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Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition

Autor: Liu, Hanwei, Cai, Huiling, Lin, Qingcheng, Li, Xuefeng, Xiao, Hui

Annotation ambiguity caused by the inherent subjectivity of visual judgment has always been a major challenge for Facial Expression Recognition (FER) tasks, particularly for largescale datasets from in-the-wild scenarios. A potential solution is the

Externí odkaz: http://arxiv.org/abs/2411.13024

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Norface: Improving Facial Expression Analysis by Identity Normalization

Autor: Liu, Hanwei, An, Rudong, Zhang, Zhimeng, Ma, Bowen, Zhang, Wei, Song, Yan, Hu, Yujing, Chen, Wei, Ding, Yu

Facial Expression Analysis remains a challenging task due to unexpected task-irrelevant noise, such as identity, head pose, and background. To address this issue, this paper proposes a novel framework, called Norface, that is unified for both Action

Externí odkaz: http://arxiv.org/abs/2407.15617

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Akademický článek

Influence of oxygen partial pressure on the passivation and depassivation of super 13Cr stainless steel in high temperature and CO2 rich environment

Autor: Lv Naixin, Fu Anqing, Liu Hanwei, Lv Wei, Gao Yan, Bai Haitao, Song Shaohua, Yin Chengxian, Liang Xin, Xu Zhengyi

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

Abstract The passivation and depassivation characteristics of Super 13Cr stainless steel were examined under a range of oxygen partial pressures within a high-temperature (120 ℃) and high-pressure (3 MPa) CO2 atmosphere. We performed comprehensive

Externí odkaz: https://doaj.org/article/9252349b19b2497eac1868f2f906db43

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A Review of Intelligent Music Generation Systems

Autor: Wang, Lei, Zhao, Ziyi, Liu, Hanwei, Pang, Junwei, Qin, Yi, Wu, Qidi

With the introduction of ChatGPT, the public's perception of AI-generated content (AIGC) has begun to reshape. Artificial intelligence has significantly reduced the barrier to entry for non-professionals in creative endeavors, enhancing the efficienc

Externí odkaz: http://arxiv.org/abs/2211.09124

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An automated approach for consecutive tuning of quantum dot arrays

Autor: Liu, Hanwei, Wang, Baochuan, Wang, Ning, Sun, Zhonghai, Yin, Huili, Li, Haiou, Cao, Gang, Guo, Guoping

Publikováno v: Appl. Phys. Lett. 121, 084002 (2022)

Recent progress has shown that the dramatically increased number of parameters has become a major issue in tuning of multi-quantum dot devices. The complicated interactions between quantum dots and gate electrodes cause the manual tuning process to n

Externí odkaz: http://arxiv.org/abs/2208.12414

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