Yu-Huan Yang — accepted AI-conference papers

2019

ResFlow: Multi-tasking of Sequentially Pooling Spatiotemporal Features for Action Recognition and Optical Flow Estimation

Tso-Hsin Yeh, Chuan Kuo, An-Sheng Liu, Yu-Hung Liu, Yu-Huan Yang, Zi-Jun Li +2

IROS 2019poster

Since deep-learning-based method has been widely-used and is capable of generating generic model, most existing methods about action recognition use either two-stream structure, considering spatial and temporal features separately, or C3D, costing lots of prices in memory and time. We aim to design…

Cited by 4 Source ↗Scholar ↗

2017

Partially transferred convolution neural network with cross-layer inheriting for posture recognition from top-view depth camera

An-Sheng Liu, Zi-Jun Li, Tso-Hsin Yeh, Yu-Huan Yang, Li-Chen Fu

IROS 2017poster

This paper proposes a new method for human posture recognition from top-view depth maps on small training datasets. There are two strategies developed to leverage the capability of convolution neural network (CNN) in mining the fundamental and generic features for recognition. First, the early layer…

Cited by 5 Source ↗Scholar ↗