11 citations · 27 across the 3 of their papers we have counts for
5 papers
A Spike Learning System for Event-driven Object Recognition
Shibo Zhou, Wei Wang, Xiaohua Li +1
Event-driven sensors such as LiDAR and dynamic vision sensor (DVS) have found increased attention in high-resolution and high-speed applications. A lot of work has been conducted t…
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
Zijie Wang, Lixi Zhou, Amitabh Das +3
Data is the king in the age of AI. However data integration is often a laborious task that is hard to automate. Schema change is one significant obstacle to the automation of the e…
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning
Di Wu, Huayan Wan, Siping Liu +3
The "mind-controlling" capability has always been in mankind's fantasy. With the recent advancements of electroencephalograph (EEG) techniques, brain-computer interface (BCI) resea…
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving
Wei Wang, Shibo Zhou, Jingxi Li +3
Accurate real-time object recognition from sensory data has long been a crucial and challenging task for autonomous driving. Even though deep neural networks (DNNs) have been succe…
Insights from BB-MAS -- A Large Dataset for Typing, Gait and Swipes of the Same Person on Desktop, Tablet and Phone
Amith K. Belman, Li Wang, S. S. Iyengar +6
Behavioral biometrics are key components in the landscape of research in continuous and active user authentication. However, there is a lack of large datasets with multiple activit…