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XiaoLong Chen


Graduated in Computer Science in 2005 from Concordia University, XiaoLong Chen started working for TEC inc., a business software consulting company. Out of interest for the field of Computer Graphics, Chen decided to pursuit his master study in Computer Science in Concordia University in 2009. In 2010, he published a paper named “Learning Human Action Sequence Style from Video for Transfer to 3D Game Characters” in Motion in Games. This paper describes a novel model of capturing the high level action styles of human from video sequences and re-applying them on a 3D character. Also in 2010, he started working for SAP AG while remaining to be a full time student in Concordia. Current Chen is working towards the end of my master study. His recent research focus is enhancing motion graph with video data, which is to utilize video data to create realistic transition between two motions.


» Learning Human Action Sequence Style from Video

» Augmenting Motion Graph with Video Data

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