We are very happy to be such well represented at this year’s 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024) and associated workshops in Atlanta, USA.
We are excited to present the following scientific papers:
Calculating Upstream Relation in Spatial Networks Under Path Constraints (Main Track)
Authors: Wejdene Mansour, Martin Werner
SRL: Towards a General-Purpose Framework for Spatial Representation Learning (Vision Track) Authors: Gengchen Mai, Xiaobai Yao, Yiqun Xie, Jinmeng Rao, Hao Li, Qing Zhu, Ziyuan Li, Ni Lao
PC-LMT: The Point Cloud Log Merge Tree for the Helena Point Cloud Database (BigSpatial’24 Workshop)
Authors: Balthasar Teuscher and Martin Werner
Random Affine Transformation Feature Representation Learning for Fast Polygon Retrieval (GeoSearch’24 Workshop)
Authors: Zhangyu Wang, Xingyi Du, Hao Li and Martin Werner
TraBiMap: Reducing Privacy Concerns in Trajectory Analysis with Randomized Data Representations (GeoPrivacy’24 Workshop)
Authors: Paul Walther, Xuanshu Luo and Martin Werner
Apart from this we also have a poster in the TSAS poster track:
We are delighted to co-host the:
3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data Workshop Co-Chairs from our group: Hao Li, Martin Werner Description: Engage with experts in the efficient searching and mining of large geospatial data collections, contributing to the development of cutting-edge solutions.
Additionally Martin Werner serves as a Poster/Demo Chair at the main conference.
For further information about our participation and research reach out to us on the conference. We look forward to sharing insights, learning, and contributing to the vibrant academic community at SIGSPATIAL ‘24. For detailed information on all our published papers refer to the publications page.