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ORCID30th SIGSPATIAL/GIS 2022: Seattle, WA, USA
- Matthias Renz, Mohamed Sarwat:
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2022, Seattle, Washington, November 1-4, 2022. ACM 2022, ISBN 978-1-4503-9529-8
Main conference (Research, Systems and Industrial Experience, Vision, Demo)
- Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara:
Learned k-NN distance estimation. 1:1-1:4 - Jie Yang
, Satish Puri, Hui Zhou:
Fine-grained dynamic load balancing in spatial join by work stealing on distributed memory. 2:1-2:12 - Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Clustering augmented self-supervised learning: an application to land cover mapping. 3:1-3:10 - Chenxi Qiu, Li Yan, Anna Cinzia Squicciarini, Juanjuan Zhao, Chengzhong Xu, Primal Pappachan:
TrafficAdaptor: an adaptive obfuscation strategy for vehicle location privacy against traffic flow aware attacks. 4:1-4:10 - Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
When do contrastive learning signals help spatio-temporal graph forecasting? 5:1-5:12 - Martin Mladenov, Sanjay Ganapathy Subramaniam, Chih-Wei Hsu, Neha Arora, Andrew Tomkins, Craig Boutilier, Carolina Osorio:
An adversarial variational inference approach for travel demand calibration of urban traffic simulators. 6:1-6:4 - Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. 7:1-7:4 - Mohamed M. Elshrif, Keivin Isufaj, Mohamed F. Mokbel:
Network-less trajectory imputation. 8:1-8:10 - Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath:
Will there be a construction?: predicting road constructions based on heterogeneous spatiotemporal data. 9:1-9:4 - Zhiqing Hong, Guang Wang, Wenjun Lyu, Baoshen Guo, Yi Ding, Haotian Wang, Shuai Wang, Yunhuai Liu, Desheng Zhang:
CoMiner: nationwide behavior-driven unsupervised spatial coordinate mining from uncertain delivery events. 10:1-10:10 - Richard Burke, Jin Xing, Alistair C. Ford, Richard J. Dawson:
A geospatial modelling framework to assess flood risk under future scenarios of urban form (vision paper). 11:1-11:4 - Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. 12:1-12:10 - Chengxin Wang, Yuxuan Liang, Gary Tan:
Periodic residual learning for crowd flow forecasting. 13:1-13:10 - Carlos Enrique Muñiz-Cuza, Nguyen Ho, Eleni Tzirita Zacharatou, Torben Bach Pedersen, Bin Yang:
Spatio-temporal graph convolutional network for stochastic traffic speed imputation. 14:1-14:12 - Chen Wu, Sheng Wang, Zhiyong Peng:
Motorch: an on-device trajectory data management system during a pandemic. 15:1-15:4 - Jun Zhang, Depeng Jin, Yong Li:
Mirage: an efficient and extensible city simulation framework (systems paper). 16:1-16:4 - Toru Shimizu, Kota Tsubouchi, Takahiro Yabe:
GEO-BLEU: similarity measure for geospatial sequences. 17:1-17:4 - Hamada Rizk, Dong Ma, Mahbub Hassan, Moustafa Youssef:
Photovoltaic cells for energy harvesting and indoor positioning. 18:1-18:4 - Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. 19:1-19:12 - Samriddhi Singla, Yaming Zhang, Ahmed Eldawy:
OSMX: spark-based geospatial data extractor from OpenStreetMap. 20:1-20:4 - Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekera, Egemen Tanin:
e-SMARTS: a system to simulate intelligent traffic management solutions (demo paper). 21:1-21:4 - Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekera, Egemen Tanin:
Dynamic graph combinatorial optimization with multi-attention deep reinforcement learning. 22:1-22:12 - Santiago Andrés Azcoitia, Marius Paraschiv, Nikolaos Laoutaris:
Computing the relative value of spatio-temporal data in data marketplaces. 23:1-23:11 - Jiawei Li, Linkun Lyu, Jia Shi, Jie Zhao, Junjie Xu, Jiuchong Gao, Renqing He, Zhizhao Sun:
