Zobrazeno 1 - 10
of 716
pro vyhledávání: '"Zhai, Peng"'
Autor:
Sun, Mingyang, Kou, Dongliang, Yuan, Ruisheng, Yang, Dingkang, Zhai, Peng, Zhao, Xiao, Jiang, Yang, Li, Xiong, Li, Jingchen, Zhang, Lihua
In virtual Hand-Object Interaction (HOI) scenarios, the authenticity of the hand's deformation is important to immersive experience, such as natural manipulation or tactile feedback. Unrealistic deformation arises from simplified hand geometry, negle
Externí odkaz:
http://arxiv.org/abs/2409.05143
Context-aware emotion recognition (CAER) is a complex and significant task that requires perceiving emotions from various contextual cues. Previous approaches primarily focus on designing sophisticated architectures to extract emotional cues from ima
Externí odkaz:
http://arxiv.org/abs/2407.11300
Understanding human intentions (e.g., emotions) from videos has received considerable attention recently. Video streams generally constitute a blend of temporal data stemming from distinct modalities, including natural language, facial expressions, a
Externí odkaz:
http://arxiv.org/abs/2407.04955
Autor:
Yang, Dingkang, Wei, Jinjie, Xiao, Dongling, Wang, Shunli, Wu, Tong, Li, Gang, Li, Mingcheng, Wang, Shuaibing, Chen, Jiawei, Jiang, Yue, Xu, Qingyao, Li, Ke, Zhai, Peng, Zhang, Lihua
Developing intelligent pediatric consultation systems offers promising prospects for improving diagnostic efficiency, especially in China, where healthcare resources are scarce. Despite recent advances in Large Language Models (LLMs) for Chinese medi
Externí odkaz:
http://arxiv.org/abs/2405.19266
Autor:
Yang, Dingkang, Li, Mingcheng, Xiao, Dongling, Liu, Yang, Yang, Kun, Chen, Zhaoyu, Wang, Yuzheng, Zhai, Peng, Li, Ke, Zhang, Lihua
Multimodal Sentiment Analysis (MSA) aims to understand human intentions by integrating emotion-related clues from diverse modalities, such as visual, language, and audio. Unfortunately, the current MSA task invariably suffers from unplanned dataset b
Externí odkaz:
http://arxiv.org/abs/2403.05023
Electric quadruped robots used in outdoor exploration are susceptible to leg-related electrical or mechanical failures. Unexpected joint power loss and joint locking can immediately pose a falling threat. Typically, controllers lack the capability to
Externí odkaz:
http://arxiv.org/abs/2402.08996
Autor:
Wang, Shunli, Yu, Qing, Wang, Shuaibing, Yang, Dingkang, Su, Liuzhen, Zhao, Xiao, Kuang, Haopeng, Zhang, Peixuan, Zhai, Peng, Zhang, Lihua
The fine-grained medical action analysis task has received considerable attention from pattern recognition communities recently, but it faces the problems of data and algorithm shortage. Cardiopulmonary Resuscitation (CPR) is an essential skill in em
Externí odkaz:
http://arxiv.org/abs/2309.11718
Autor:
Yang, Dingkang, Huang, Shuai, Xu, Zhi, Li, Zhenpeng, Wang, Shunli, Li, Mingcheng, Wang, Yuzheng, Liu, Yang, Yang, Kun, Chen, Zhaoyu, Wang, Yan, Liu, Jing, Zhang, Peixuan, Zhai, Peng, Zhang, Lihua
Driver distraction has become a significant cause of severe traffic accidents over the past decade. Despite the growing development of vision-driven driver monitoring systems, the lack of comprehensive perception datasets restricts road safety and tr
Externí odkaz:
http://arxiv.org/abs/2307.13933
Autor:
Yang, Dingkang, Chen, Zhaoyu, Wang, Yuzheng, Wang, Shunli, Li, Mingcheng, Liu, Siao, Zhao, Xiao, Huang, Shuai, Dong, Zhiyan, Zhai, Peng, Zhang, Lihua
Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that aims to perceive the emotional states of the target person with contextual information. Recent approaches invariably focus on designing sophisticated architectures or mec
Externí odkaz:
http://arxiv.org/abs/2303.11921
Autor:
Wang, Shunli, Wang, Shuaibing, Jiao, Bo, Yang, Dingkang, Su, Liuzhen, Zhai, Peng, Chen, Chixiao, Zhang, Lihua
Reliable and stable 6D pose estimation of uncooperative space objects plays an essential role in on-orbit servicing and debris removal missions. Considering that the pose estimator is sensitive to background interference, this paper proposes a counte
Externí odkaz:
http://arxiv.org/abs/2207.07869