Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification

1 code implementation • 23 Aug 2023 • Chengguo Yuan, Yu Jin, Zongzhen Wu, Fanting Wei, Yangzirui Wang, Lan Chen, Xiao Wang

Additionally, a bottleneck Transformer is introduced to facilitate the fusion of the dual-stream information.

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition

1 code implementation • 8 Aug 2023 • Xiao Wang, Zongzhen Wu, Yao Rong, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian

Secondly, they adopt either Spiking Neural Networks (SNN) for energy-efficient recognition with suboptimal results, or Artificial Neural Networks (ANN) for energy-intensive, high-performance recognition.

HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

2 code implementations • 17 Nov 2022 • Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, YaoWei Wang, Yonghong Tian

The main streams of human activity recognition (HAR) algorithms are developed based on RGB cameras which are suffered from illumination, fast motion, privacy-preserving, and large energy consumption.

Activity Prediction Human Activity Recognition +1