3 papers
cs.CV2026
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…
cs.LG2026
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…
cs.CV2026
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…