- Anthony C. Robinson, Arzu Çöltekin, Amy L. Griffin, Florian Ledermann:
Cartography in GeoAI: Emerging Themes and Research Challenges. GeoAI@SIGSPATIAL 2023: 1-2 - Girisha S, Hrishikesh Singh Yadav, Divyanshu Manawat, Savitha G., Shreesha Surathkal:
Self-Attention Driven Decoder for SAR Image-based Semantic Flood Zone Segmentation. GeoAI@SIGSPATIAL 2023: 14-19 - Xue Xia, Chenjing Jiao, Lorenz Hurni:
Contrastive Pretraining for Railway Detection: Unveiling Historical Maps with Transformers. GeoAI@SIGSPATIAL 2023: 30-33 - Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - 2022
- Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Chandi Witharana, Anna Liljedahl:
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons. GeoAI@SIGSPATIAL 2022: 62-65 - Mohammad Abboud, Karine Zeitouni, Yehia Taher:
Fine-grained location prediction of non geo-tagged tweets: a multi-view learning approach. GeoAI@SIGSPATIAL 2022: 82-91 - Orhun Aydin, Carlos Osorio-Murillo, Cheng-Chia Huang:
Density-based cluster detection at multiple spatial scales via kullback-leibler divergence of reachability profiles. GeoAI@SIGSPATIAL 2022: 66-75 - Kacper Lesniara, Piotr Szymanski:
highway2vec: representing OpenStreetMap microregions with respect to their road network characteristics. GeoAI@SIGSPATIAL 2022: 18-29 - Peng Luo, Di Zhu:
Sensing overlapping geospatial communities from human movements using graph affiliation generation models. GeoAI@SIGSPATIAL 2022: 1-9 - Min Namgung, Yao-Yi Chiang:
Incorporating spatial context for post-OCR in map images. GeoAI@SIGSPATIAL 2022: 14-17 - João Daniel Silva, João Magalhães, Devis Tuia, Bruno Martins:
Remote sensing visual question answering with a self-attention multi-modal encoder. GeoAI@SIGSPATIAL 2022: 40-49 - Jun Tang, Haoxiang Zhang, Binjie Zhang, Jiahui Jin, Yan Lyu:
SPEMI: normalizing spatial imbalance with spatial eminence transformer for citywide region embedding. GeoAI@SIGSPATIAL 2022: 92-95 - Yi Wang, Di Zhu:
SHGCN: a hypergraph-based deep learning model for spatiotemporal traffic flow prediction. GeoAI@SIGSPATIAL 2022: 30-39 - Meiliu Wu, Qunying Huang:
IM2City: image geo-localization via multi-modal learning. GeoAI@SIGSPATIAL 2022: 50-61 - Sidi Wu, Raimund Schnürer, Magnus Heitzler, Lorenz Hurni:
Unsupervised historical map registration by a deformation neural network. GeoAI@SIGSPATIAL 2022: 76-81 - Di Zhu, Song Gao, Guofeng Cao:
Towards the intelligent era of spatial analysis and modeling. GeoAI@SIGSPATIAL 2022: 10-13 - Dalton D. Lunga, Shawn D. Newsam:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9532-8 [contents] - 2021
- Jordan Bowman, Lexie Yang:
Few-shot Learning for Post-disaster Structure Damage Assessment. GeoAI@SIGSPATIAL 2021: 27-32 - Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam:
Semantic Segmentation in Aerial Images Using Class-Aware Unsupervised Domain Adaptation. GeoAI@SIGSPATIAL 2021: 9-16 - Rutuja Gurav, Debraj De, Gautam S. Thakur, Junchuan Fan:
Conflation of Geospatial POI Data and Ground-level Imagery via Link Prediction on Joint Semantic Graph. GeoAI@SIGSPATIAL 2021: 5-8 - C. V. Krishnakumar Iyer, Feili Hou, Henry Wang, Yonghong Wang, Kay Oh, Swetava Ganguli, Vipul Pandey:
Trinity: A No-Code AI platform for complex spatial datasets. GeoAI@SIGSPATIAL 2021: 33-42 - Elad Kravi, Yaron Kanza, Benny Kimelfeld, Roi Reichart:
Location Classification Based on Tweets. GeoAI@SIGSPATIAL 2021: 51-60 - Alex Levering, Diego Marcos, Ilan Havinga, Devis Tuia:
Cross-Modal Learning of Housing Quality in Amsterdam. GeoAI@SIGSPATIAL 2021: 1-4 - Zekun Li, Runyu Guan, Qianmu Yu, Yao-Yi Chiang, Craig A. Knoblock:
Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection. GeoAI@SIGSPATIAL 2021: 17-26 - Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang:
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. GeoAI@SIGSPATIAL 2021: 47-50 - Jinmeng Rao, Song Gao, Xiaojin Zhu:
VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning. GeoAI@SIGSPATIAL 2021: 43-46 - Szymon Wozniak, Piotr Szymanski:
hex2vec: Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags. GeoAI@SIGSPATIAL 2021: 61-71 - Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam:
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021. ACM 2021, ISBN 978-1-4503-9120-7 [contents] - 2019
- Ying Chen, Xu Ouyang, Gady Agam:
ChangeNet: Learning to Detect Changes in Satellite Images. GeoAI@SIGSPATIAL 2019: 24-31 - Ugyen Jigten Dorji, Anon Plangprasopchok, Navaporn Surasvadi, Chaiyaphum Siripanpornchana:
A machine learning approach to estimate median income levels of sub-districts in Thailand using satellite and geospatial data. GeoAI@SIGSPATIAL 2019: 11-14