Spatial Context Modeling

Follow this topic Ask about this topic

Latest papers

28 papers13 papers in the last four weeks, up 225% on the four weeks before. 0.1% of all new papers.

Evolutionary Design of Interpretable Spatial Descriptors for Structure-Property Relationship Discovery
Nov 4, 2026Aditya Raghavan, Sergei V KalininSpatial Context Modeling Materials Property Prediction
Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN37922
MoSoLoco: Monocular 3D Human Localization through Visual Latent Features and Social Context
Nov 2, 2026Yasamin Borhani, Javad Khoramdel, Yang Gao +2Spatial Context Modeling
Visual Intelligence for Transportation (VITA) Laboratory, EPFL, Switzerland · Faculty of Computer Science, University of Vienna, Vienna, Austria
When Does Spatial Cooperation Help? Contamination Regimes in Decentralized Online Spectrum Anomaly Learning
Oct 31, 2026Alp Berke Ardic, Erdem KoyuncuOnline Anomaly Detection Anomaly Detection
Department of Electrical and Computer Engineering, University of Illinois Chicago
SpatialVec: A Unified Representation Learning Framework for Geospatial Objects with Boundary-Aware Sampling
Oct 28, 2026Samya Acharja, Kanchan ChowdhuryGeospatial Representation Learning Spatial Context Modeling
Marquette University, Milwaukee, USA
Biology-Guided Context-Aware Residual Propagation for Spatial Gene Expression Prediction from Histology
Oct 26, 2026Vu Van An, Long D. Nguyen, Ho Viet Duc Luong +1Spatial Gene Expression Prediction Gene Expression Prediction from Histopathology Images
Hanoi University of Science and Technology Hanoi, 10000, Vietnam · Victoria University of Wellington Wellington, 6012, New Zealand
Agentic AI Orchestration Framework for Spatial Intelligence: Supply Chain Deployment
Oct 25, 2026Constantinos Papantoniou, Brian HiltonAI Agent Architecture Multi-Agent Orchestration
Anassa.ai USA · Research Scientist USA
SAIL: A Learnable Generalisation of Spatial Autocorrelation over Graph-Structured Data
Oct 20, 2026Piotr Keller, Fayyaz MinhasSpatial Context Modeling
Predictive Systems in Biomedicine (PRISM) Lab, Department of Computer Science, University of Warwick, Coventry CV4 7AL, United Kingdom
Spatially Informed and Direction Sensitive Representation Learning for Spatial Transcriptomics
Oct 20, 2026Azim Dehghani Amirabad, Ali Khodabandeh Yalabadi, Artem Moskalev +4Representation Learning Spatial Transcriptomics
Johnson & Johnson Innovative Medicine · Independent Researcher
HistoLoop: Iterative Contextual Inference with a Looped Transformer for Histology-Based Spatial Gene Expression Prediction
Oct 20, 2026Ziang Liu, Jie Liu, Shuai Li +2Spatial Gene Expression Prediction Gene Expression Prediction from Histopathology Images
Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology · National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology · College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China
ICIBS: Increasing the Context for Ice Boundary Segmentation
Oct 20, 2026Marcel Dreier, Dakota Pyles, Nora Gourmelon +6Remote Sensing Image Segmentation Remote Sensing
Pattern Recognition Lab, Computer Science Department, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany · Institut für Geographie, Department of Geography and Geosciences, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
$M^2Net$ : Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting
Oct 17, 2026Chengyang Zhou, Zijian Zhang, Hao Miao +5Spatiotemporal Forecasting Multiscale Time-Series Modeling
College of Computer Science and Technology, Jilin University, Changchun, China · Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China +2
Look, Reason, Draw a Region: Recursive Refinement for Spatial Context Prediction
Oct 16, 2026Wajeeha Tahir, Anna Tegon, Lionnus Kesting +4Spatial Context Modeling Visual Spatial Reasoning
Integrated Systems Laboratory, ETH Zürich, Switzerland · Pázmány Péter Catholic University, Hungary
MIST: Multi-Scale Spatial Context for Gene Expression Prediction from Histology
Oct 13, 2026Koushik Howlader, Tirtho Roy, Md Tauhidul Islam +1Spatial Context Modeling Spatial Gene Expression Prediction
Iowa State University, Iowa, USA · Stanford University, CA, USA
CartoVec: General-Purpose Location Embeddings from Open Map Data
Oct 12, 2026Furkan GursoyGeospatial Representation Learning Spatial Context Modeling
Learning Holistic Scene Layout against View Shifts in Cross-View Geo-Localization
Oct 9, 2026Chao Yang, Songlian Li, Zhigang TuSpatial Context Modeling Cross-View Geo-Localization
the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China
Seeing, Saying, but Not Using: From Reportable Spatial Facts to Usable States in Multimodal Large Language Models
Oct 2, 2026Jinchang Zhang, Guoyu LuMultimodal Spatial Reasoning Multimodal Large Language Models
Intelligent Vision and Sensing (IVS) Lab Indiana University Bloomington Bloomington, IN, USA
Network-based Spatial Context Retrieval for Open-weight LLMs: A Faithfulness Benchmark for Grounded Geographic Reasoning
Sep 30, 2026Joan PerezSpatial Reasoning Benchmarks LLM Grounding
Urban Geo Analytics
SpatialSpeak: QA-Native Reconstruction with Local and Global Context for Spatial Chain-of-Thought Reasoning
Sep 27, 2026Yang Cao, Jiaxin Zhang, Dave Zhenyu Chen +4Visual Spatial Reasoning Multi-View 3D Reconstruction
Hong Kong University of Science and Technology · Harbin Institute of Technology · Huawei Noah’s Ark Lab
Continuous Token-Level Spatio-Temporal Context Modeling for Visual Object Tracking
Sep 7, 2026Ding Xia, Meiqin Liu, Jing Zhou +1Spatial Context Modeling Visual Object Tracking
State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University, Xi’an 710049, China. · College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China. · School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China.
Synergising Local Geo-Environmental Characteristics with Spatial Context for Enhancing Landslide Susceptibility Mapping
Aug 25, 2026Yusen Cheng, Lei Fan, Qinfeng Zhu +3Spatial Context Modeling Landslide Susceptibility Mapping
Department of Civil Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China · Department of Geography and Planning, University of Liverpool, Liverpool, L69 3BX, UK · Department of Computer Science, University of Liverpool, Liverpool, L69 3BX, UK +2
CoST: Semantic-Aware Urban Understanding via Spatial-Temporal Alignment
Aug 21, 2026Yutian Jiang, Jiabo Liu, Xixuan Hao +1Urban Representation Learning Geospatial Representation Learning
The Hong Kong University of Science and Technology (Guangzhou)
PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos
Aug 2, 2026Dongheng Lin, Jianbo JiaoSpatial Context Modeling
The MIx Group, University of Birmingham, Birmingham, United Kingdom
CoCoSI: Collaborative Cognitive Map Construction for Spatial Intelligence
Jun 9, 2026Yiming Zhang, Ruoxuan Cao, Zhihang ZhongMultimodal Understanding Multimodal Large Language Models
2Cornell University · 1Shanghai Jiao Tong University
The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series
Mar 25, 2026Jan Hemmerling, Marcel Schwieder, Philippe Rufin +4Crop Type Classification Spatial Context Modeling
Thünen Earth Observation (ThEO), Thünen Institute of Farm Economics, Braunschweig, Germany. · Earth Observation Lab, Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany. · Earth and Life Institute, UCLouvain, 1348 Louvain-la-Neuve, Belgium. +2
Spatially Aware Deep Learning for Microclimate Prediction from High-Resolution Geospatial Imagery
Feb 27, 2026Idan Sulami, Alon Itzkovitch, Michael R. Kearney +2Spatial Context Modeling Climate Modeling
Tel Aviv University, Faculty of Life Sciences, School of Zoology, Tel Aviv, Israel · School of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia · Tel Aviv University, Center for Artificial Intelligence & Data Science, Tel Aviv, Israel
HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction
Feb 5, 2026Dahai Yu, Lin Jiang, Rongchao Xu +1Spatiotemporal Forecasting State Space Models
Department of Computer Science, Florida State University
Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints
Jan 27, 2026Chao Yin, Qing Han, Zhiwei Hou +5Class-Imbalanced Learning 3D Point Cloud Segmentation
Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China · School of Geography and Tourism, Hengyang Normal University, Hengyang, China · Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China +3
GeoGR^2:Zero-Shot Geospatial Inference via Geostatistically-Guided Iterative Refinement with LLMs
Aug 6, 2025Jinfan Tang, Kunming Wu, Xieruifeng Gong +4Zero-Shot Learning Geospatial Reasoning
College of Computer Science, Sichuan University · National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University · College of Life Science, Sichuan University

