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20150819-26 高盛华:Dictionary Separation in Sparse Representation

2015-8-16 10:32| 发布者: 彭玺ASTAR| 查看: 5943| 评论: 0

摘要: 【15-26期VALSE Webinar活动】报告嘉宾1:高盛华(上海科技大学)主持人:张开华(南京信息工程大学)报告题目:Dictionary Separation in Sparse Representation报告时间:2015年8月19日晚20:00(北京时间)文章信 ...

【15-26期VALSE Webinar活动】

报告嘉宾1:高盛华(上海科技大学)
主持人:郑伟诗(中山大学)
报告题目:Dictionary Separation in Sparse Representation [Slides]
报告时间:2015年8月19日晚20:00(北京时间)
文章信息:
[1] Shenghua Gao, IvorWai-Hung Tsung, Yi Ma. Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Transactions on Image Processing (TIP),23(2):623 - 634, Feb 2014.
[2] Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma, “Neither global nor local: regularized patch-based representation for single sample face recognition”, International Journal of Computer Vision (IJCV), Volume 111 Issue 3, Pages 365-383, February 2015
报告摘要: Decomposing the dictionary into some sub-dictionaries with different properties would greatly boost the performance of sparse representation many computer vision tasks. In this report, I will present two algorithms for multi-dictionaries based sparse representation as well as their applications, including fine-grained image categorization and one-shot face recognition.
报告人简介: Shenghua Gao is an assistant professor in ShanghaiTech University, China. He received the B.E. degree from the University of Science and Technology of China in 2008 (outstanding graduates), and received the Ph.D. degree from the Nanyang Technological University in 2012. From Jun 2012 to Aug 2014, he worked as a research scientist in Advanced Digital Sciences Center, Singapore. From Jan 2015 to June 2015, he visited UC Berkeley as a visiting scholar. His research interests include computer vision and machine learning. He has published more than 30 papers on object and face recognition related topics in many international conferences and journals, including IEEE T-PAMI,IJCV, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TCSVT, CVPR, ECCV, etc. He was awarded the Microsoft Research Fellowship in 2010.

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