Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Xue, Wanli"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2762-2769 (2024)
Effective representation of visual feature extraction is the key to improving continuous sign language recognition performance. However, the differences in the temporal length of sign language actions and the sign language weak annotation problem mak
Externí odkaz:
https://doaj.org/article/3ae151fda5e2460980a6b34e3383398c
Continuous sign language recognition (CSLR) aims to promote active and accessible communication for the hearing impaired, by recognizing signs in untrimmed sign language videos to textual glosses sequentially. The key challenge of CSLR is how to achi
Externí odkaz:
http://arxiv.org/abs/2305.03614
Autor:
Ren, Xuhong, Chen, Jianlang, Juefei-Xu, Felix, Xue, Wanli, Guo, Qing, Ma, Lei, Zhao, Jianjun, Chen, Shengyong
Network architecture search (NAS), in particular the differentiable architecture search (DARTS) method, has shown a great power to learn excellent model architectures on the specific dataset of interest. In contrast to using a fixed dataset, in this
Externí odkaz:
http://arxiv.org/abs/2209.10381
Publikováno v:
In Information Fusion September 2024 109
Publikováno v:
In Pattern Recognition December 2024 156
Online updating of the object model via samples from historical frames is of great importance for accurate visual object tracking. Recent works mainly focus on constructing effective and efficient updating methods while neglecting the training sample
Externí odkaz:
http://arxiv.org/abs/2104.11585
The adaptive traffic signal control (ATSC) problem can be modeled as a multiagent cooperative game among urban intersections, where intersections cooperate to optimize their common goal. Recently, reinforcement learning (RL) has achieved marked succe
Externí odkaz:
http://arxiv.org/abs/2104.10917
Autor:
Shen, Cheng, Xue, Wanli
While the Internet of Things (IoT) can benefit from machine learning by outsourcing model training on the cloud, user data exposure to an untrusted cloud service provider can pose threat to user privacy. Recently, federated learning is proposed as an
Externí odkaz:
http://arxiv.org/abs/2103.10579
Autor:
Ahmed, Nadeem, Michelin, Regio A., Xue, Wanli, Putra, Guntur Dharma, Ruj, Sushmita, Kanhere, Salil S., Jha, Sanjay
The infection rate of COVID-19 and lack of an approved vaccine has forced governments and health authorities to adopt lockdowns, increased testing, and contact tracing to reduce the spread of the virus. Digital contact tracing has become a supplement
Externí odkaz:
http://arxiv.org/abs/2103.05873
Autor:
Xu, Weitao, Li, Zhenjiang, Xue, Wanli, Yu, Xiaotong, Wei, Bo, Wang, Jia, Luo, Chengwen, Li, Wei, Zomaya, Albert Y.
Secure Device-to-Device (D2D) communication is becoming increasingly important with the ever-growing number of Internet-of-Things (IoT) devices in our daily life. To achieve secure D2D communication, the key agreement between different IoT devices wi
Externí odkaz:
http://arxiv.org/abs/2102.10908