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Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Localization and Mapping (SLAM).
A practical guide to global illumination using photon mapping
Henrik Wann Jensen, Per H Christensen, Toshiaki Kato, and Frank Suykens · 2002
Earlier work this paper cites.
Ray tracing on programmable graphics hardware
Timothy J Purcell, Ian Buck, William R Mark, and Pat Hanrahan · 2002
Earlier work this paper cites.
A 128x128 120 db 15us latency asynchronous temporal contrast vision sensor
Patrick Lichtsteiner, Christoph Posch, and Tobi Delbruck · 2008
Earlier work this paper cites.
Are we ready for autonomous driving? the KITTI vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
Indoor segmentation and support inference from RGBD images
Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus · 2012
Earlier work this paper cites.
A benchmark for the evaluation of RGB-D SLAM systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
Earlier work this paper cites.
Statistical analysis-based error models for the Microsoft Kinect TM depth sensor
Benjamin Choo, Michael Landau, Michael DeVore, and Peter A Beling · 2014
Earlier work this paper cites.
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
A. Handa, T. Whelan, J.B. McDonald, and A.J. Davison · 2014
Earlier work this paper cites.
On being the right scale: Sizing large collections of 3D models
Manolis Savva, Angel X. Chang, Gilbert Bernstein, Christopher D. Manning, and Pat Hanrahan · 2014
Earlier work this paper cites.
Embree: a kernel framework for efficient CPU ray tracing
Ingo Wald, Sven Woop, Carsten Benthin, Gregory S Johnson, and Manfred Ernst · 2014
Cited alongside, same era.
Shapenet: An information-rich 3D model repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Cited alongside, same era.
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O’Boyle, Graham Riley, Nigel Topham, and Steve Furber · 2015
Cited alongside, same era.
Semantically-enriched 3D models for common-sense knowledge
Manolis Savva, Angel X. Chang, and Pat Hanrahan · 2015
Cited alongside, same era.
ElasticFusion: Dense SLAM without a pose graph
Thomas Whelan, Stefan Leutenegger, Renato F Salas-Moreno, Ben Glocker, and Andrew J Davison · 2015
Cited alongside, same era.
UnrealCV: Connecting computer vision to Unreal Engine
Weichao Qiu and Alan Yuille · 2016
Later among the works it cites.
Unrealstereo: A synthetic dataset for analyzing stereo vision
Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, and Alan Yuille · 2016
Later among the works it cites.
A dataset for developing and benchmarking active vision
P. Ammirato, P. Poirson, E. Park, J. Kos̆ecká, and A. C. Berg · 2017
Later among the works it cites.
ScanNet: Richly-annotated 3D reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Later among the works it cites.
ORB-SLAM2: An open-source SLAM system for monocular, stereo, and RGB-D cameras
R. Mur-Artal and J. D. Tardós · 2017
Later among the works it cites.
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The EuRoC micro aerial vehicle datasets
Michael Burri, Janosch Nikolic, Pascal Gohl, Thomas Schneider, Joern Rehder, Sammy Omari, Markus W Achtelik, and Roland Siegwart · 2016
Cited alongside, same era.
SceneNet: An annotated model generator for indoor scene understanding
A. Handa, V. Patraucean, S. Stent, and R. Cipolla · 2016
Cited alongside, same era.
Wavenet: A generative model for raw audio
Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu · 2016
Cited alongside, same era.
Physically based rendering: From theory to implementation
Matt Pharr, Wenzel Jakob, and Greg Humphreys · 2016
Cited alongside, same era.
https://projectchrono.org/
Project Chrono
Cited in the paper.
https://docs.leggedrobotics.com/kindr/cheatsheet_latest.pdf
Kindr Library
Cited in the paper.
https://planner5d.com/
Planner 5D
Cited in the paper.
Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
Later among the works it cites.
Physically-based rendering for indoor scene understanding using convolutional neural networks
Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, and Thomas Funkhouser · 2017
Later among the works it cites.
SLAMBench2: Multi-objective head-to-head benchmarking for visual SLAM
Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John H Mayer, Andy Nisbet, Mikel Lujan, Steve Furber, Andrew J Davison, Paul H.J. Kelly, and Michael O’Boyle · 2018
Closest in time.
Human-centric indoor scene synthesis using stochastic grammar
Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, and Song-Chun Zhu · 2018
Closest in time.