Yang Liu

y.liu11@imperial.ac.uk

Room 1008d, Computer Vision and Learning Lab
Department of Electrical and Electronic Engineering
Imperial College London
Main Campus (South Kensington)
London, SW7 2BT, UK
Computer Vision and Learning Lab

Publications:

Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates.
D. Tang, Y. Liu and T-K. Kim.
British Machine Vision Conference (BMVC), Surrey, UK, 2012.

Multi-Cue Based Multi-Target Tracking Using Online Random Forest.
X. Shi, X. Zhang, Y. Liu, W. Hu and H. Ling.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011.

Efficient Block-division Model for Robust Multiple Object Tracking
W. Luo, X. Zhang, Y. Liu, X. Li, W. Hu and W. Li.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011.

Semi-Supervised Trajectory Learning Using a Multi-Scale Key Point Based Trajectory Representation.
Y. Liu, X. Li and W. Hu.
International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010.

Spectral Graph Partitioning Based on A Random Walk Diffusion Similarity Measure.
Xi Li, Weiming Hu, Zhongfei Zhang, Yang Liu.
Asian Conference on Computer Vision (ACCV), 2009.

I am currently a PhD student in Computer Vision and Learning Lab, in Department of Electrical and Electronic Engineering, Imperial College London. I work under the supervision of Dr. Tae-Kyun Kim.

My research interest lies in Computer Vision and Applied Machine Learning. My current research topic is Object Recognition in Videos.

Before coming to Imperial, I got MSc degree from Chinese Academy of Sciences (National Laboratory of Pattern Recognition, Institute of Automation) in 2011, and BSc degree from Beihang University (School of Automation Science and Electrical Engineering) in 2008.

My curriculum vitae.

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