Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Dinh Tuan Tran"'
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 1-9 (2024)
To enable machines to understand human-centric images and videos, they need the capability to detect human–object interactions. This capability has been studied using various approaches, but previous research has mainly focused only on recognition
Externí odkaz:
https://doaj.org/article/ede424517c3243ac8869b5d653634c79
Autor:
Khac Duy Nguyen, Dinh Tuan Tran, van Quyen Pham, Dinh Tuan Nguyen, Katsumi Inoue, Joo-Ho Lee, Anh Quang Nguyen
Publikováno v:
IEEE Access, Vol 12, Pp 109943-109956 (2024)
In recent years, deep learning methodologies have been increasingly applied to the intricate challenges of visual-inertial odometry (VIO), especially in scenarios with rapid movements and scenes lacking clear structure. This paper introduces a novel
Externí odkaz:
https://doaj.org/article/412c36b9f99b4b2aa138b48ac49600af
Publikováno v:
IEEE Access, Vol 11, Pp 94691-94704 (2023)
Graph Convolutional Networks (GCNs) have gained widespread adoption in modeling human skeleton sequences for two-person interaction recognition. Most GCN-based models achieve state-of-the-art results by leveraging either intra-body or inter-body conn
Externí odkaz:
https://doaj.org/article/18289d63463040f7bc1f1f5daf693974
Autor:
Dinh Tuan Tran, Dung Duc Tran, Minh Anh Nguyen, Quyen Van Pham, Nobutaka Shimada, Joo-Ho Lee, Anh Quang Nguyen
Publikováno v:
IEEE Access, Vol 11, Pp 64170-64184 (2023)
3D object detection and localization based on only a monocular camera always faces its fundamental ill-posed issue to estimate 3D information. In combination with deep neural networks, recent researches have shown encouraging results to tackle this i
Externí odkaz:
https://doaj.org/article/3bfa55f5e3fe4f889a4109d8d21fee29
Publikováno v:
IEEE Access, Vol 10, Pp 77668-77678 (2022)
Traditional models for various machine learning problems such as image classification perform well only under the assumption of a closed set. This implies that inputs must belong to the classes for which the models were trained. Data collected in the
Externí odkaz:
https://doaj.org/article/1cb9283901fe4afc98a035bede40cd68
Publikováno v:
Drones, Vol 7, Iss 5, p 307 (2023)
Night security is known for its long hours and heavy tasks. In Japan, a labor shortage of security guards has become an issue in recent years. To solve these problems, an increasing number of robotic security methods are being used. However, several
Externí odkaz:
https://doaj.org/article/83e7769875914c0a80e6c92df3c9f839
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
As the elderly population increases, the importance of the caregiver’s role in the quality of life of the elderly has increased. To achieve effective feedback in terms of care and nursing education, it is important to design a robot that can expres
Externí odkaz:
https://doaj.org/article/1e4442055c504f109f4028c721df6f8c
Publikováno v:
Robotics, Vol 11, Iss 1, p 19 (2022)
In a wearable robot arm, the minimum joint configuration and link length must be considered to avoid increasing the burden on the user. This work investigated how the joint configuration, length of arm links, and mounting position of a wearable robot
Externí odkaz:
https://doaj.org/article/7421f69842c54d39b5184a8d7fd0d783
Publikováno v:
International Journal of Biomedical Imaging, Vol 2017 (2017)
In this paper, we present robust methods for automatically segmenting phases in a specified surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) approaches. More specifically, our goal is to output an appropriate
Externí odkaz:
https://doaj.org/article/f0fe6216a70f4214a49a502dad27388e
Autor:
null Lý Hùng, null Trần Quang Phát, null Phạm Văn Tú, null Bùi Đình Phong, null Nguyễn Huyền Nga, Dinh Tuan Tran
Publikováno v:
Journal of Military Science and Technology. :100-104
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