特邀澳大利亚卧龙岗大学 Wang Lei教授来校作学术报告

发布单位:自动化学院创建者:何亚群发布时间:2018-12-14浏览量:1164

报告题目:Learning SPD-matrix-based Representation for Visual Recognition

报告时间:12月18日(周二)上午10:00

报告地点:学科3号楼S410会议室

报告人:Wang Lei 教授

主持人:刘青山 教授

欢迎广大师生踊跃参加!

江苏省大数据分析技术重点实验室

江苏省气象能源利用与控制工程技术研究中心

江苏省大气环境与装备技术协同创新中心

自动化学院

2018年12月14日

 

报告摘要:During the past several years, covariance matrices have been used as feature representation in multiple visual recognition tasks. This talk will report our recent work on learning and designing covariance and generic symmetric positive definite matrices to achieve better recognition. The first part of this talk presents a method called discriminative Stein kernel. It integrates class label information into the Stein kernel to adjust input covariance matrices to enhance its discriminative capability. The second part explores the sparsity structure among features to compute sparse inverse covariance matrix as representation, achieving better recognition performance in the case of high-dimensional features but small sample. The third part moves beyond covariance matrix to employ kernel matrix as feature representation, and jointly learn it in deep learning framework via an end-to-end manner. This not only resolves the high dimensionality and small sample problems, but can also take advantage of the capability of kernel matrix in modelling nonlinear relationship among features. Comprehensive experimental study is conducted on visual classification tasks to demonstrate the efficacy and advantage of the proposed methods over the comparable ones in the literature.

报告人简介:Lei Wang received his PhD degree from Nanyang Technological University, Singapore. He is now Associate Professor at School of Computing and Information Technology of University of Wollongong, Australia. His research interests include machine learning, pattern recognition, and computer vision. Lei Wang has published 140+ peer-reviewed papers, including those in highly regarded journals and conferences such as IEEE TPAMI, IJCV, CVPR, ICCV and ECCV, etc. He was awarded the Early Career Researcher Award by Australian Academy of Science and Australian Research Council. He served as the General Co-Chair of DICTA 2014 and on the Technical Program Committees of 20+ international conferences and workshops. Lei Wang is senior member of IEEE.