Jingkuan Song
ABSTRACT
Understanding human interactions within diverse media contexts has emerged as a fundamental challenge. The explosive growth of multimedia data not only provides opportunities for human-centirc analysis but also increases the complexity of processing multimodal data. To address this pivotal challenge and explore its multifaceted dimensions, the Fourth International Workshop on Human-Centric Multimedia Analysis is concentrated on the tasks of human-centric analysis with multimedia and multimodal information. By delving into the nuances of human behavior within multimedia, this workshop aims to uncover novel insights, showcase innovative methodologies, and discuss future directions. With a spotlight on cutting-edge research and a focus on real-world applications, the workshop seeks to equip researchers and practitioners with the tools and knowledge to navigate the intricacies of human-centric multimedia analysis.
- Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang, and Wenming Yang. 2022. Exploiting temporal contexts with strided transformer for 3d human pose estimation. IEEE Transactions on Multimedia 25 (2022), 1282--1293.Google Scholar
Digital Library
- Si Liu, BingBing Ni, and Liang Lin. 2015. Human-Centric Images and Videos Analysis. In Proceedings of the 23rd ACM international conference on Multimedia. 1331--1332.Google ScholarDigital Library
- Witold Pedrycz and Fernando Gomide. 2007. Fuzzy systems engineering: toward human-centric computing. John Wiley & Sons.Google Scholar
- Bing Shuai, Andrew Berneshawi, Xinyu Li, Davide Modolo, and Joseph Tighe. 2021. Siammot: Siamese multi-object tracking. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 12372--12382Google ScholarCross Ref
Index Terms
- HCMA '23: 4th International Workshop on Human-Centric Multimedia Analysis
Comments