Towards deeper understanding of Video and Language

  主讲人:蒋路,Google

  时间:12月21日上午10:00~11:30

  地点:计算所421会议室

  报告摘要:

  In this talk, we first briefly discuss an efficient and scalable retrieval method for Internet video content that we developed at Carnegie Mellon University. We implemented E-Lamp Lite, the first of its kind content-based search engine for Internet videos. After that, we will discuss our recent research on vision+language and weakly-supervised deep learning at Google AI. A few interesting problems such as video question answering and video understanding will be discussed to showcase our deep learning research.

  报告人简介:

  蒋路,谷歌科学家,谷歌云人工智能(李飞飞)团队创始成员。曾于2017年获得卡内基梅隆大学人工智能(语言技术)博士学位。曾于2008年2011年获得西安交通大学工学学士与硕士学位。长期致力于计算机视觉,机器学习和多媒体的交叉领域研究。他是Yahoo Fellowship和欧盟的Erasmus Mundus Scholarship的获得者。作为核心成员获得美国国家标准总局(NIST)举办的多项大赛中获得冠军。近年来在包括 NIPS, ICML, CVPR, ECCV, MM, AAAI, IJCAI 等发表论文20余篇。他是ACM Multimedia, AAAI, IJCAI, CVPR 等会议的技术程序委员,JMLR, TPAMI, TMM, CVIU等期刊的审稿人。工作曾经获得IEEE SLT的最佳论文(best poster)和ACM ICMR的最佳论文提名(best paper candidate)。