Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Junxiao Shen"'
Autor:
Xuhai Xu, Anna Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kim, Hrvoje Benko
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the role of XAI also becomes essential in AR because end-users will frequentl
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Publikováno v:
ISMAR
The eventual success of many AR and VR intelligent interactive systems relies on the ability to collect user motion data at large scale. Realistic simulation of human motion trajectories is a potential solution to this problem. Simulated user motion
Deep learning approaches deliver state-of-the-art performance in recognition of spatiotemporal human motion data. However, one of the main challenges in these recognition tasks is limited available training data. Insufficient training data results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eebb8272f54a6763856ec0b878fa2cb1