Unsupervised Learning of a Hierarchical Spiking Neural Network for
Optical Flow Estimation: From Events to Global Motion Perception

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Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception

28 July 2018

Federico Paredes-Valles

Kirk Y. W. Scheper

Guido C. H. E de Croon

ArXiv (abs)PDF HTML Github (129★)

Papers citing "Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception"

18 / 18 papers shown

Title
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey Haoyang Wang Ruishan Guo Pengtao Ma Ciyu Ruan Xinyu Luo Wenhua Ding Tianyang Zhong Jingao Xu Yunhao Liu Xinlei Chen 89 0 0 29 Mar 2025
ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation Hongze Sun Jun Wang Wuque Cai Duo Chen Qianqian Liao Jiayi He Yan Cui D. Yao Daqing Guo 157 0 0 13 Mar 2025
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data Chengxi Ye A. Mitrokhin Cornelia Fermuller J. Yorke Yiannis Aloimonos MDE 49 37 0 23 Sep 2018
SLAYER: Spike Layer Error Reassignment in Time S. Shrestha Garrick Orchard 62 752 0 05 Sep 2018
ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors Min Liu T. Delbruck 44 13 0 10 May 2018
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Guillermo Gallego Henri Rebecq Davide Scaramuzza 69 332 0 04 Apr 2018
Event-based Moving Object Detection and Tracking A. Mitrokhin Cornelia Fermuller Chethan Parameshwara Yiannis Aloimonos 34 313 0 12 Mar 2018
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras A. Z. Zhu Liangzhe Yuan Kenneth Chaney Kostas Daniilidis 66 442 0 19 Feb 2018
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System G. Haessig A. Cassidy Rodrigo Alvarez R. Benosman Garrick Orchard 56 79 0 26 Oct 2017
Efficient Computation in Adaptive Artificial Spiking Neural Networks Davide Zambrano Roeland Nusselder H. Scholte S. Bohté 45 22 0 13 Oct 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi 64 1,027 0 08 Jun 2017
Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow Bas J. Pijnacker Hordijk Kirk Y. W. Scheper Guido de Croon 39 58 0 31 Jan 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 259 3,082 0 06 Dec 2016
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM Elias Mueggler Henri Rebecq Guillermo Gallego T. Delbruck Davide Scaramuzza VGen 97 599 0 26 Oct 2016
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 92 947 0 31 Aug 2016
Local Histogram Matching for Efficient Optical Flow Computation Applied to Velocity Estimation on Pocket Drones K. McGuire Guido C. H. E de Croon Christophe De Wagter Bart Remes K. Tuyls H. Kappen 34 22 0 24 Mar 2016
Bioinspired Visual Motion Estimation Garrick Orchard R. Etienne-Cummings 36 41 0 31 Oct 2015
Optical-Flow based Self-Supervised Learning of Obstacle Appearance applied to MAV Landing H. W. Ho Christophe De Wagter B. Remes Guido de Croon SSL 42 34 0 04 Sep 2015