简介：谭铁牛，研究员，博士生导师。现为南京大学党委书记、全国政协常委、中国科学院自动化研究所模式识别实验室主任、中国图象图形学学会名誉理事长，是中国科学院院士、英国皇家工程院外籍院士、发展中国家科学院院士、巴西科学院通讯院士、国际模式识别学会会士、国际电子电气工程师学会会士、中国图象图形学学会会士、中国人工智能学会会士。谭铁牛博士主要从事图像处理、计算机视觉和模式识别等相关领域的研究工作。主持过一批由国家基金委、国家973计划、863计划、国际合作计划、国家重点研发计划等资助的科研项目。现已出版编著和专著18部，并在主要的国内外学术期刊和国际学术会议上发表论文700多篇，获准和申请发明专利100多项。曾获中国青年五四奖章、中国青年科技奖、国家技术发明二等奖、国家自然科学二等奖和国家科技进步二等奖和国际模式识别领域最高奖——傅京孙奖。曾任中央人民政府驻香港特别行政区联络办公室副主任、中国科学院副院长、中国人工智能学会副理事长、中国自动化学会副理事长、中国计算机学会副理事长、中国图象图形学学会理事长、国际模式识别学会第一副主席、IEEE生物识别理事会主席。

报告题目：大模型背景下的数字内容取证

简介：王耀南，中国工程院院士，机器人技术与智能控制专家,湖南大学教授，机器人视觉感知与控制技术国家工程研究中心主任；中国科协委员、中国图象图形学学会理事长、中国自动化学会会士、中国计算机学会会士、中国人工智能学会会士；国家863智能机器人领域专家；主持完成国家科技计划重大专项、重大科研仪器研制项目、国家863重大项目、国家自然科学基金重大项目、欧盟第五框架国际合作项目、德国杰出洪堡学者项目等；技术成果获国家技术发明二等奖1项、国家科技进步二等奖5项、中国发明创业特等奖1项、省部级科技奖励一等奖11项、国际IEEE机器人与自动化领域“工业应用最高奖”1项；发表高水平论文200余篇，出版著作15部，发明专利90余项。

报告题目：大模型驱动的具身智能人形机器人与展望

简介：Yoichi Sato is a professor at the Institute of Industrial Science at the University of Tokyo. He received his B.S. degree from the University of Tokyo in 1990, and his MS and PhD degrees in robotics from the School of Computer Science at Carnegie Mellon University in 1993 and 1997, respectively. His research covers various topics in computer vision from object appearance analysis to human behavior understanding, such as egocentric vision, gaze sensing, physics-based vision, and reflectance analysis. He has been involved in journal editorial work, including IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, and Computer Vision and Image Understanding. He has also held key roles in organizing major conferences such as CVPR 2023 General Co-Chair, ICCV 2021 Program Co-Chair, ECCV 2012 Program Co-Chair, ACCV 2018 General Co-Chair, and ACCV 2016 Program Co-Chair.

报告题目：Understanding Egocentric Visual Attention and Actions

简介：Yi Ma is a Chair Professor in Artificial Intelligence, the inaugural director of the Data Science Institute, and the head of the Computer Science Department of the University of Hong Kong since 2023. His research interests include computer vision, high-dimensional data analysis, and integrated intelligent systems. Yi received his two bachelor’s degrees in Automation and Applied Mathematics from Tsinghua University in 1995, two master’s degrees in EECS and Mathematics in 1997, and a PhD degree in EECS from UC Berkeley in 2000. He has been on the faculty of UIUC ECE from 2000 to 2011, the principal researcher and manager of the Visual Computing group of Microsoft Research Asia from 2009 to 2014, and the Executive Dean of the School of Information Science and Technology of ShanghaiTech University from 2014 to 2017. He joined the faculty of UC Berkeley EECS in 2018. He has published over 65 journal papers, 145 conference papers, and 3 textbooks on computer vision, generalized PCA, and high-dimensional data analysis. He received the NSF Career award in 2004 and the ONR Young Investigator award in 2005. He also received the David Marr prize in computer vision from ICCV 1999 and best paper awards from ECCV 2004 and ACCV 2009. He has served as the Program Chair for ICCV 2013 and the General Chair for ICCV 2015. He is a Fellow of IEEE, ACM, and SIAM.

报告题目：透明且一致的深度表征学习：从黑盒到白盒，从开环到闭环