Zobrazeno 1 - 10
of 3 616
pro vyhledávání: '"Nguyen, Khanh"'
Autor:
Sharma, Vidushi, Tek, Andy, Nguyen, Khanh, Giammona, Max, Zohair, Murtaza, Sundberg, Linda, La, Young-Hye
Higher loading of active electrode materials is desired in batteries, especially those based on conversion reactions, for enhanced energy density and cost efficiency. However, increasing active material loading in electrodes can cause significant per
Externí odkaz:
http://arxiv.org/abs/2409.01989
Autor:
Nguyen, Khanh-Binh, Park, Chae Jung
Masked Image Modeling (MIM) is a technique in self-supervised learning that focuses on acquiring detailed visual representations from unlabeled images by estimating the missing pixels in randomly masked sections. It has proven to be a powerful tool f
Externí odkaz:
http://arxiv.org/abs/2408.12772
Osteoarthritis (OA) is the most common musculoskeletal disease, which has no cure. Knee OA (KOA) is one of the highest causes of disability worldwide, and it costs billions of United States dollars to the global community. Prediction of KOA progressi
Externí odkaz:
http://arxiv.org/abs/2408.02349
Autor:
Nguyen, Khanh-Binh, Park, Chae Jung
The primary aim of Audio-Visual Segmentation (AVS) is to precisely identify and locate auditory elements within visual scenes by accurately predicting segmentation masks at the pixel level. Achieving this involves comprehensively considering data and
Externí odkaz:
http://arxiv.org/abs/2407.02004
Autor:
Nguyen, Khanh Duy, Lee, Woojoo, Dang, Jianchen, Wu, Tongyao, Berruto, Gabriele, Yan, Chenhui, Ip, Chi Ian Jess, Lin, Haoran, Gao, Qiang, Lee, Seng Huat, Yan, Binghai, Liu, Chaoxing, Mao, Zhiqiang, Zhang, Xiao-Xiao, Yang, Shuolong
The indirect exchange interaction between local magnetic moments via surface electrons has been long predicted to bolster the surface ferromagnetism in magnetic topological insulators (MTIs), which facilitates the quantum anomalous Hall effect. This
Externí odkaz:
http://arxiv.org/abs/2407.00281
Autor:
Nguyen, Khanh-Binh, Park, Chae Jung
Self-supervised learning (SSL) is gaining attention for its ability to learn effective representations with large amounts of unlabeled data. Lightweight models can be distilled from larger self-supervised pre-trained models using contrastive and cons
Externí odkaz:
http://arxiv.org/abs/2405.15311
Autor:
Nguyen, Khanh, Karatzas, Dimosthenis
An important handicap of document analysis research is that documents tend to be copyrighted or contain private information, which prohibits their open publication and the creation of centralised, large-scale document datasets. Instead, documents are
Externí odkaz:
http://arxiv.org/abs/2405.06636
Autor:
Lahti, Panu, Nguyen, Khanh
In this paper, we study the existence of limits at infinity along almost every infinite curve for the upper and lower approximate limits of bounded variation functions on complete unbounded metric measure spaces. We prove that if the measure is doubl
Externí odkaz:
http://arxiv.org/abs/2404.09489
This paper addresses the challenge of leveraging imperfect language models to guide human decision-making in the context of a grounded navigation task. We show that an imperfect instruction generation model can be complemented with an effective commu
Externí odkaz:
http://arxiv.org/abs/2402.16973
This paper presents a comprehensive overview of the Comparative Opinion Mining from Vietnamese Product Reviews shared task (ComOM), held as part of the 10$^{th}$ International Workshop on Vietnamese Language and Speech Processing (VLSP 2023). The pri
Externí odkaz:
http://arxiv.org/abs/2402.13613