Chin-Chin Chiang — accepted AI-conference papers

2017

Dynamic tracking attention model for action recognition

Chien-Yao Wang, Chin-Chin Chiang, Jian-Jiun Ding, Jia-Ching Wang

ICASSP 2017accepted

This paper proposes a dynamic tracking attention model (DTAM), which mainly comprises a motion attention mechanism, a convolutional neural network (CNN) and long short-term memory (LSTM), to recognize human action in a video sequence. In the motion attention mechanism, the local dynamic tracking is…

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2017

Hierarchical joint-guided networks for semantic image segmentation

Chien-Yao Wang, Jyun-Hong Li, Seksan Mathulaprangsan, Chin-Chin Chiang, Jia-Ching Wang

ICASSP 2017accepted

Semantic image segmentation is now an exciting area of research owing to its various useful applications in daily life. This paper introduces a hierarchical joint-guided network (HJGN) which is mainly composed of proposed hierarchical joint learning convolutional networks (HJLCNs) and proposed joint…

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