嘉宾介绍

         Dr. Xiaodan Liang is currently an Associate Professor at Sun Yat-sen University. She was a Project Scientist at Carnegie Mellon University, working with Prof. Eric Xing. She focuses on the interpretable and cognitive intelligence and its applications on large-scale visual recognition, automatic machine learning and cross-modality dialogue systems. She has published over 80 cutting-edge papers which have appeared in the most prestigious journals and conferences in the field, Google Citation 6300+. She serves as an Area Chair of ICCV 2019, CVPR 2020 and Tutorial Chair (Organization committee) of CVPR 2021. She has been awarded ACM Chine and CCF Best Doctoral Dissertation Award and Alibaba DAMO Academy Young Fellow (Top10 under 35 in China), ACL 2019 Best Demo paper nomination. She and her collaborators has also published the largest human parsing dataset to advance the research on human understanding and successfully organized four workshops and challenges on CVPR 2017, CVPR 2018, CVPR 2019, CVPR 2020. 

报告介绍

报告题目：“数字人”-自动虚拟换衣和人物编辑

报告摘要：复杂场景下的人物解析和人物行为分析技术逐步走向成熟。“数字人”应用作为新一代智能交互技术近期受到了广泛关注，也产生了更多高层次的人物分析和生成任务（如自动虚拟换衣和人物编辑等），对产业界落地有非常重要的意义。本报告将总结自动虚拟换衣和人物编辑的主要进展，从2D图像虚拟换衣，视频虚拟换衣，多角度姿态生成和人物编辑等方面，介绍研究小组的一些探索和思考, 研究如何解决复杂场景、人物姿态变化和外观变化，多种时尚单品所带来的技术挑战。

直播信息

直播时间

7月28日（星期二）19:00-20:00

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