Zobrazeno 1 - 10
of 118
pro vyhledávání: '"JITAO SANG"'
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 1, Pp 89-97 (2022)
In this paper proposed was a method to solve the multi-side fairness of the recommender system from the perspective of Pareto. It eliminates the sensitive attribute information in the user embedding through the adversarial regularizer, and adopts the
Externí odkaz:
https://doaj.org/article/5d50405680774082bf87e358620727e4
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Feb2024, Vol. 20 Issue 2, p1-16, 16p
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-20
This article explores the problem of image-based personality questionnaire design. Compared with the traditional text-based personality questionnaire, the image-based personality questionnaire is more natural, truthful, and language insensitive. Inst
Autor:
Menghao Hu, Mingxuan Luo, Menghua Huang, Wenhua Meng, Baochen Xiong, Xiaoshan Yang, Jitao Sang
Publikováno v:
Multimedia Systems. 29:1-13
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Jul2023, Vol. 19 Issue 4, p1-18, 18p
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Publikováno v:
Information Sciences. :119171
Autor:
Jiaming Zhang, Kaiyuan Xu, Jitao Sang, Xian Zhao, Yanfeng Sun, Yongli Hu, Jian Yu, Shangxi Wu
Publikováno v:
IEEE Transactions on Multimedia. 23:2575-2587
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human. The most popular and practical Turing test is CAPTCHA, which is to discriminate algorithm from human by offering recognition-alike questions.
Publikováno v:
IEEE Transactions on Multimedia. 23:510-523
Social media has revolutionized the way people understand and keep track of real-world events. Various related multimedia information in different modalities such as texts, images and videos is updated on social media and reflects the events. These q
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-133
Recognizing activities from egocentric multimodal data collected by wearable cameras and sensors, is gaining interest, as multimodal methods always benefit from the complementarity of different modalities. However, since high-dimensional videos conta