Nov 4, 2026J/K move · Enter open · S save

Evolutionary Design of Interpretable Spatial Descriptors for Structure-Property Relationship Discovery

Aditya Raghavan, Sergei V Kalinin

Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN37922

Spatial Context Modeling Materials Property Prediction

Open paper AskPDF arXiv

Structure property prediction is a classical task in machine learning, ranging from molecular activity and materials properties to local functional responses measured in microscopy. For image-based regression, two choices define the information available to the predictor: the size of the image neighborhood and the spatial resolution retained within it. A small neighborhood can omit relevant surrounding structure, whereas a large, finely sampled neighborhood can introduce redundant or irrelevant information. Here, we develop a framework for constructing spatial descriptors for prediction of local spectra and hysteresis loops. We benchmark regression models, use SHAP maps to examine their spatial attribution, and explore the effect of the patch size and compression to establish the relationship between predictive accuracy and descriptor dimensionality. We then use a genetic algorithm to optimize spatial partitions and the assignment of mean, minimum, and maximum pooling operations. Each retained region contributes an explicit measurement of the image, allowing the search to balance prediction error against the number of descriptor values. Cartesian and polar constructions provide complementary ways to organize this information. The resulting descriptors make it possible to examine where spatial detail is needed, where regional summaries are sufficient, and how these choices depend on the predictor and the measured response. The same approach can be used for molecules and solids once the genetic algorithm rules for these are established.