Zobrazeno 1 - 10
of 2 690
pro vyhledávání: '"Nguyen, The Nguyen"'
Droplet-based microfluidic devices have substantial promise as cost-effective alternatives to current assessment tools in biological research. Moreover, machine learning models that leverage tabular data, including input design parameters and their c
Externí odkaz:
http://arxiv.org/abs/2411.06691
Autor:
Nguyen, Khoi Nguyen Tiet, Zhang, Wenyu, Lu, Kangkang, Wu, Yuhuan, Zheng, Xingjian, Tan, Hui Li, Zhen, Liangli
Deep learning models excel in various computer vision tasks but are susceptible to adversarial examples-subtle perturbations in input data that lead to incorrect predictions. This vulnerability poses significant risks in safety-critical applications
Externí odkaz:
http://arxiv.org/abs/2408.01934
Transparency in AI healthcare decision-making is crucial for building trust among AI and users. Incorporating reasoning capabilities enables Large Language Models (LLMs) to understand emotions in context, handle nuanced language, and infer unstated s
Externí odkaz:
http://arxiv.org/abs/2407.21054
In doctor-patient conversations, identifying medically relevant information is crucial, posing the need for conversation summarization. In this work, we propose the first deployable real-time speech summarization system for real-world applications in
Externí odkaz:
http://arxiv.org/abs/2406.15888
Autor:
Le-Duc, Khai, Thulke, David, Tran, Hung-Phong, Vo-Dang, Long, Nguyen, Khai-Nguyen, Hy, Truong-Son, Schlüter, Ralf
Spoken Named Entity Recognition (NER) aims to extracting named entities from speech and categorizing them into types like person, location, organization, etc. In this work, we present VietMed-NER - the first spoken NER dataset in the medical domain.
Externí odkaz:
http://arxiv.org/abs/2406.13337
Autor:
Nguyen, Thi Nguyen Khoa, Dairay, Thibault, Meunier, Raphaël, Millet, Christophe, Mougeot, Mathilde
Physics-Informed Neural Networks (PINNs) have gained considerable interest in diverse engineering domains thanks to their capacity to integrate physical laws into deep learning models. Recently, geometry-aware PINN-based approaches that employ the st
Externí odkaz:
http://arxiv.org/abs/2405.03427
Autor:
Astruc, Guillaume, Dufour, Nicolas, Siglidis, Ioannis, Aronssohn, Constantin, Bouia, Nacim, Fu, Stephanie, Loiseau, Romain, Nguyen, Van Nguyen, Raude, Charles, Vincent, Elliot, XU, Lintao, Zhou, Hongyu, Landrieu, Loic
Determining the location of an image anywhere on Earth is a complex visual task, which makes it particularly relevant for evaluating computer vision algorithms. Yet, the absence of standard, large-scale, open-access datasets with reliably localizable
Externí odkaz:
http://arxiv.org/abs/2404.18873
Autor:
Hodan, Tomas, Sundermeyer, Martin, Labbe, Yann, Nguyen, Van Nguyen, Wang, Gu, Brachmann, Eric, Drost, Bertram, Lepetit, Vincent, Rother, Carsten, Matas, Jiri
We present the evaluation methodology, datasets and results of the BOP Challenge 2023, the fifth in a series of public competitions organized to capture the state of the art in model-based 6D object pose estimation from an RGB/RGB-D image and related
Externí odkaz:
http://arxiv.org/abs/2403.09799
We present GigaPose, a fast, robust, and accurate method for CAD-based novel object pose estimation in RGB images. GigaPose first leverages discriminative "templates", rendered images of the CAD models, to recover the out-of-plane rotation and then u
Externí odkaz:
http://arxiv.org/abs/2311.14155
Autor:
Anupam Prasoon, Shaik Ghouse, Nguyen Ngan Nguyen, Hyejung Yang, Alina Müller, Chandrasekhar Naisa, Silvia Paasch, Abdallh Herbawe, Muhannad Al Aiti, Gianaurelio Cuniberti, Eike Brunner, Xinliang Feng
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract The chemistry of the on-water surface, characterized by enhanced reactivity, distinct selectivity, and confined reaction geometry, offers significant potential for chemical and materials syntheses. However, the utilization of on-water surfac
Externí odkaz:
https://doaj.org/article/38b90987e074424797b1b7addc10459e
