Zobrazeno 1 - 10
of 17 479
pro vyhledávání: '"Choi, Jin"'
We present a novel OCR-free document understanding framework based on pretrained Multimodal Large Language Models (MLLMs). Our approach employs multi-scale visual features to effectively handle various font sizes within document images. To address th
Externí odkaz:
http://arxiv.org/abs/2411.05254
Autor:
Gang, Tae Ung, Choi, Jin Hyuk
This paper investigates the optimal investment problem in a market with two types of illiquidity: transaction costs and search frictions. Extending the framework established by arXiv:2101.09936, we analyze a power-utility maximization problem where a
Externí odkaz:
http://arxiv.org/abs/2407.13547
Autor:
Choi, Jin-Woo
Recent progress on deep neural networks has shown remarkable action recognition performance from videos. The remarkable performance is often achieved by transfer learning: training a model on a large-scale labeled dataset (source) and then fine-tunin
Externí odkaz:
http://hdl.handle.net/10919/101780
Securing a sufficient amount of paired data is important to train an image-text retrieval (ITR) model, but collecting paired data is very expensive. To address this issue, in this paper, we propose an active learning algorithm for ITR that can collec
Externí odkaz:
http://arxiv.org/abs/2405.16301
While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between motions with different contents. This challenge lies in the lack of clea
Externí odkaz:
http://arxiv.org/abs/2403.06225
Autor:
Park, Jimyung, You, Seng Chan, Jeong, Eugene, Weng, Chunhua, Park, Dongsu, Roh, Jin, Lee, Dong Yun, Cheong, Jae Youn, Choi, Jin Wook, Kang, Mira, Park, Rae Woong
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 3, p e23983 (2021)
BackgroundAlthough electronic health records (EHRs) have been widely used in secondary assessments, clinical documents are relatively less utilized owing to the lack of standardized clinical text frameworks across different institutions. ObjectiveTh
Externí odkaz:
https://doaj.org/article/4cc31d09aa414d038c967d504301563d
In this paper, we raise a new issue on Unidentified Foreground Object (UFO) detection in 3D point clouds, which is a crucial technology in autonomous driving in the wild. UFO detection is challenging in that existing 3D object detectors encounter ext
Externí odkaz:
http://arxiv.org/abs/2401.03846
In the weakly supervised temporal video grounding study, previous methods use predetermined single Gaussian proposals which lack the ability to express diverse events described by the sentence query. To enhance the expression ability of a proposal, w
Externí odkaz:
http://arxiv.org/abs/2312.16388
Autor:
Kang, Baekjune, Choi, Uksam, Jung, Taek Sun, Noh, Seunghyeon, Kim, Gye-Hyeon, Seo, UiHyeon, Park, Miju, Choi, Jin-Hyun, Kim, Minjae, Ji, GwangCheol, Song, Sehwan, Jo, Hyesung, Hong, Seokjo, Duong, Nguyen Xuan, Kim, Tae Heon, Yang, Yongsoo, Park, Sungkyun, Ok, Jong Mok, Yoo, Jung-Woo, Kim, Jae Hoon, Sohn, Changhee
Two-dimensional honeycomb antiferromagnet becomes an important class of materials as it can provide a route to Kitaev quantum spin liquid, characterized by massive quantum entanglement and fractional excitations. The signatures of its proximity to Ki
Externí odkaz:
http://arxiv.org/abs/2309.15753