Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Yin, Yufeng"'
Autor:
Lu, Liupei, Yin, Yufeng, Gu, Yuming, Wu, Yizhen, Prasad, Pratusha, Zhao, Yajie, Soleymani, Mohammad
Facial action unit (AU) detection is a fundamental block for objective facial expression analysis. Supervised learning approaches require a large amount of manual labeling which is costly. The limited labeled data are also not diverse in terms of gen
Externí odkaz:
http://arxiv.org/abs/2403.10737
There are individual differences in expressive behaviors driven by cultural norms and personality. This between-person variation can result in reduced emotion recognition performance. Therefore, personalization is an important step in improving the g
Externí odkaz:
http://arxiv.org/abs/2309.02418
Autor:
Yin, Yufeng, Chang, Di, Song, Guoxian, Sang, Shen, Zhi, Tiancheng, Liu, Jing, Luo, Linjie, Soleymani, Mohammad
Automatic detection of facial Action Units (AUs) allows for objective facial expression analysis. Due to the high cost of AU labeling and the limited size of existing benchmarks, previous AU detection methods tend to overfit the dataset, resulting in
Externí odkaz:
http://arxiv.org/abs/2308.12380
Facial expression analysis is an important tool for human-computer interaction. In this paper, we introduce LibreFace, an open-source toolkit for facial expression analysis. This open-source toolbox offers real-time and offline analysis of facial beh
Externí odkaz:
http://arxiv.org/abs/2308.10713
Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip tightening and cheek raising. This paper presents our submission to th
Externí odkaz:
http://arxiv.org/abs/2303.10590
Publikováno v:
In Nutrition, Metabolism and Cardiovascular Diseases August 2024 34(8):1922-1931
Publikováno v:
In Automation in Construction November 2024 167
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
To meet the needs of small and medium-sized processing plants by establishing a software and hardware platform for a robotic arm control system with a hierarchical structure and designing a robot robotic arm motion control system that is adaptable to
Externí odkaz:
https://doaj.org/article/6289c89b3a384bbc85b7b2ee34ade6a5
Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional modelling
Autor:
Zhou, Suping, Jia, Jia, Yin, Yufeng, Li, Xiang, Yao, Yang, Zhang, Ying, Ye, Zeyang, Lei, Kehua, Huang, Yan, Shen, Jialie
Teaching style plays an influential role in helping students to achieve academic success. In this paper, we explore a new problem of effectively understanding teachers' teaching styles. Specifically, we study 1) how to quantitatively characterize var
Externí odkaz:
http://arxiv.org/abs/1911.07253
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