Zobrazeno 1 - 10
of 9 961
pro vyhledávání: '"LIU, Yuanyuan"'
Emotion Recognition (ER) is the process of identifying human emotions from given data. Currently, the field heavily relies on facial expression recognition (FER) because facial expressions contain rich emotional cues. However, it is important to note
Externí odkaz:
http://arxiv.org/abs/2411.05879
Autor:
Liu, Qize, Pan, Xiaofan, Zheng, Xutao, Gao, Huaizhong, Li, Longhao, Wang, Qidong, Yang, Zirui, Tang, Chenchong, Wu, Wenxuan, Cheng, Jianping, Zeng, Zhi, Zeng, Ming, Feng, Hua, Zhang, Binbin, Wang, Zhonghai, Zhou, Rong, Liu, Yuanyuan, Lin, Lin, Zhong, Jiayong, Jiang, Jianyong, Han, Wentao, Tian, Yang, Xu, Benda, Collaboration, GRID
The Gamma-Ray Integrated Detectors (GRID) are a space science mission that employs compact gamma-ray detectors mounted on NanoSats in low Earth orbit (LEO) to monitor the transient gamma-ray sky. Owing to the unpredictability of the time and location
Externí odkaz:
http://arxiv.org/abs/2410.13402
Autor:
Luo, Tingzhang, Liu, Yichao, Liu, Yuanyuan, Zhang, Andi, Wang, Xin, Zhan, Yibing, Tang, Chang, Liu, Leyuan, Chen, Zhe
We introduce a novel task, Generalized Facial Expression Category Discovery (G-FACE), that discovers new, unseen facial expressions while recognizing known categories effectively. Even though there are generalized category discovery methods for natur
Externí odkaz:
http://arxiv.org/abs/2409.20098
Autor:
Kang, Mengtian, Hu, Yansong, Gao, Shuo, Liu, Yuanyuan, Meng, Hongbei, Li, Xuemeng, Chen, Xuhang, Zhao, Hubin, Fu, Jing, Hu, Guohua, Wang, Wei, Dai, Yanning, Nathan, Arokia, Smielewski, Peter, Wang, Ningli, Li, Shiming
Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that detrimentally impact familial well-being and create substantial economic
Externí odkaz:
http://arxiv.org/abs/2407.21467
Autor:
Liu, Yuanyuan, Xie, Jinwen, Cui, Zhuo-Xu, Zhu, Qingyong, Cheng, Jing, Liang, Dong, Zhu, Yanjie
Quantitative T1rho mapping has shown promise in clinical and research studies. However, it suffers from long scan times. Deep learning-based techniques have been successfully applied in accelerated quantitative MR parameter mapping. However, most met
Externí odkaz:
http://arxiv.org/abs/2407.05617
Abnormalities in retinal fundus images may indicate certain pathologies such as diabetic retinopathy, hypertension, stroke, glaucoma, retinal macular edema, venous occlusion, and atherosclerosis, making the study and analysis of retinal images of gre
Externí odkaz:
http://arxiv.org/abs/2405.16235
In Video-based Facial Expression Recognition (V-FER), models are typically trained on closed-set datasets with a fixed number of known classes. However, these models struggle with unknown classes common in real-world scenarios. In this paper, we intr
Externí odkaz:
http://arxiv.org/abs/2404.17100
Hoeffding's inequality is a fundamental tool widely applied in probability theory, statistics, and machine learning. In this paper, we establish Hoeffding's inequalities specifically tailored for an irreducible and positive recurrent continuous-time
Externí odkaz:
http://arxiv.org/abs/2404.14888
Affective computing, which aims to recognize, interpret, and understand human emotions, provides benefits in healthcare, such as improving patient care and enhancing doctor-patient communication. However, there is a noticeable absence of a comprehens
Externí odkaz:
http://arxiv.org/abs/2402.13589
The solution to Poisson's equation arise in many Markov chain and Markov jump process settings, including that of the central limit theorem, value functions for average reward Markov decision processes, and within the gradient formula for equilibrium
Externí odkaz:
http://arxiv.org/abs/2401.15905