Zobrazeno 1 - 10
of 3 561
pro vyhledávání: '"Nguyen, Truong An"'
Recent advancements in deep learning have significantly improved visual quality inspection and predictive maintenance within industrial settings. However, deploying these technologies on low-resource edge devices poses substantial challenges due to t
Externí odkaz:
http://arxiv.org/abs/2407.11771
In this paper, we propose a deep learning based system for the task of deepfake audio detection. In particular, the draw input audio is first transformed into various spectrograms using three transformation methods of Short-time Fourier Transform (ST
Externí odkaz:
http://arxiv.org/abs/2407.01777
This study focuses on MEC-enhanced, vehicle-based crowdsensing systems that rely on devices installed on automobiles. We investigate an opportunistic communication paradigm in which devices can transmit measured data directly to a crowdsensing server
Externí odkaz:
http://arxiv.org/abs/2405.01057
Autor:
Nguyen, Trung Thanh, Nguyen, Truong Thao, Nguyen, Dinh Tuan Anh, Nguyen, Thanh Hung, Nguyen, Phi Le
We focus on real-time air quality monitoring systems that rely on devices installed on automobiles in this research. We investigate an opportunistic communication model in which devices can send the measured data directly to the air quality server th
Externí odkaz:
http://arxiv.org/abs/2405.01609
Autor:
Nguyen, Quoc Khanh, Nguyen, Truong Thanh Hung, Nguyen, Vo Thanh Khang, Truong, Van Binh, Phan, Tuong, Cao, Hung
To address the challenges of providing quick and plausible explanations in Explainable AI (XAI) for object detection models, we introduce the Gaussian Class Activation Mapping Explainer (G-CAME). Our method efficiently generates concise saliency maps
Externí odkaz:
http://arxiv.org/abs/2404.13417
Autor:
Al-Battal, Abdullah F., Duong, Soan T. M., Tang, Van Ha, Tran, Quang Duc, Truong, Steven Q. H., Phan, Chien, Nguyen, Truong Q., An, Cheolhong
Multi-phase computed tomography (CT) scans use contrast agents to highlight different anatomical structures within the body to improve the probability of identifying and detecting anatomical structures of interest and abnormalities such as liver lesi
Externí odkaz:
http://arxiv.org/abs/2404.11152
Autor:
Nguyen-Truong, Hai, Nguyen, E-Ro, Vu, Tuan-Anh, Tran, Minh-Triet, Hua, Binh-Son, Yeung, Sai-Kit
Referring image segmentation is a challenging task that involves generating pixel-wise segmentation masks based on natural language descriptions. Existing methods have relied mostly on visual features to generate the segmentation masks while treating
Externí odkaz:
http://arxiv.org/abs/2404.08590
Current monocular 3D scene reconstruction (3DR) works are either fully-supervised, or not generalizable, or implicit in 3D representation. We propose a novel framework - MonoSelfRecon that for the first time achieves explicit 3D mesh reconstruction f
Externí odkaz:
http://arxiv.org/abs/2404.06753
Facial action unit (AU) intensity plays a pivotal role in quantifying fine-grained expression behaviors, which is an effective condition for facial expression manipulation. However, publicly available datasets containing intensity annotations for mul
Externí odkaz:
http://arxiv.org/abs/2404.05063
Fault localization is a critical process that involves identifying specific program elements responsible for program failures. Manually pinpointing these elements, such as classes, methods, or statements, which are associated with a fault is laboriou
Externí odkaz:
http://arxiv.org/abs/2403.10507