7 citations · 10 across the 4 of their papers we have counts for
4 papers
MA^2: A Self-Supervised and Motion Augmenting Autoencoder for Gait-Based Automatic Disease Detection
Yiqun Liu, Ke Zhang, Yin Zhu
Ground reaction force (GRF) is the force exerted by the ground on a body in contact with it. GRF-based automatic disease detection (ADD) has become an emerging medical diagnosis me…
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Yiqun Liu, Yi Zeng, Jian Pu +3
Gait recognition plays a vital role in human identification since gait is a unique biometric feature that can be perceived at a distance. Although existing gait recognition methods…
STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation
Yiqun Liu, Shouzhen Chen, Lei Chen +4
Numerical Weather Prediction (NWP) can reduce human suffering by predicting disastrous precipitation in time. A commonly-used NWP in the world is the European Centre for medium-ran…
Towards a Precipitation Bias Corrector against Noise and Maldistribution
Xiaoyang Xu, Yiqun Liu, Hanqing Chao +5
With broad applications in various public services like aviation management and urban disaster warning, numerical precipitation prediction plays a crucial role in weather forecast.…