Zobrazeno 1 - 10
of 1 367
pro vyhledávání: '"Tran, Thien"'
Engineering Properties, Hydration Kinetics, and Carbon Capture in Sustainable Construction Materials
Autor:
Tran, Thien Quoc
Concrete, the second most consumed material on earth after water, is a source of environmental problems due to global urbanization. The production of this construction material requires a large amount of natural resources, and portland cement (PC) is
Externí odkaz:
https://hdl.handle.net/10919/117246
Publikováno v:
IEEE Transactions on Signal Processing, vol. 72, 2024, pp. 4888-4917
This article presents the Labeled Random Finite Set (LRFS) framework for multi-object systems-systems in which the number of objects and their states are unknown and vary randomly with time. In particular, we focus on state and trajectory estimation
Externí odkaz:
http://arxiv.org/abs/2409.18531
API testing has increasing demands for software companies. Prior API testing tools were aware of certain types of dependencies that needed to be concise between operations and parameters. However, their approaches, which are mostly done manually or u
Externí odkaz:
http://arxiv.org/abs/2407.10227
Autor:
Van Ma, Linh, Nguyen, Tran Thien Dat, Shim, Changbeom, Kim, Du Yong, Ha, Namkoo, Jeon, Moongu
Publikováno v:
Volume 156 , December 2024, 110785, Pattern Recognition
This paper proposes an online visual multi-object tracking (MOT) algorithm that resolves object appearance-reappearance and occlusion. Our solution is based on the labeled random finite set (LRFS) filtering approach, which in principle, addresses dis
Externí odkaz:
http://arxiv.org/abs/2407.08872
We propose a 3D multi-object tracking (MOT) solution using only 2D detections from monocular cameras, which automatically initiates/terminates tracks as well as resolves track appearance-reappearance and occlusions. Moreover, this approach does not r
Externí odkaz:
http://arxiv.org/abs/2405.18606
Safety and trustworthiness are indispensable requirements for real-world applications of AI systems using large language models (LLMs). This paper formulates human value alignment as an optimization problem of the language model policy to maximize re
Externí odkaz:
http://arxiv.org/abs/2404.11049
This paper proposes a smooth-trajectory estimator for the labelled multi-Bernoulli (LMB) filter by exploiting the special structure of the generalised labelled multi-Bernoulli (GLMB) filter. We devise a simple and intuitive approach to store the best
Externí odkaz:
http://arxiv.org/abs/2401.00682
Autor:
Lee, Ji Youn, Shim, Changbeom, Van Nguyen, Hoa, Nguyen, Tran Thien Dat, Choi, Hyunjin, Kim, Youngho
Estimating the trajectories of multi-objects poses a significant challenge due to data association ambiguity, which leads to a substantial increase in computational requirements. To address such problems, a divide-and-conquer manner has been employed
Externí odkaz:
http://arxiv.org/abs/2310.14506
Autor:
Le, Trung-Nghia, Nguyen, Tam V., Le, Minh-Quan, Nguyen, Trong-Thuan, Huynh, Viet-Tham, Do, Trong-Le, Le, Khanh-Duy, Tran, Mai-Khiem, Hoang-Xuan, Nhat, Nguyen-Ho, Thang-Long, Nguyen, Vinh-Tiep, Le-Pham, Nhat-Quynh, Pham, Huu-Phuc, Hoang, Trong-Vu, Nguyen, Quang-Binh, Nguyen-Mau, Trong-Hieu, Huynh, Tuan-Luc, Le, Thanh-Danh, Nguyen-Ha, Ngoc-Linh, Truong-Thuy, Tuong-Vy, Phong, Truong Hoai, Diep, Tuong-Nghiem, Ho, Khanh-Duy, Nguyen, Xuan-Hieu, Tran, Thien-Phuc, Yang, Tuan-Anh, Tran, Kim-Phat, Hoang, Nhu-Vinh, Nguyen, Minh-Quang, Vo, Hoai-Danh, Doan, Minh-Hoa, Nguyen, Hai-Dang, Sugimoto, Akihiro, Tran, Minh-Triet
The retrieval of 3D objects has gained significant importance in recent years due to its broad range of applications in computer vision, computer graphics, virtual reality, and augmented reality. However, the retrieval of 3D objects presents signific
Externí odkaz:
http://arxiv.org/abs/2304.05731
Autor:
Le, Trung-Nghia, Nguyen, Tam V., Le, Minh-Quan, Nguyen, Trong-Thuan, Huynh, Viet-Tham, Do, Trong-Le, Le, Khanh-Duy, Tran, Mai-Khiem, Hoang-Xuan, Nhat, Nguyen-Ho, Thang-Long, Nguyen, Vinh-Tiep, Diep, Tuong-Nghiem, Ho, Khanh-Duy, Nguyen, Xuan-Hieu, Tran, Thien-Phuc, Yang, Tuan-Anh, Tran, Kim-Phat, Hoang, Nhu-Vinh, Nguyen, Minh-Quang, Nguyen, E-Ro, Nguyen-Nhat, Minh-Khoi, To, Tuan-An, Huynh-Le, Trung-Truc, Nguyen, Nham-Tan, Luong, Hoang-Chau, Phong, Truong Hoai, Le-Pham, Nhat-Quynh, Pham, Huu-Phuc, Hoang, Trong-Vu, Nguyen, Quang-Binh, Nguyen, Hai-Dang, Sugimoto, Akihiro, Tran, Minh-Triet
3D object retrieval is an important yet challenging task that has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and ske
Externí odkaz:
http://arxiv.org/abs/2304.06053