Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Tran, Thien P."'
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:
Sy Duong-Quy, Duc Huynh-Truong-Anh, Tram Tang-Thi-Thao, Thu Nguyen-Ngoc-Phuong, Phung Hoang-Phi-Tuyet, Anh Nguyen-Tuan, Toi Nguyen-Van, Thanh Nguyen-Chi, Thanh Nguyen-Thi-Kim, Tien Nguyen-Quang, Thuy Tran-Ngoc-Anh, Nam Nguyen-Van-Hoai, Mai Do-Thi-Thu, Huong Hoang-Thi-Xuan, Thai Nguyen-Duy, Cong Nguyen-Hai, Tuan Huynh-Anh, Quan Vu-Tran-Thien, Khue Bui-Diem, Giang Nguyen-Mong, Hieu Nguyen-Lan, Giap Vu-Van, Phuong Phan-Thu, Long Nguyen-Viet, Chuong Nguyen-Hong, Sy Dinh-Ngoc, Trong Nguyen-Duc, Dung Truong-Viet, Thu Vo-Pham-Minh, Bao Le-Khac, Duc Nguyen-Hong, Timothy Craig, Vinh Nguyen-Nhu
Publikováno v:
Pulmonary Therapy, Vol 10, Iss 4, Pp 451-468 (2024)
Abstract Introduction Most hospitalized patients required invasive or non-invasive ventilation and High Flow Nasal Cannula (HFNC). Therefore, this study was conducted to describe the characteristics of patients with severe Coronavirus Disease—2019
Externí odkaz:
https://doaj.org/article/101fa133285c4fe4abebde51d288a3e6
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