Neuromorphic Optical Flow and Real-time Implementation with Event Cameras-Reference-Cited by-同舟云学术

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Neuromorphic Optical Flow and Real-time Implementation with Event Cameras

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Schnider Yannick¹,Woźniak Stanisław¹,Gehrig Mathias²,Lecomte Jules³,von Arnim Axel³,Benini Luca⁴,Scaramuzza Davide²,Pantazi Angeliki¹

Affiliation:

1. IBM Research – Zurich

2. University of Zurich

3. Fortiss GmbH

4. ETH Zurich

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208797.pdf?arnumber=10208797

Reference34 articles.

1. FlowNet: Learning Optical Flow with Convolutional Networks

2. Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs

3. Live Demonstration: Unsupervised Event-Based Learning of Optical Flow, Depth and Egomotion

4. Event-Based Vision: A Survey

5. Object Tracking in Satellite Videos Based on a Multiframe Optical Flow Tracker

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic event-based optical identification and communication;Frontiers in Neurorobotics;2024-02-12

2. Event Cameras in Automotive Sensing: A Review;IEEE Access;2024

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