Rui Zhao 趙瑞
Sep. 1, 2015: I joined SenseTime Group Ltd. as a research scientist.
Apr. 7, 2015: I received travel award from the Doctoral Consortium of CVPR 2015!
Jan. 08, 2015: I'm now at the end of my PhD and looking for a place where my skills and passion will have the highest positive impact. (Check my CV!)
Nov. 21, 2013: I am awarded travel grant to ICCV 2013!
May 22, 2013: Project page of our CVPR'13 work is built, and code is available.
May 15, 2013: New homepage launched!
I finished my Ph.D. thesis in Department of Electronic Engineering of The Chinese University of Hong Kong (CUHK). My supervisor is Prof. Xiaogang Wang, and I also closely work with Prof. Wanli Ouyang. I am a member of both Multimedia Lab (MMLab) and Image and Video Processing Lab (IVPLab).
I received the Bachelor degree in Department of Electronic Engineering and Information Science (EEIS) from University of Science and Technology of China (USTC). While there, I was a member of Information Processing Center (IPC).
My research interests include computer vision, machine learning, and deep learning, and particularly object matching and recognition in video surveillance.
IEEE Transaction on Image Processing (TIP)
IEEE Transactions on Neural Network and Learning System (TNNLS)
IEEE Transaction on Intelligent Transportation Systems (TITS)
IEEE Transaction on Circuits and Systems for Video Technology (TCSVT)
IEEE Signal Processing Letters (SPL)
Elsevier Journal of Neurocomputing (NEUCOM)
Elsevier Journal of Image and Vision Computing (IMAVIS)
Elsevier Journal of Visual Communication and Image Representation Registration (JVCI)
Springer Journal of Machine Vision and Applications (MVA)
Springer Journal of The Visual Computer (TVC)
Springer Book "Person Re-identification", 2014
Conference Reviewer / External Reviewer
Program Committee Member
Volunteer, ICIP 2010
Student member, IEEE
2011, Fall Basic Circuit Theory (ENGG1110A).
2012, Spring Introduction to Engineering Design (ENGG1100).
2012, Fall Basic Circuit Theory (ENGG1110B).
2013, Spring Problem Solving By Java Programming (ENGG1110D).
2014, Spring Problem Solving By Java Programming (ENGG1110J).
2014, Spring Pattern Recognition (ENGG5202).
2014, Fall Biomedical Imaging Applications (BMEG4320).
2015, Spring Problem Solving By C Programming (ENGG1110N).
deepsaldet : C++/Python code of our CVPR 2015 work "Saliency Detection by Multi-Context Deep Learning".
midfilter_reid : MATLAB code of our CVPR 2014 work "Learning Mid-level Filters for Person Re-identification".
salience_match : MATLAB code of our ICCV 2013 work "Person Re-identification by Salience Matching".
salience_reid : MATLAB code of our CVPR 2013 work "Unsupervised Salience Learning for Person Re-identification".
dense_feat : MATLAB code of dense feature extractor used in our person re-identification works.
CUHK01 Dataset : Person re-id dataset with 3, 884 images of 972 pedestrians. All pedestrian images are manually cropped, and normalized to 160 x 60 pixel.
CUHK02 Dataset : Person re-id dataset with five camera view settings. This dataset is used for evaluating re-id algorithms under different camera view transforms.
CUHK03 Dataset : Person re-id dataset with 13, 164 images of 1, 360 pedestrians. This dataset provides both manually cropped pedestrian images and auto detected ones (using prevailing pedestrian detector).