2022 ACM SIGSPATIAL GeoAI Workshop Program

Time (PT) Title Author(s)
8:00-9:00 am Breakfast
9:00 – 9:10 am Opening
9:10-10:10 Academic Keynote Henry Medeiros, University of Florida
10:15-10:45 Coffee Break
Full Paper Session (15 min for each full paper)
10:45-11:00 Sensing overlapping geospatial communities from human movements using graph affiliation generation models Peng Luo and Di Zhu
11:00-11:15 highway2vec – representing OpenStreetMap microregions with respect to their road network characteristics Kacper Leśniara and Piotr Szymański
11:15-11:30 Remote Sensing Visual Question Answering with a Self-Attention Multi-Modal Encoder João Daniel Silva, Bruno Martins, Joao Magalhaes and Devis Tuia
11:30-11:45 IM2City: Image Geo-localization via Multi-modal Learning Meiliu Wu and Qunying Huang
11:45-12:00 Density-Based Cluster Detection at Multiple Spatial Scales via Kullback-Leibler Divergence of Reachability Profiles Orhun Aydin, Carlos Osorio Murillo and Cheng-Chia Huang
12:00-12:15 SHGCN: A hypergraph-based deep learning model for spatiotemporal traffic flow prediction Yi Wang and Di Zhu
12:15-12:30 Fine-Grained Location Prediction of non Geo-tagged Tweets – A Multi-view Learning Approach Mohammad Abboud, Karine Zeitouni and Yehia Taher
12:30-14:00 Lunch Break
14:00 – 15:00 Industry Keynote: Machine Intelligence – Building Maps for Auto Jing (David) Dai, Engineering Lead, Next Gen Maps at Google
Short Paper Session (10 min for each short paper)
15:00-15:10 Towards the Intelligent Era of Spatial Analysis and Modeling Di Zhu, Song Gao and Guofeng Cao
15:10-15:20 Incorporating Spatial Context for Post-OCR in Map Images Min Namgung and Yao-Yi Chiang
15:20-15:30 Unsupervised Historical Map Registration by a Deformation Neural Network Sidi Wu, Raimund Schnürer, Magnus Heitzler and Lorenz Hurni
15:35-16:05 Coffee Break
16:10-16:20 Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features
Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Chandi Witharana and Anna Liljedahl
16:20-16:30 SPEMI: Normalizing Spatial Imbalance with Spatial Eminence Transformer for Citywide Region Embedding Jun Tang, Haoxiang Zhang, Binjie Zhang, Jiahui Jin and Yan Lv
16:30-17:00 Wrap-up Discussions