no code implementations • 22 Nov 2022 • Xiaoshan Wu, Weihua He, Man Yao, Ziyang Zhang, Yaoyuan Wang, Guoqi Li
Spiking neural network is a novel event-based computational paradigm that is considered to be well suited for processing event camera tasks.
no code implementations • 19 Aug 2022 • Song Wu, Kaichao You, Weihua He, Chen Yang, Yang Tian, Yaoyuan Wang, Ziyang Zhang, Jianxing Liao
In this paper, we propose an end-to-end training method A^2OF for video frame interpolation with event-driven Anisotropic Adjustment of Optical Flows.
no code implementations • CVPR 2022 • Weihua He, Kaichao You, Zhendong Qiao, Xu Jia, Ziyang Zhang, Wenhui Wang, Huchuan Lu, Yaoyuan Wang, Jianxing Liao
Since event camera is a novel sensor, its potential has not been fulfilled due to the lack of processing algorithms.
1 code implementation • 2 May 2020 • Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie
Neuromorphic data, recording frameless spike events, have attracted considerable attention for the spatiotemporal information components and the event-driven processing fashion.
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