Learning to Understand Human Behaviors though Visual Cues

发布者:曹玲玲发布时间:2024-07-15浏览次数:10

报告人:Yujun Cai 博士,Queensland University Lecturer

报告时间:2024年7月17日(周三)上午10:30-11:30

报告地点:东南大学九龙湖校区计算机楼106室,#腾讯会议:903-765-732

报告人简介:Dr. Yujun Cai will join Queensland University in Australia as a lecturer (equivalent to Assistant Professor) in Fall 2024. She received her Ph.D. in 2021 from Nanyang Technological University, Singapore, and has been with Meta Reality Lab in the USA since 2022. Her research interests include vision-based human perception, vision-language understanding, and natural language processing. She has published over 20 papers in top-tier conferences and journals, including TPAMI, CVPR, ICCV, ECCV, and NeurIPS, with over 3000 citations. Dr. Cai is recruiting motivated Ph.D. students and research interns. Interested candidates can email her at yujuncai001@outlook.com.

报告摘要:Understanding human behaviors through visual cues is a fundamental challenge in computer vision, with significant implications across various domains, including healthcare, AR/VR, and human-computer interaction. Accurately estimating poses and comprehending motion patterns allow us to infer intentions, predict actions, and enhance human-centric applications. In this talk, we will explore recent advancements in human perception, showcasing the potential of learning-based models in unlocking and interpreting the complexities of human behaviors. By leveraging these models, we can develop more intuitive and responsive systems that better understand and interact with humans.

  • 联系方式
  • 通信地址:南京市江宁区东南大学路2号东南大学九龙湖校区计算机学院
  • 邮政编码:211189
  • ​办公地点:东南大学九龙湖校区计算机楼
  • 学院微信公众号