34th ACM SIGSPATIAL

ACM SIGSPATIAL 2026 - Accepted TSAS Papers

• S2Vec: Self-Supervised Geospatial Embeddings
  Shushman Choudhury (Google, USA), Elad Aharoni (Google, USA), Chandrakumari Suvarna (Google, USA), Iveel Tsogsuren (Google, USA), Abdul Kreidieh (Google, USA), Chun-Ta Lu (Google, USA) and Neha Arora (Google, USA)

• Neurosymbolic Inference on Foundation Models for Remote Sensing Text-to-image Retrieval with Complex Queries
  E Mezzi (Vrije Universiteit, The Netherlands), Gertjan Burghouts (TNO, The Netherlands) and Maarten Kruithof (TNO, The Netherlands)

• STARD-Net: SpatioTemporal Attention for Robust Detection of Tiny Airborne Objects from Moving Drones
  Sanjay Madria (Missouri University of Science and Technology, USA) and Md. Hasibur Rahman (Missouri University of Science and Technology, USA)

• A Genealogy of Multi-Sensor Foundation Models in Remote Sensing
  Kevin Lane (University of Colorado Boulder, USA) and Morteza Karimzadeh (University of Colorado Boulder, USA)

• Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns
  Naoki Tamura (Nagoya University, Japan), Nodira Tillayeva (Nagoya University, Japan), Haru Terashima (Nagoya University, Japan), Kazuyuki Shoji (Nagoya University, Japan), Shin Katayama (Nagoya University, Japan), Kenta Urano (Nagoya University, Japan), Takuro Yonezawa (Nagoya University, Japan) and Nobuo Kawaguchi (Nagoya University, Japan)

• Adversarial Multitask Learning for Accurate Change Detection in Multi-Temporal Satellite Images
  Tolulope Ale (University of Maryland Baltimore County, USA), Bayu Adhi Tama (University of Maryland Baltimore County, USA) and Vandana Janeja (University of Maryland Baltimore County, USA)

• CLIFT: Cross-City Mobility-Derived Lifestyle Pattern Transfer for Improved Multi-City Next Location Prediction
  Haru Terashima (Nagoya University, Japan), Naoki Tamura (Nagoya University, Japan), Kazuyuki Shoji (Nagoya University, Japan), Tahera Hossain (Nagoya University, Japan), Shin Katayama (Nagoya University, Japan), Kenta Urano (Nagoya University, Japan), Takuro Yonezawa (Nagoya University, Japan) and Nobuo Kawaguchi (Nagoya University, Japan)

• Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with Foundation Models
  Yuanyuan Tian (Arizona State University, USA), WenWen Li (Arizona State University, USA), Xiao Chen (Arizona State University, USA), Michael Brook (Alaska Native Tribal Health Consortium, USA), Michael Brubaker (Alaska Native Tribal Health Consortium, USA), Anna Liljedahl (Woodwell Climate Research Center, USA) and Chitta Baral (Arizona State University, USA)

• Emerging Flexible Designs for Geospatial Multimodal Foundation Models
  Philipe Dias (Oak Ridge National Lab, USA), Waqwoya Abebe (Oak Ridge National Lab, USA), Abhishek Potnis (Oak Ridge National Lab, USA), Aristeidis Tsaris (Oak Ridge National Lab, USA), Dan Lu (Oak Ridge National Lab, USA), Xiao Wang (Oak Ridge National Lab, USA) and Dalton Lunga (Oak Ridge National Lab, USA)

• DIRECT: Deep Reinforcement Learning for Tourist Route Generation
  Genivika Mann (University of Bonn, Germany), Rajjat Dadwal (University of Bonn, Germany) and Elena Demidova (University of Bonn, Germany)