1.2k citations · 2.1k across the 18 of their papers we have counts for
5 papers · 1 filter
Adversarial symmetric GANs: bridging adversarial samples and adversarial networks
Faqiang Liu, Mingkun Xu, Guoqi Li +3
Generative adversarial networks have achieved remarkable performance on various tasks but suffer from training instability. Despite many training strategies proposed to improve tra…
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking
Zheyu Yang, Yujie Wu, Guanrui Wang +5
Computer-science-oriented artificial neural networks (ANNs) have achieved tremendous success in a variety of scenarios via powerful feature extraction and high-precision data opera…
Convolution with even-sized kernels and symmetric padding
Shuang Wu, Guanrui Wang, Pei Tang +2
Compact convolutional neural networks gain efficiency mainly through depthwise convolutions, expanded channels and complex topologies, which contrarily aggravate the training proce…
Robust event-stream pattern tracking based on correlative filter
Hongmin Li, Luping Shi
Object tracking based on retina-inspired and event-based dynamic vision sensor (DVS) is challenging for the noise events, rapid change of event-stream shape, chaos of complex backg…
Super-resolution of spatiotemporal event-stream image captured by the asynchronous temporal contrast vision sensor
Hongmin Li, Guoqi Li, Hanchao Liu +1
Super-resolution (SR) is a useful technology to generate a high-resolution (HR) visual output from the low-resolution (LR) visual inputs overcoming the physical limitations of the…