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亚博体彩竞猜-官网

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          首页  >  研究生教育  >  通知公告  >  正文
          【成电EMC2论坛第001期】Deep Neural Networks: Recognition, Transfer, and Understanding
          发布日期:2018-04-25作者:管理员 阅读次数:

          题 目:Deep Neural Networks: Recognition, Transfer, and Understanding


          时 间: 2018年4月28日 10:00
          地 点: 材料与能源学院304A会议室
          主讲人: 谢凌曦
          主持人: 向勇


          主讲人简介:

          Lingxi Xie obtained his B.E and Ph.D. degree from Tsinghua University in 2010 and 2015, respectively. He is currently a post-doctoral researcher in the Johns Hopkins University. He moved there from the University of California, Los Angeles. From 2013 to 2015, he was a research intern at Microsoft Research Asia. He was a visiting researcher at the University of Texas as San Antonio in 2014. Lingxi has been working on computer vision and multimedia information retrieval, especially in the area of image classification, image retrieval and object detection. He is also interested in the theory and application of deep learning. Lingxi obtained the best paper award on ICMR 2015.

          报告简介:

          Deep neural networks have been widely applied to a wide range of computer vision tasks. In this talk, we will first take a brief review on the history and basic concepts of deep learning. Then, starting from the most fundamental problem, image recognition, we will introduce several efforts in increasing the ability of neural networks. Based on powerful models, we can either transfer knowledge to other image applications, or try to understand how these models capture visual concepts at different levels.



          热忱欢迎广大师生积极参与!


          "亚博体彩竞猜-官网

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