Generating community road network from GPS trajectories via style transfer. 24:1-24:4 - Maximilian Bernhard, Matthias Schubert:
Robust object detection in remote sensing imagery with noisy and sparse geo-annotations. 25:1-25:4 - Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
Spatial embedding: a generic machine learning model for spatial query optimization. 26:1-26:4 - Erin W. Chambers, Moon Duchin, Ranthony A. C. Edmonds, Parker B. Edwards, JN Matthews, Anthony E. Pizzimenti, Chanel Richardson, Parker Rule, Ari Stern:
Aggregating community maps. 27:1-27:12 - Saugat Adhikari, Da Yan, Mirza Tanzim Sami, Jalal Khalil, Lyuheng Yuan, Bhadhan Roy Joy, Zhe Jiang, Arpan Man Sainju:
An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper). 28:1-28:4 - Jalal Khalil, Da Yan, Lyuheng Yuan, Mostafa Jafarzadehfadaki, Saugat Adhikari, Virginia P. Sisiopiku, Zhe Jiang:
Realistic urban traffic simulation with ride-hailing services: a revisit to network kernel density estimation (systems paper). 29:1-29:10 - Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, Kyoung-Sook Kim:
TStream: a framework for real-time and scalable trajectory stream processing and analysis. 30:1-30:4 - Ali Nematichari, Tilemachos Pechlivanoglou, Manos Papagelis:
Evaluating and forecasting the operational performance of road intersections. 31:1-31:12 - Saeed Nasehi Basharzad, Farhana Murtaza Choudhury, Egemen Tanin, Lachlan L. H. Andrew, Hanan Samet, Majid Sarvi:
Electric vehicle charging: it is not as simple as charging a smartphone (vision paper). 32:1-32:4 - Nikolaos Zygouras, Dimitrios Gunopulos:
A novel framework for handling sparse data in traffic forecast. 33:1-33:4 - Suxing Lyu, Tianyang Han, Yuuki Nishiyama, Kaoru Sezaki, Takahiko Kusakabe:
A plug-in memory network for trip purpose classification. 34:1-34:12 - Theodor Gutschlag, Sabine Storandt:
On the generalized fréchet distance and its applications. 35:1-35:10 - Kaifang Xiong, Hongmei Chen, Lizhen Wang, Qing Xiao:
Mining fuzzy sub-prevalent co-location pattern with dominant feature. 36:1-36:10 - Mashaal Musleh, Mohamed F. Mokbel, Sofiane Abbar:
Let's speak trajectories. 37:1-37:4 - Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel:
Deep learning based 3D point cloud regression for estimating forest biomass. 38:1-38:4 - Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao:
Region2Vec: community detection on spatial networks using graph embedding with node attributes and spatial interactions. 39:1-39:4 - Yongyi Liu, Amr Magdy:
U-ASK: a unified architecture for kNN spatial-keyword queries supporting negative keyword predicates. 40:1-40:11 - Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Sailing in the location-based fairness-bias sphere. 41:1-41:10 - Giuliano Cornacchia, Matteo Böhm, Giovanni Mauro, Mirco Nanni, Dino Pedreschi, Luca Pappalardo:
How routing strategies impact urban emissions. 42:1-42:4 - Mark Tenzer, Zeeshan Rasheed, Khurram Shafique:
Learning citywide patterns of life from trajectory monitoring. 43:1-43:12 - Theodoros Chondrogiannis, Johann Bornholdt, Panagiotis Bouros, Michael Grossniklaus:
History oblivious route recovery on road networks. 44:1-44:10 - Mark Tenzer, Zeeshan Rasheed, Khurram Shafique, Nuno Vasconcelos:
Meta-learning over time for destination prediction tasks. 45:1-45:10 - Michael T. Goodrich, Evrim Ozel:
Modeling the small-world phenomenon with road networks. 46:1-46:10 - Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi:
The pit stop problem: how to plan your next road trip. 47:1-47:9 - Sadeem Alsudais, Qiushi Bai, Shuang Zhao, Chen Li:
GSViz: progressive visualization of geospatial influences in social networks. 48:1-48:12 - Shu Chen, Fahim Ahmed, Fan Bai, Donald Grimm:
