Zobrazeno 1 - 10
of 1 850
pro vyhledávání: '"Truong-Thanh"'
Autor:
Sébastien van Delden, Hélène Buvelot, Giorgio Enrico Bravetti, Truong-Thanh Pham, Gabriele Thumann, Horace Massa
Publikováno v:
Journal of Ophthalmic Inflammation and Infection, Vol 14, Iss 1, Pp 1-5 (2024)
Abstract Laser assisted in situ keratomileusis (LASIK) surgery is the leading and most performed refractive surgery nowadays. A possible complication of LASIK surgery is infectious keratitis which can lead to disastrous corneal damage and result in p
Externí odkaz:
https://doaj.org/article/648107f1d24d4db88af877a327cd686f
Publikováno v:
Cleaner Engineering and Technology, Vol 14, Iss , Pp 100635- (2023)
Timber-concrete composite (TCC) structures allow designing efficient building floors in terms of lightness, slenderness, and acoustic insulation. The late development of ductile notch connectors has further advanced TCC structures. This work aims to
Externí odkaz:
https://doaj.org/article/7591120c80c842c3ab8b27e12c244fc1
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including In
Externí odkaz:
http://arxiv.org/abs/2409.15243
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
The Vision-Language Foundation Model has recently shown outstanding performance in various perception learning tasks. The outstanding performance of the vision-language model mainly relies on large-scale pre-training datasets and different data augme
Externí odkaz:
http://arxiv.org/abs/2406.01432
Autor:
Truong, Thanh-Dat, Prabhu, Utsav, Wang, Dongyi, Raj, Bhiksha, Gauch, Susan, Subbiah, Jeyamkondan, Luu, Khoa
Unsupervised Domain Adaptation has been an efficient approach to transferring the semantic segmentation model across data distributions. Meanwhile, the recent Open-vocabulary Semantic Scene understanding based on large-scale vision language models is
Externí odkaz:
http://arxiv.org/abs/2406.01429
Action recognition has become one of the popular research topics in computer vision. There are various methods based on Convolutional Networks and self-attention mechanisms as Transformers to solve both spatial and temporal dimensions problems of act
Externí odkaz:
http://arxiv.org/abs/2405.01337
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:
Nguyen, Truong Thanh Hung, Clement, Tobias, Nguyen, Phuc Truong Loc, Kemmerzell, Nils, Truong, Van Binh, Nguyen, Vo Thanh Khang, Abdelaal, Mohamed, Cao, Hung
LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite XAI advancements, an understanding gap persists for end-users with lim
Externí odkaz:
http://arxiv.org/abs/2402.12525
Autor:
Ngo, Dinh An, Nguyen, Thanh Dat, Dang, Thi Le Chi, Le, Huy Hoan, Ho, Ton Bao, Nguyen, Vo Thanh Khang, Nguyen, Truong Thanh Hung
Cheating in online exams has become a prevalent issue over the past decade, especially during the COVID-19 pandemic. To address this issue of academic dishonesty, our "Exam Monitoring System: Detecting Abnormal Behavior in Online Examinations" is des
Externí odkaz:
http://arxiv.org/abs/2402.12179