15 citations · 32 across the 11 of their papers we have counts for
11 papers
Inherent Redundancy in Spiking Neural Networks
Man Yao, Jiakui Hu, Guangshe Zhao +4
Spiking Neural Networks (SNNs) are well known as a promising energy-efficient alternative to conventional artificial neural networks. Subject to the preconceived impression that SN…
Deep Directly-Trained Spiking Neural Networks for Object Detection
Qiaoyi Su, Yuhong Chou, Yifan Hu +4
Spiking neural networks (SNNs) are brain-inspired energy-efficient models that encode information in spatiotemporal dynamics. Recently, deep SNNs trained directly have shown great…
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
Dongsheng Wang, Xu Jia, Yang Zhang +5
Event-based cameras are bio-inspired sensors that capture brightness change of every pixel in an asynchronous manner. Compared with frame-based sensors, event cameras have microsec…
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels
Kangyu Weng, Aohua Cheng, Ziyang Zhang +2
In deep learning, neural networks serve as noisy channels between input data and its representation. This perspective naturally relates deep learning with the pursuit of constructi…
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…
Continuously Controllable Facial Expression Editing in Talking Face Videos
Zhiyao Sun, Yu-Hui Wen, Tian Lv +4
Recently audio-driven talking face video generation has attracted considerable attention. However, very few researches address the issue of emotional editing of these talking face…
Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow
Song Wu, Kaichao You, Weihua He +5
Video frame interpolation is a challenging task due to the ever-changing real-world scene. Previous methods often calculate the bi-directional optical flows and then predict the in…
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…
Brain-inspired Multilayer Perceptron with Spiking Neurons
Wenshuo Li, Hanting Chen, Jianyuan Guo +2
Recently, Multilayer Perceptron (MLP) becomes the hotspot in the field of computer vision tasks. Without inductive bias, MLPs perform well on feature extraction and achieve amazing…
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…