A framework towards solving the mobile crowd-sourcing coverage question (demo paper). 49:1-49:4 - Keiichi Ochiai, Masayuki Terada, Makoto Hanashima, Hiroaki Sano, Yuichiro Usuda:
Detection of non-designated shelters by extracting population concentrated areas after a disaster (industrial paper). 50:1-50:9 - Feng Wan, Linsen Li, Ke Wang, Lu Chen, Yunjun Gao, Weihao Jiang, Shiliang Pu:
MTTPRE: a multi-scale spatial-temporal model for travel time prediction. 51:1-51:10 - Lukas Baur, Stefan Funke, Tobias Rupp, Sabine Storandt:
Gradual road network simplification with shape and topology preservation. 52:1-52:4 - Hairuo Xie, Renata Borovica-Gajic, Egemen Tanin, Shanika Karunasekera, Udesh Gunarathna, Gilbert Oppy, Majid Sarvi:
A simulation study on prioritizing connected freight vehicles at intersections for traffic flow optimization (industrial paper). 53:1-53:10 - Claudia Pérez Martínez, Panagiotis Bouros, Theodoros Chondrogiannis:
RODGEN: an interactive interface for road network generation. 54:1-54:4 - Lukas Baur, Stefan Funke, Tobias Rupp:
Pathfindervis. 55:1-55:4 - Bram Custers, Wouter Meulemans, Marcel Roeloffzen, Bettina Speckmann, Kevin Verbeek:
Physically consistent map matching. 56:1-56:4 - Kevin Buchin, Mart Hagedoorn, Guangping Li:
Tour4Me: a framework for customized tour planning algorithms. 57:1-57:4 - Tao Feng, Huandong Wang, Xiaochen Fan, Tong Xia, Yong Li:
Reviving the economy while saving lives: a deep reinforcement learning approach for smart POI reopening. 58:1-58:12 - Liming Zhang, Liang Zhao, Dieter Pfoser:
Factorized deep generative models for end-to-end trajectory generation with spatiotemporal validity constraints. 59:1-59:12 - Pierpaolo Resce, Lukas Vorwerk, Zhiwei Han, Giuliano Cornacchia, Omid Isfahani Alamdari, Mirco Nanni, Luca Pappalardo, Daniel Weimer, Yuanting Liu:
Connected vehicle simulation framework for parking occupancy prediction (demo paper). 60:1-60:4 - Ye Hong, Henry Martin, Martin Raubal:
How do you go where?: improving next location prediction by learning travel mode information using transformers. 61:1-61:10 - Gauthier Vigouroux, Pedro Merino Laso, Christophe Claramunt, Nathalie Leidinger:
Evaluating the vulnerability of ISO 19100 and S-100 standards through visual approaches. 62:1-62:4 - Luca Colomba, Luca Cagliero, Paolo Garza:
Mining spatiotemporally invariant patterns. 63:1-63:4 - Zhiqing Hong, Heng Yang, Haotian Wang, Wenjun Lyu, Yu Yang, Guang Wang, Yunhuai Liu, Yang Wang, Desheng Zhang:
FastAddr: real-time abnormal address detection via contrastive augmentation for location-based services. 64:1-64:10 - Krystian Czapiga, Serkan Isci, Yaron Kanza, James T. Klosowski, Velin Kounev, Gopal Meempat:
Playable ray tracing for real-time exploration of radio propagation in wireless networks. 65:1-65:4 - Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal:
Vision paper: causal inference for interpretable and robust machine learning in mobility analysis. 66:1-66:4 - Yuyan Wang, Senaka Buthpitiya, Alex Fabrikant:
Zebra regression: estimating motion of periodically-emitted particles from unlabeled sightings. 67:1-67:12 - Roger Frye, Mark McKenney:
Per segment plane sweep line segment intersection on the GPU. 68:1-68:4 - Fazel Arasteh, Soroush SheikhGarGar, Manos Papagelis:
Network-aware multi-agent reinforcement learning for the vehicle navigation problem. 69:1-69:4 - Jasper Huang, Chiqun Zhang, Dragomir Yankov, Maryam Mousaarab Najafabadi, Tsheko Mutungu:
Active learning for transformer models in direction query tagging. 70:1-70:4 - Yuhan Ji, Song Gao, Jacob Kruse, Tam Huynh, James Triveri, Chris Scheele, Collin Bennett, Yicheng Wen:
