2016
Adrien Gaidon
Qiao Wang
Yohann Cabon
E. Vig
ArXivPDFHTML

Papers citing "Virtual Worlds as Proxy for Multi-Object Tracking Analysis"

32 / 232 papers shown
Title
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
Ysbrand Galama
Thomas Mensink
GAN
24
10
0
16 Apr 2018
Learning to Detect and Track Visible and Occluded Body Joints in a
  Virtual World
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
Matteo Fabbri
Fabio Lanzi
Simone Calderara
Andrea Palazzi
R. Vezzani
Rita Cucchiara
25
173
0
22 Mar 2018
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
Jiahao Pang
Wenxiu Sun
Chengxi Yang
Jimmy S. J. Ren
Ruichao Xiao
Jin Zeng
Liang Lin
24
56
0
18 Mar 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu
P. Uppala
Anuj Pahuja
R. Venkatesh Babu
MDE
26
185
0
05 Mar 2018
OIL: Observational Imitation Learning
OIL: Observational Imitation Learning
Ge Li
Matthias Muller
Vincent Casser
Neil G. Smith
D. L. Michels
Guohao Li
22
41
0
03 Mar 2018
Training Deep Face Recognition Systems with Synthetic Data
Training Deep Face Recognition Systems with Synthetic Data
Adam Kortylewski
Andreas C. Schneider
Thomas Gerig
Bernhard Egger
Andreas Morel-Forster
T. Vetter
42
48
0
16 Feb 2018
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Francis Engelmann
Theodora Kontogianni
Alexander Hermans
Bastian Leibe
3DPC
35
268
0
05 Feb 2018
AI2-THOR: An Interactive 3D Environment for Visual AI
AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve
Roozbeh Mottaghi
Winson Han
Eli VanderBilt
Luca Weihs
...
Daniel Gordon
Yuke Zhu
Aniruddha Kembhavi
Abhinav Gupta
Ali Farhadi
LM&Ro
11
1,080
0
14 Dec 2017
Empirically Analyzing the Effect of Dataset Biases on Deep Face
  Recognition Systems
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
Adam Kortylewski
Bernhard Egger
Andreas C. Schneider
Thomas Gerig
Andreas Morel-Forster
T. Vetter
CVBM
35
71
0
05 Dec 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
104
5,085
0
10 Nov 2017
Procedural Modeling and Physically Based Rendering for Synthetic Data
  Generation in Automotive Applications
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications
Apostolia Tsirikoglou
J. Kronander
Magnus Wrenninge
Jonas Unger
3DV
38
78
0
17 Oct 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
88
824
0
22 Aug 2017
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two
  Perspective Frames
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames
Suryansh Kumar
Yuchao Dai
Hongdong Li
3DV
3DH
19
68
0
15 Aug 2017
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi
Ishan Misra
M. Hebert
50
618
0
04 Aug 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
124
166
0
08 Jul 2017
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple
  Objects
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
Martin Rünz
Lourdes Agapito
VOT
40
209
0
20 Jun 2017
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and
  Image-to-Image Translation from Unpaired Supervision
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
H. Tung
Adam W. Harley
William Seto
Katerina Fragkiadaki
GAN
27
156
0
31 May 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
10
787
0
18 Apr 2017
Learning Rank Reduced Interpolation with Principal Component Analysis
Learning Rank Reduced Interpolation with Principal Component Analysis
M. Ochs
H. Bradler
Rudolf Mester
27
2
0
15 Mar 2017
PathTrack: Fast Trajectory Annotation with Path Supervision
PathTrack: Fast Trajectory Annotation with Path Supervision
Santiago Manén
Michael Gygli
Dengxin Dai
Luc Van Gool
VOT
42
75
0
07 Mar 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
32
505
0
17 Feb 2017
Learning from Synthetic Humans
Learning from Synthetic Humans
Gül Varol
Javier Romero
Xavier Martin
Naureen Mahmood
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
38
965
0
05 Jan 2017
From Virtual to Real World Visual Perception using Domain Adaptation --
  The DPM as Example
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Antonio M. López
Jiaolong Xu
J. L. Gómez
David Vazquez
G. Ros
22
11
0
29 Dec 2016
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
49
1,797
0
22 Dec 2016
Beyond standard benchmarks: Parameterizing performance evaluation in
  visual object tracking
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking
L. Č. Zajc
A. Lukežič
A. Leonardis
Matej Kristan
36
20
0
01 Dec 2016
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
44
562
0
24 Nov 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
30
1,513
0
16 Sep 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
75
2,871
0
13 Sep 2016
UnrealCV: Connecting Computer Vision to Unreal Engine
UnrealCV: Connecting Computer Vision to Unreal Engine
Weichao Qiu
Alan Yuille
VGen
32
0
0
05 Sep 2016
Back to Basics: Unsupervised Learning of Optical Flow via Brightness
  Constancy and Motion Smoothness
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Jason J. Yu
Adam W. Harley
Konstantinos G. Derpanis
26
407
0
20 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
36
109
0
05 Aug 2016
Multiple Object Tracking: A Literature Review
Multiple Object Tracking: A Literature Review
Wenhan Luo
Junliang Xing
Anton Milan
Xiaoqin Zhang
Wei Liu
Tae-Kyun Kim
VOT
29
797
0
26 Sep 2014
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