88 citations · 212 across the 19 of their papers we have counts for
5 papers
Uncertainty Guided Depth Fusion for Spike Camera
Jianing Li, Jiaming Liu, Xiaobao Wei +6
Depth estimation is essential for various important real-world applications such as autonomous driving. However, it suffers from severe performance degradation in high-velocity sce…
Temporal Up-Sampling for Asynchronous Events
Xijie Xiang, Lin Zhu, Jianing Li +2
The event camera is a novel bio-inspired vision sensor. When the brightness change exceeds the preset threshold, the sensor generates events asynchronously. The number of valid eve…
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
Lin Zhu, Xiao Wang, Yi Chang +3
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that reports asynchronous, continuously per-pixel brightness changes called `events' with high temporal resolution…
Joint Network based Attention for Action Recognition
Yemin Shi, Yonghong Tian, Yaowei Wang +1
By extracting spatial and temporal characteristics in one network, the two-stream ConvNets can achieve the state-of-the-art performance in action recognition. However, such a frame…
Learning long-term dependencies for action recognition with a biologically-inspired deep network
Yemin Shi, Yonghong Tian, Yaowei Wang +1
Despite a lot of research efforts devoted in recent years, how to efficiently learn long-term dependencies from sequences still remains a pretty challenging task. As one of the key…