3 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
CodecMotion-OAD: Efficient Online Action Detection with Compressed-Domain Motion
Zepeng Sun, Naichuan Zheng, Hailun Xia +1
Online action detection (OAD) identifies ongoing actions in streaming videos. Many existing OAD systems combine RGB appearance with optical flow, but dense-flow extraction remains…
LiquidTAD: Efficient Temporal Action Detection via Parallel Liquid-Inspired Temporal Relaxation
Zepeng Sun, Naichuan Zheng, Hailun Xia +3
Temporal Action Detection (TAD) requires precise localization of action boundaries within long, untrimmed video sequences. While current high-performing methods achieve strong accu…
Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition
Naichuan Zheng, Hailun Xia, Zepeng Sun +2
Wearable IMU-based Human Activity Recognition (HAR) relies heavily on Deep Neural Networks (DNNs), which are burdened by immense computational and buffering demands. Their power-hu…
S3T-Former: A Purely Spike-Driven State-Space Topology Transformer for Skeleton Action Recognition
Naichuan Zheng, Hailun Xia, Zepeng Sun +2
Skeleton-based action recognition is crucial for multimedia applications but heavily relies on power-hungry Artificial Neural Networks (ANNs), limiting their deployment on resource…