Exploring multilevel regularity in human mobility patterns using a feature engineering approach: a case study in chicago. 71:1-71:4 - Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao:
Deep geometric neural network for spatial interpolation. 72:1-72:4 - Zilong Liu, Zhining Gu, Thomas Thelen, Seila Gonzalez Estrecha, Rui Zhu, Colby K. Fisher, Anthony D'Onofrio, Cogan Shimizu, Krzysztof Janowicz, Mark Schildhauer, Shirly Stephen, Dean Rehberger, Wenwen Li, Pascal Hitzler:
Knowledge explorer: exploring the 12-billion-statement KnowWhereGraph using faceted search (demo paper). 73:1-73:4 - Longji Huang, Jianbin Huang, He Li:
Long-term multi-dimensional spatial-temporal graph convolution for urban sensors imputation and augmentation. 74:1-74:4 - Hussah Alrashid, Yongyi Liu, Amr Magdy:
SMP: scalable max-P regionalization. 75:1-75:4 - Elisa Cabana, Andra Lutu, Enrique Frías-Martínez, Nikolaos Laoutaris:
Improving epidemic risk maps using mobility information from mobile network data. 76:1-76:4 - Rajjat Dadwal, Thorben Funke, Michael Nüsken, Elena Demidova:
W-trace: robust and effective watermarking for GPS trajectories. 77:1-77:4 - Bingnan Li, Liying Chen, Daping Xiong, Shuiping Chen, Renqing He, Zhizhao Sun, Samsung Lim, Hai Jiang:
Simultaneous detection of multiple areas-of-interest using geospatial data from an online food delivery platform (industrial paper). 78:1-78:10 - John Krumm:
Maximum entropy bridgelets for trajectory completion. 79:1-79:8 - Vamsi Krishna Penumadu, Nitesh Methani, Saurabh Sohoney:
Learning geospatially aware place embeddings via weak-supervision. 80:1-80:10 - Angélica Valencia Torres, Chetan Tiwari, Samuel F. Atkinson:
A simulation framework for evaluating strategies for sustainable nutritional security. 81:1-81:4 - Lakmal Muthugama, Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Udesh Gunarathna:
Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection management. 82:1-82:12 - Maryam Maslek Elayam, Cyril Ray, Christophe Claramunt:
Towards a hierarchical similarity measure for studying dynamic hierarchical graphs. 83:1-83:4 - ABM Musa:
Multi-view traffic sign localization with high absolute accuracy in real-time at the edge. 84:1-84:12 - Jiaxin Ding, Shichuan Xi, Kailong Wu, Pan Liu, Xinbing Wang, Chenghu Zhou:
Analyzing sensitive information leakage in trajectory embedding models. 85:1-85:10 - Jiaxin Ding, Bowen Zhang, Xinbing Wang, Chenghu Zhou:
TSNE: trajectory similarity network embedding. 86:1-86:4 - Liying Chen, Daping Xiong, Shuiping Chen, Fangxiao Du, Renqing He, Zhizhao Sun:
Automatic generation of areas of interest using multimodal geospatial data from an on-demand food delivery platform (industrial paper). 87:1-87:10 - Abhay Goyal, Sanjay Madria, Samuel Frimpong:
MinerFinder: a GAE-LSTM method for predicting location of miners in underground mines. 88:1-88:12 - Amna Elmustafa, Erik Rozi, Yutong He, Gengchen Mai, Stefano Ermon, Marshall Burke, David B. Lobell:
Understanding economic development in rural Africa using satellite imagery, building footprints and deep models. 89:1-89:4 - Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim:
Leveraging language foundation models for human mobility forecasting. 90:1-90:9 - João Monteiro, Bruno Martins, Miguel Costa, João Moura Pires:
A co-training approach for spatial data disaggregation. 91:1-91:10 - Kristian Torp, Magnus N. Hansen:
Efficient network-constrained trajectory queries. 92:1-92:4 - Reza Safarzadeh Ramhormozi, Arash Mozhdehi, Saeid Kalantari, Yunli Wang, Sun Sun, Xin Wang:
Multi-task graph neural network for truck speed prediction under extreme weather conditions. 93:1-93:11 - Thomas C. van Dijk, Tim Janiak:
