yl6809永利皇宫:Progress in Video Captioning

    2025-04-17 17:17:31 来源:yl6809永利皇宫          浏览数:0

  报告题目:Progress in Video Captioning

  报告人:Ruili Wang教授

  时 间:2025年4月19日15:00

  地 点:信息楼315

  内容介绍: Knowledge Enhancement and Disentanglement Learning for Video Captioning. Video captioning, bridging computer vision and natural language, is crucial for various knowledge-based systems in the age of video streaming. Recent video captioning approaches have shown promise by integrating additional text-related knowledge to enhance understanding of video content and generate more informative captions. However, methods relying heavily on knowledge graphs face several limitations To tackle these issues, we propose a novel knowledge enhancement and disentanglement learning method for video captioning. Our approach introduces a comprehensive and adaptable knowledge source to enhance text-related knowledge, thus directly improving caption generation. Extensive experiments demonstrate that our proposed method outperforms existing methods in both quantitative and qualitative results.

  报告人简介:Ruili Wang教授,博士生导师,新西兰工程院院士,毕业于华中科技大学(学士)、东北大学(硕士)、都柏林城市大学(博士),担任新西兰梅西大学数学与计算科学学院科研副院长。目前从事的研究包括人工智能、机器学习、机器视觉、语音处理和自然语言处理等多个方面。曾获得多个新西兰国家级重大和重点项目的资助。担任多个SCI期刊的编委,包括IEEE Transactions on Multimedia (TMM), IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI),  ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Knowledge and Information Systems (Springer), Applied Soft Computing (Elsevier), Neurocomputing (Elsevier).

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