<strike id="ztxdv"></strike>

      <noframes id="ztxdv">
      <sub id="ztxdv"></sub>

      <address id="ztxdv"><nobr id="ztxdv"><menuitem id="ztxdv"></menuitem></nobr></address><address id="ztxdv"><listing id="ztxdv"><menuitem id="ztxdv"></menuitem></listing></address>

            學術活動

            Glass Removal in Face Recognition

            作者:來源:山東理工大學發布時間:2019-01-10閱讀次數:148



                   今邀請澳大利亞科廷大學劉萬全教授來校訪學作學術報告,屆時將與我校有關專家學者進行學術交流。歡迎廣大師生踴躍參加!

            報告題目:Glass Removal in Face Recognition

            報告時間:2019111(周五)上午1000

            報告地點:9號教學樓211

             

               附件:劉萬全教授簡介

             

             

                     計算機科學與技術學院

                     科學技術處

                      2019110



            附件:劉萬全教授

             

            劉萬全教授簡介

             

            Dr.   Wanquan Liu received the BSc degree in Applied Mathematics from Qufu Normal University, P.R. China, in 1985, the MSc degree in Control Theory and Operation Research from Chinese Academy of Science in 1988, and the PhD degree in Electrical Engineering from Shanghai Jiaotong University, in 1993. He once held the ARC Fellowship, U2000 Fellowship and JSPS Fellowship and attracted research funds from different resources over 2.7 million dollars. He is currently an Associate Professor in the Department of Computing at Curtin University and is in editorial board for seven international journals. His current research interests include large-scale pattern recognition, signal processing, machine learning, and computer vision. He is the editor-in-chief for Journal of Mathematical Foundation of Computing (MFC).

            In this talk, He first introduce his background in research, his lab in Australia as well as collaboration in NCUT with an aim to explore more cooperations. In the second part of the talk, He will discuss the glass impact issue in face recognition and propose a scheme to remove the glasses in a face. The proposed scheme include some advanced machine leaning techniques including SVM, face detector and deep learning. Some experimental results validated the effectiveness of the proposed scheme.

                 

            責任編輯:
            UU彩票 御都彩票 | 彩票33 | cpcp彩票 | 优彩彩票 | 购彩堂 | 新世纪彩票 | pk333彩票 | 万合彩票 | 大发彩票 | 彩29彩票 | 118彩票 | 105彩票 | 铂金彩票 | 积分彩彩票 | 大富彩票 | 乐盈彩票 | 博易彩票 | 新盈彩彩票 | 玩彩网彩票 | c39彩票 | 云顶彩票 | 彩77彩票 | 五六彩票 | 吉利彩票 | 利盈彩票 | 600万彩票 | 优彩彩票 | 国彩网 | 755彩票 | 快乐投彩票 | 金彩网彩票 | 胜彩彩票 | 滴滴彩票 | 开心彩票平台 | 热购彩票 | 中乐彩 | 赢彩彩票 | 彩八彩票 | 网投彩票 | 捷豹彩票 | 玩赚彩票 | 福利宝彩票 | 联运彩票 | 九五彩票 | 移动彩票 | 彩猫彩票 | 新乐赢彩票 | 92彩票 | 顺风彩票 | 掌上彩票 | 惠民彩票 | 凯撒彩票 | 顺发彩票 | 20727彩票 | 黄金彩票 | 71彩票 | 博易彩票 | 仲傅彩票 | 彩6彩票 | 彩猫彩票 | 彩客网 | 随手彩票 | 大本赢彩票 | 中大奖彩票 | 鸿运彩票 | 海南彩票 | 皇朝彩票 | 黄金彩票 | 大世界彩票 | PK彩票 | 海南彩票 | 名人彩票 | VIP彩票 | 608彩票 | 乐彩vip专业版 | 时时彩彩票 | 彩票99 | 彩66彩票 | 地球人彩票 | 9号彩票 | 彩酷彩票 | 乐购彩票 | 彩票365 | 环彩网 | 国彩网 | 乐彩网 | 吉利彩票 | OK彩票 | 盛大彩票 | 5050彩票 | 98彩票 | 万森彩票 | 国彩彩票 | 久久彩票 | 众益彩票 | 必赢彩票 | 华彩彩票 | 万彩和彩票 | 500彩票网 |