Algorithmically-assisted interactive metro map design (demo paper): "it looks like you're designing a metro map. would you like help?". 94:1-94:4 - ABM Musa, Chris Baker, Emre Eftelioglu, Amber Roy Chowdhury:
High-accuracy GNSS localization with low-cost. 95:1-95:4 - Yaron Kanza, Balachander Krishnamurthy, Divesh Srivastava:
Geospatial accessibility and inclusion by combining contextual filters, the metaverse and ambient intelligence. 96:1-96:4 - Arun Sharma, Jayant Gupta, Subhankar Ghosh:
Towards a tighter bound on possible-rendezvous areas: preliminary results. 97:1-97:11 - Jayant Gupta, Arun Sharma:
Mining taxonomy-aware colocations: a summary of results. 98:1-98:11 - Adam Mertel, Wildan Abdussalam, Jirí Vyskocil, Justin M. Calabrese:
Infrastructure for spatiotemporal exploration of interregional and international interaction of epidemiological data (DEMO PAPER). 99:1-99:4 - Kanchan Chowdhury, Mohamed Sarwat:
GeoTorch: a spatiotemporal deep learning framework. 100:1-100:4 - Richard Gordon, Donald K. Grimm, Fan Bai:
Crowd-sensing driving environments using headway dynamics (demo paper). 101:1-101:4 - Majid Saeedan, Ahmed Eldawy:
Spatial parquet: a column file format for geospatial data lakes. 102:1-102:4 - Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki:
Online trajectory prediction for metropolitan scale mobility digital twin. 103:1-103:12 - Zipei Fan, Guixu Lin, Wei Yuan, Ryosuke Shibasaki, Pengpeng E, Xuan Song:
Exploring intercity regional similarity using worldwide location-based social network data (demo paper). 104:1-104:4 - Furqan Baig, Pradeep Nalluri, Jun Kong, Fusheng Wang:
SPEAR-board: cross-platform interactive spatio-temporal big data analytics. 105:1-105:4 - Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon:
Towards a foundation model for geospatial artificial intelligence (vision paper). 106:1-106:4 - Xin Huang, Chenxi Wang, Sanjay Purushotham, Jianwu Wang:
VDAM: VAE based domain adaptation for cloud property retrieval from multi-satellite data. 107:1-107:10 - Noah Kelleher, Ricardo Ramirez, Adnan Salihovic, Nathan McKay, Jonathan Kelly, Hengwei Chen, Goce Trajcevski:
Wind awareness for energy consumption in drone simulations (demo paper). 108:1-108:4
Student research competition papers
- Mashaal Musleh:
Towards a unified deep model for trajectory analysis. 109:1-109:2 - Palla Likhitha, Rage Uday Kiran:
Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases. 110:1-110:2 - Caner Ferhatoglu, Bradley A. Miller:
Choosing feature selection methods for spatial modeling of soil fertility properties at the field scale. 111:1-111:2 - Taif Anjum, Beiyu Lin, Apurva Narayan:
Leveraging spatio-temporal features to forecast time-to-accident. 112:1-112:2 - Wen Ye, Song Gao:
Spatiotemporal heterogeneities of the associations between human mobility and close contacts with COVID-19 infections in the United States. 113:1-113:2 - Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi:
Sharing without caring: privacy protection of users' spatio-temporal data without compromise on utility. 114:1-114:2 - Farah Youssef, Sara Elmogy, Hamada Rizk:
MagttLoc: decimeter indoor localization system using commercial devices. 115:1-115:2 - He Zhu, Liyu Zhang, Zipei Fan:
Personalized individual trajectory prediction via meta-learning. 116:1-116:2 - Johann Maximilian Zollner:
Quantum classifiers for remote sensing. 117:1-117:2
GIS cup papers
- Hunsoo Song, Jinha Jung:
Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics. 118:1-118:4 - Weiye Chen, Zhihao Wang, Zhili Li, Yiqun Xie, Xiaowei Jia, Anlin Li:
Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds. 119:1-119:4 - Xin Xu:
An unsupervised building footprints delineation approach for large-scale LiDAR point clouds. 120:1-120:4
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