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As a bio-inspired sensor with high temporal resolution, the spiking camera has an enormous potential in real applications, especially for motion estimation in high-speed scenes.
Determining optical flow
Berthold KP Horn and Brian G Schunck · 1981
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
Daniel Scharstein and Richard Szeliski · 2002
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High accuracy optical flow estimation based on a theory for warping
Thomas Brox, Andrés Bruhn, Nils Papenberg, and Joachim Weickert · 2004
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An asynchronous time-based image sensor
P. Christoph, M. Daniel, and W. Rainer · 2008
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A 128 × 128 120 db 15
L. Patrick, P. Christoph, and D. Tobi · 2008
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Secrets of optical flow estimation and their principles
Deqing Sun, Stefan Roth, and Michael J Black · 2010
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Activity-driven, event-based vision sensors
D. Tobi and L. Bernabe · 2010
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A database and evaluation methodology for optical flow
Simon Baker, Daniel Scharstein, JP Lewis, Stefan Roth, Michael J Black, and Richard Szeliski · 2011
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Ford campus vision and lidar data set
Gaurav Pandey, James R McBride, and Ryan M Eustice · 2011
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A naturalistic open source movie for optical flow evaluation
Daniel J Butler, Jonas Wulff, Garrett B Stanley, and Michael J Black · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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A 240 × 180 130 db 3
B. Christian and B. Raphael · 2014
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Object scene flow for autonomous vehicles
Moritz Menze and Andreas Geiger · 2015
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Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness
J Yu Jason, Adam W Harley, and Konstantinos G Derpanis · 2016
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Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
Cited alongside, same era.
An efficient coding method for spike camera using inter-spike intervals
Siwei Dong, Lin Zhu, Yonghong Tian, and Tiejun Huang · 2017
Cited alongside, same era.
Live demonstration: A 768× 640 pixels 200meps dynamic vision sensor
Menghan Guo, Jing Huang, and Shoushun Chen · 2017
Cited alongside, same era.
Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
Cited alongside, same era.
Accurate optical flow via direct cost volume processing
Jia Xu, René Ranftl, and Vladlen Koltun · 2017
Cited alongside, same era.
The best of both worlds: Combining cnns and geometric constraints for hierarchical motion segmentation
A retina-inspired sampling method for visual texture reconstruction
Lin Zhu, Siwei Dong, Tiejun Huang, and Yonghong Tian · 2019
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Evaluating the limits of a lidar for an autonomous driving localization
Lucas de Paula Veronese, Fernando Auat-Cheein, Filipe Mutz, Thiago Oliveira-Santos, José E Guivant, Edilson de Aguiar, Claudine Badue, and Alberto Ferreira De Souza · 2020
Later among the works it cites.
Spike-flownet: event-based optical flow estimation with energy-efficient hybrid neural networks
Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, and Kaushik Roy · 2020
Later among the works it cites.
Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, and Feiyue Huang · 2020
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NVISII: Nvidia scene imaging interface, 2020
Morrical Nathan, Tremblay Jonathan, Birchfield Stan, and Wald Ingo · 2020
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P. Bideau, A. RoyChowdhury, R. R. Menon, and E. LearnedMiller · 2018
Cited alongside, same era.
Blender - a 3d modelling and rendering package, 2018
Community · 2018
Cited alongside, same era.
Unflow: Unsupervised learning of optical flow with a bidirectional census loss
Simon Meister, Junhwa Hur, and Stefan Roth · 2018
Cited alongside, same era.
Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
Cited alongside, same era.
The multivehicle stereo event camera dataset: An event camera dataset for 3d perception
Alex Zihao Zhu, Dinesh Thakur, Tolga Özaslan, Bernd Pfrommer, Vijay Kumar, and Kostas Daniilidis · 2018
Cited alongside, same era.
Ev-flownet: Self-supervised optical flow estimation for event-based cameras
Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, and Kostas Daniilidis · 2018
Cited alongside, same era.
Selflow: Self-supervised learning of optical flow
Pengpeng Liu, Michael Lyu, Irwin King, and Jia Xu · 2019
Cited alongside, same era.
Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
Later among the works it cites.
Deep video super-resolution using hr optical flow estimation
Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, and Wei An · 2020
Later among the works it cites.
High-speed motion scene reconstruction for spike camera via motion aligned filtering
Jing Zhao, Ruiqin Xiong, and Tiejun Huang · 2020
Later among the works it cites.
Retina-like visual image reconstruction via spiking neural model
Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, and Yonghong Tian · 2020
Later among the works it cites.
Spatio-temporal recurrent networks for event-based optical flow estimation
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, and Tiejun Huang · 2021
Closest in time.
Super resolve dynamic scene from continuous spike streams
Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, and Tiejun Huang · 2021
Closest in time.
Spk2imgnet: Learning to reconstruct dynamic scene from continuous spike stream
Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, and Tiejun Huang · 2021
Closest in time.
High-speed image reconstruction through short-term plasticity for spiking cameras
Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, and Tiejun Huang · 2021
Closest in time.
Neuspike-net: High speed video reconstruction via bio-inspired neuromorphic cameras
Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, and Yonghong Tian · 2021
Closest in time.