My E-mail Address: 

Hanzi.Wang@ieee.org
 

About Me:

Hanzi Wang is currently a "MinJiang" Distinguished Professor at Xiamen University, China and an Adjunct Professor at the University of Adelaide, Australia. He was a Senior Research Fellow (2008-2010) working with Prof. David Suter, at the University of Adelaide, Australia; an Assistant Research Scientist (2007-2008) and a Postdoctoral Fellow (2006-2007) working with Prof. Gregory D. Hager, at the Johns Hopkins University; and a Research Fellow working with Prof. David Suter, at Monash University, Australia (2004-2006). He received the Ph.D degree in Computer Vision from Monash University. He was awarded the Douglas Lampard Electrical Engineering Research Prize and Medal for the best PhD thesis in the Department. His research interests are concentrated on computer vision and pattern recognition including visual tracking, robust statistics, object detection, video segmentation, model fitting, optical flow calculation, 3D structure from motion, image segmentation and related fields.

He is a Senior Member of the IEEE. He is an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) and he was a Guest Editor of Pattern Recognition Letters (September 2009).

Video Demos:

Research Projects:


Selected Publications ( Copyright Statement )

Academic Journals:

Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), to appear, 2012.
(pdf) (Partial data and ground truth are available: here)
UBoost: Boosting with the Universum
IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), to appear, 2012.
(pdf)
A System for Video-based Navigation for Endoscopic Endonasal Skull Base Surgery
IEEE Trans. on Medical Imaging (TMI), accepted in Nov., 2011.
(pdf)
A Generalized Kernel Consensus Based Robust Estimator.
IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol 32, No. 1, pages 178-184, 2010.
(pdf)
Book Chapter: Conference/Workshop Proceedings:
Graph Mode-based Contextual Kernels for Robust SVM Tracking
IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, pages: to appear, 2011. 
Multi-Structure Model Selection via Kernel Optimisation.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, June 13-18, 2010. (Acceptance rate: 26.8%)
(pdf)
Thesis:
  • H. Wang.

  • Robust Statistics for Computer Vision: Model Fitting, Image Segmentation and Visual Analysis.
    Ph.D. Thesis, Monash University, Department of Electrical and Computer Systems Engineering, 2004.
    Douglas Lampard Electrical Engineering Research Prize and Medal
    (pdf), (abstract)
    Other Publications:

    Some Useful Links: