Dr. Yi Yang from University of Technology Sydney visited School of Computer Science on 12 August, and run a seminar for “Intelligent Video and Image analysis”. In the seminar, Dr. Yang talked about their recent work on video and image analysis. He started with a novel pooling method for robust imaginary sequences representation. Then introduced our recent progress in unconstrained video analysis, including Convolution Neural Network(CNN) based efficient video feature extraction, unsupervised visual parser adaptation from video to images, and hierarchy video representation based on the Recurrent Neural Networks with a few application of surveillance video analysis, ranging from improving security to quality of life. After the seminar, school’ teachers and students have further discussions with Dr. Yang in the interaction session.
Dr.Yang received the Ph.D.degree in computer science from Zhejiang University in 2010. He is currently an associate professor and deputy head of school (Research) with the School of software, University of Technology Sydney, Australia. He was a Post-Doctoral Research with the School of Computer Science, Carnegie Mellon University , Pittsburgh, PA, USA,from 2010 to 2013. His research interest include machine learning and its applications to multimedia content analysis and computer vision , such as multimedia indexing and retrieval, surveillance video analysis and video content understanding. He has published around 100 papers’ in many well known journals and conferences, including IJCV, ITIP, AAAI,I JCAI, CVPR, etc.