Xiao Bai

Dr. Bai Xiao received the B.Eng. degree in Computer Science from Beihang University (BUAA) of China in 2001. From 2002 to 2006, he was a Ph.D. student at Computer Science Department , University of York, U.K. under the supervision of Professor Edwin R. Hancock. From September 2006 to December 2008, he was a Research Officer (Fellow, Scientist) at Computer Science Department, University of Bath. He is now an Associate Professor at Computer Science School, Beihang University (BUAA). He has published more than 30 papers in journals and refreed conferences. His current research interests include computer vision, image processing and pattern recognition.

Publications

A Large Margin Learning Method for Matching Images of Natural Objects With Different Dimensions
A Large Margin Learning Method for Matching Images of Natural Objects With Different Dimensions
Haoyi Zhou, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai, Yunlu Liu. © 2019. 20 pages.
Imaging devices are of increasing use in environmental research requiring an urgent need to deal with such issues as image data, feature matching over different dimensions. Among...
Preface
Preface
Jun Zhou, Xiao Bai, Terry Caelli. © 2016. 7 pages.
This Preface is included in the book Computer Vision and Pattern Recognition in Environmental Informatics.
A Large Margin Learning Method for Matching Images of Natural Objects with Different Dimensions
A Large Margin Learning Method for Matching Images of Natural Objects with Different Dimensions
Haoyi Zhou, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai, Yunlu Liu. © 2016. 19 pages.
Imaging devices are of increasing use in environmental research requiring an urgent need to deal with such issues as image data, feature matching over different dimensions. Among...
Graph-Based Methods in Computer Vision: Developments and Applications
Graph-Based Methods in Computer Vision: Developments and Applications
Xiao Bai, Jian Cheng, Edwin Hancock. © 2013. 395 pages.
Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital...
Discriminative Feature Selection in Image Classification and Retrieval
Discriminative Feature Selection in Image Classification and Retrieval
Shang Liu, Xiao Bai. © 2013. 15 pages.
In this chapter, the authors present a new method to improve the performance of current bag-of-words based image classification process. After feature extraction, they introduce...
Salient Region Detection for Biometric Watermarking
Salient Region Detection for Biometric Watermarking
Bin Ma, Chun-lei Li, Yun-hong Wang, Xiao Bai. © 2013. 19 pages.
Visual saliency, namely the perceptual significance to human vision system (HVS), is a quality that differentiates an object from its neighbors. Detection of salient regions...