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Deep models for face processing with “big” or “small” data

主讲人 :山世光研究員(中國科學院計算技術研究所,中科院智能信息處理重點實驗室常務副主任) 地点 :教三楼811會議室 开始时间 : 2015-06-18 09:00

學術講座通知

   

講座題目: Deep models for face processing with “big” or “small” data

主講人:山世光研究員中國科學院計算技術研究所,中科院智能信息處理重點實驗室常務副主任

時間:2015618日(周四)上午9:00-11:00

地點:教三樓811會議室

主持人:馬占宇副教授(北郵模式識別實驗室)

內容摘要:

   Deep learning models,especially CNN, has been successfully applied to face recognition, especially under the evaluation protocol of Labeled Faces in the Wild (LFW), when big face data is available. In this talk, except showing some recent results of CNN feature for video-based face processing (our FG’15 paper), I will also show that alternative deep models such as Auto-Encoder can also benefit face recognition impressively, especially for face alignment (our ECCV14 paper) and pose normalization (our CVPR14 paper) purpose. Both works might imply in caseof “small” data, elaborate deep models can also work well for many computerv ision tasks.

               

該講座爲太阳娱乐棋牌-首页60周年校慶系列講座之一,歡迎全校師生踴躍參加。

           

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2015年6月9日

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