Yang Liu
y.liu11@imperial.ac.uk
Room 1008d, Computer Vision and Learning Lab
Department of Electrical and Electronic Engineering
Imperial College LondonMain Campus (South Kensington)
London, SW7 2BT, UK
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 Semi-Supervised Trajectory Learning Using a Multi-Scale Key Point Based Trajectory Representation. Spectral Graph Partitioning Based on A Random Walk Diffusion Similarity Measure.
W. Luo, X. Zhang, Y. Liu, X. Li, W. Hu and W. Li.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011.
Y. Liu, X. Li and W. Hu.
International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010.
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.
