2 citations · 3 across the 5 of their papers we have counts for
5 papers
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network
Xiaoshan Wu, Weihua He, Man Yao +3
Event cameras are considered to have great potential for computer vision and robotics applications because of their high temporal resolution and low power consumption characteristi…
A unified theory of information transfer and causal relation
Yang Tian, Hedong Hou, Yaoyuan Wang +2
Information transfer between coupled stochastic dynamics, measured by transfer entropy and information flow, is suggested as a physical process underlying the causal relation of sy…
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
Weihua He, Kaichao You, Zhendong Qiao +6
Recording fast motion in a high FPS (frame-per-second) requires expensive high-speed cameras. As an alternative, interpolating low-FPS videos from commodity cameras has attracted s…
Fourier-domain transfer entropy spectrum
Yang Tian, Yaoyuan Wang, Ziyang Zhang +1
We propose the Fourier-domain transfer entropy spectrum, a novel generalization of transfer entropy, as a model-free metric of causality. For arbitrary systems, this approach syste…
Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks
Yaoyuan Wang, Shuang Wu, Ziyang Zhang +2
Memristor based neural networks have great potentials in on-chip neuromorphic computing systems due to the fast computation and low-energy consumption. However, the imprecise prope…