Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hao, Xixuan"'
Publikováno v:
ECCV 2024 Workshop
This paper introduces an innovative approach to Medical Vision-Language Pre-training (Med-VLP) area in the specialized context of radiograph representation learning. While conventional methods frequently merge textual annotations into unified reports
Externí odkaz:
http://arxiv.org/abs/2410.00448
Autor:
Zou, Xingchen, Huang, Jiani, Hao, Xixuan, Yang, Yuhao, Wen, Haomin, Yan, Yibo, Huang, Chao, Liang, Yuxuan
Learning effective geospatial embeddings is crucial for a series of geospatial applications such as city analytics and earth monitoring. However, learning comprehensive region representations presents two significant challenges: first, the deficiency
Externí odkaz:
http://arxiv.org/abs/2405.14135
Urbanization challenges underscore the necessity for effective satellite image-text retrieval methods to swiftly access specific information enriched with geographic semantics for urban applications. However, existing methods often overlook significa
Externí odkaz:
http://arxiv.org/abs/2404.14241
Urban region profiling aims to learn a low-dimensional representation of a given urban area while preserving its characteristics, such as demographics, infrastructure, and economic activities, for urban planning and development. However, prevalent pr
Externí odkaz:
http://arxiv.org/abs/2403.16831
Autor:
Zou, Xingchen, Yan, Yibo, Hao, Xixuan, Hu, Yuehong, Wen, Haomin, Liu, Erdong, Zhang, Junbo, Li, Yong, Li, Tianrui, Zheng, Yu, Liang, Yuxuan
Publikováno v:
Inform.Fusion.113(2025)102606
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for sustainable development by harnessing the power of cross-domain data fusion from diverse sources (e.g., geographical, traffic, social media, and environmental data) an
Externí odkaz:
http://arxiv.org/abs/2402.19348
The goal of text spotting is to perform text detection and recognition in an end-to-end manner. Although the diversity of luminosity and orientation in scene texts has been widely studied, the font diversity and shape variance of the same character a
Externí odkaz:
http://arxiv.org/abs/2308.16404
Autor:
Zou, Xingchen, Yan, Yibo, Hao, Xixuan, Hu, Yuehong, Wen, Haomin, Liu, Erdong, Zhang, Junbo, Li, Yong, Li, Tianrui, Zheng, Yu, Liang, Yuxuan
Publikováno v:
In Information Fusion January 2025 113
