Zobrazeno 1 - 10
of 8 091
pro vyhledávání: '"Nguyen, A. Minh"'
Autor:
Yuan, Shenghai, Lou, Boyang, Nguyen, Thien-Minh, Yin, Pengyu, Cao, Muqing, Xu, Xinghang, Li, Jianping, Xu, Jie, Chen, Siyu, Xie, Lihua
Ultra-wideband (UWB) is gaining popularity with devices like AirTags for precise home item localization but faces significant challenges when scaled to large environments like seaports. The main challenges are calibration and localization in obstruct
Externí odkaz:
http://arxiv.org/abs/2412.16880
Despite remarkable progress in knowledge transfer across visual and textual domains, extending these achievements to indoor localization, particularly for learning transferable representations among Received Signal Strength (RSS) fingerprint datasets
Externí odkaz:
http://arxiv.org/abs/2412.12189
We propose iMoT, an innovative Transformer-based inertial odometry method that retrieves cross-modal information from motion and rotation modalities for accurate positional estimation. Unlike prior work, during the encoding of the motion context, we
Externí odkaz:
http://arxiv.org/abs/2412.12190
In this paper, we propose ZeFaV - a zero-shot based fact-checking verification framework to enhance the performance on fact verification task of large language models by leveraging the in-context learning ability of large language models to extract t
Externí odkaz:
http://arxiv.org/abs/2411.11247
Autor:
Nguyen, Tri Minh, Tawfik, Sherif Abdulkader, Tran, Truyen, Gupta, Sunil, Rana, Santu, Venkatesh, Svetha
Discovering new solid-state materials requires rapidly exploring the vast space of crystal structures and locating stable regions. Generating stable materials with desired properties and compositions is extremely difficult as we search for very small
Externí odkaz:
http://arxiv.org/abs/2411.04323
Autor:
Nguyen, Hai-Long, Nguyen, Tan-Minh, Nguyen, Duc-Minh, Vuong, Thi-Hai-Yen, Nguyen, Ha-Thanh, Phan, Xuan-Hieu
Statutory law retrieval is a typical problem in legal language processing, that has various practical applications in law engineering. Modern deep learning-based retrieval methods have achieved significant results for this problem. However, retrieval
Externí odkaz:
http://arxiv.org/abs/2410.12154
Autor:
Vo, Thieu N., Tran, Viet-Hoang, Huu, Tho Tran, The, An Nguyen, Tran, Thanh, Nguyen-Nhat, Minh-Khoi, Pham, Duy-Tung, Nguyen, Tan Minh
Neural Functional Networks (NFNs) have gained increasing interest due to their wide range of applications, including extracting information from implicit representations of data, editing network weights, and evaluating policies. A key design principl
Externí odkaz:
http://arxiv.org/abs/2410.04213
Autor:
Tran, Viet-Hoang, Vo, Thieu N., The, An Nguyen, Huu, Tho Tran, Nguyen-Nhat, Minh-Khoi, Tran, Thanh, Pham, Duy-Tung, Nguyen, Tan Minh
This paper systematically explores neural functional networks (NFN) for transformer architectures. NFN are specialized neural networks that treat the weights, gradients, or sparsity patterns of a deep neural network (DNN) as input data and have prove
Externí odkaz:
http://arxiv.org/abs/2410.04209
Continuous-time trajectory representation has gained significant popularity in recent years, as it offers an elegant formulation that allows the fusion of a larger number of sensors and sensing modalities, overcoming limitations of traditional discre
Externí odkaz:
http://arxiv.org/abs/2410.22931
Autor:
Jin, Tongxing, Nguyen, Thien-Minh, Xu, Xinhang, Yang, Yizhuo, Yuan, Shenghai, Li, Jianping, Xie, Lihua
Loop closure is an important task in robot navigation. However, existing methods mostly rely on some implicit or heuristic features of the environment, which can still fail to work in common environments such as corridors, tunnels, and warehouses. In
Externí odkaz:
http://arxiv.org/abs/2410.15869