3 citations · 3 across the 1 of their papers we have counts for
4 papers
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu +3
Event-based cameras display great potential for a variety of tasks such as high-speed motion detection and navigation in low-light environments where conventional frame-based camer…
Minibatch Processing in Spiking Neural Networks
Daniel J. Saunders, Cooper Sigrist, Kenneth Chaney +2
Spiking neural networks (SNNs) are a promising candidate for biologically-inspired and energy efficient computation. However, their simulation is notoriously time consuming, and ma…
Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney +1
In this work, we propose a novel framework for unsupervised learning for event cameras that learns motion information from only the event stream. In particular, we propose an input…
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney +1
Event-based cameras have shown great promise in a variety of situations where frame based cameras suffer, such as high speed motions and high dynamic range scenes. However, develop…