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Chia-Yu Hsu
Chia-Yu Hsu
在 asu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Automated terrain feature identification from remote sensing imagery: a deep learning approach
W Li, CY Hsu
International Journal of Geographical Information Science 34 (4), 637-660, 2020
1152020
Tobler’s First Law in GeoAI: A spatially explicit deep learning model for terrain feature detection under weak supervision
W Li, CY Hsu, M Hu
Annals of the American Association of Geographers 111 (7), 1887-1905, 2021
542021
GeoAI for large-scale image analysis and machine vision: Recent progress of artificial intelligence in geography
W Li, CY Hsu
ISPRS International Journal of Geo-Information 11 (7), 385, 2022
492022
Recognizing terrain features on terrestrial surface using a deep learning model: An example with crater detection
W Li, B Zhou, CY Hsu, Y Li, F Ren
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning …, 2017
472017
Knowledge-driven GeoAI: Integrating spatial knowledge into multi-scale deep learning for Mars Crater detection
CY Hsu, W Li, S Wang
Remote Sensing 13 (11), 2116, 2021
382021
Explainable GeoAI: can saliency maps help interpret artificial intelligence’s learning process? An empirical study on natural feature detection
CY Hsu, W Li
International Journal of Geographical Information Science 37 (5), 963-987, 2023
242023
GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning
W Li, S Wang, ST Arundel, CY Hsu
GeoInformatica 27 (3), 619-640, 2023
132023
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection
CY Hsu, W Li
31st British Machine Vision Conference 2020, BMVC 2020, 2020
92020
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons
W Li, CY Hsu, S Wang, C Witharana, A Liljedahl
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for …, 2022
72022
Assessment of a new GeoAI foundation model for flood inundation mapping
W Li, H Lee, S Wang, CY Hsu, ST Arundel
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for …, 2023
6*2023
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping
W Li, CY Hsu, S Wang, Y Yang, H Lee, A Liljedahl, C Witharana, Y Yang, ...
Remote Sensing 16 (5), 797, 2024
22024
Advancing Arctic sea ice remote sensing with AI and deep learning: now and future
W Li, CY Hsu, M Tedesco
EGUsphere 2024, 1-36, 2024
12024
GeoAI Reproducibility and Replicability: a computational and spatial perspective
W Lia, CY Hsu, S Wang, P Kedron
arXiv preprint arXiv:2404.10108, 2024
2024
A Multi-Scale Vision Transformer-Based Multimodal Geoai Model for Mapping Arctic Permafrost Thaw
Z Gu, W Li, CY Hsu, S Wang, Y Yang, BM Rogers, A Liljedahl
Available at SSRN 4762408, 0
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