Chia-Yu Hsu
Orcid: 0000-0002-8923-1213Affiliations:
- Arizona State University, School of Geographical Sciences and Urban Planning, Spatial Analysis Research Center (SPARC), Tempe, AZ, USA
According to our database1,
Chia-Yu Hsu
authored at least 21 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings.
CoRR, June, 2025
A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw.
CoRR, April, 2025
STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
2024
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.
Remote. Sens., March, 2024
Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges.
Remote. Sens., 2024
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications.
CoRR, 2024
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability.
CoRR, 2024
CoRR, 2024
2023
Correction to: GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning.
GeoInformatica, July, 2023
GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning.
GeoInformatica, July, 2023
Explainable GeoAI: can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection.
Int. J. Geogr. Inf. Sci., 2023
Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping.
CoRR, 2023
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features.
CoRR, 2023
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023
2022
GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography.
ISPRS Int. J. Geo Inf., 2022
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022
2021
Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection.
Remote. Sens., 2021
2020
Automated terrain feature identification from remote sensing imagery: a deep learning approach.
Int. J. Geogr. Inf. Sci., 2020
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2017
Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection.
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, 2017