3 citations · 13 across the 10 of their papers we have counts for
11 papers
NavG: Risk-Aware Navigation in Crowded Environments Based on Reinforcement Learning with Guidance Points
Qianyi Zhang, Wentao Luo, Boyi Liu +3
Motion planning in navigation systems is highly susceptible to upstream perceptual errors, particularly in human detection and tracking. To mitigate this issue, the concept of guid…
GA-TEB: Goal-Adaptive Framework for Efficient Navigation Based on Goal Lines
Qianyi Zhang, Wentao Luo, Ziyang Zhang +2
In crowd navigation, the local goal plays a crucial role in trajectory initialization, optimization, and evaluation. Recognizing that when the global goal is distant, the robot's p…
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…
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…
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…
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…