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Spatial Interpolation

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Showing 1–50 of 60 papers

TitleStatusHype
AID: Attention Interpolation of Text-to-Image DiffusionCode2
Auxiliary-task learning for geographic data with autoregressive embeddingsCode1
NIIRF: Neural IIR Filter Field for HRTF Upsampling and PersonalizationCode1
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image SegmentationCode1
Kriging Convolutional NetworksCode1
πVAE: a stochastic process prior for Bayesian deep learning with MCMCCode1
Positional Encoder Graph Neural Networks for Geographic DataCode1
Video Shadow Detection via Spatio-Temporal Interpolation Consistency TrainingCode1
SSIN: Self-Supervised Learning for Rainfall Spatial InterpolationCode1
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
Centralized Information Interaction for Salient Object Detection—0
Community search signatures as foundation features for human-centered geospatial modeling—0
Cross-Country Comparative Analysis of Climate Resilience and Localized Mapping in Data-Sparse Regions—0
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data—0
Development of End-to-End Low-Cost IoT System for Densely Deployed PM Monitoring Network: An Indian Case Study—0
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution—0
Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision—0
Example-Guided Image Synthesis using Masked Spatial-Channel Attention and Self-Supervision—0
Example-Guided Scene Image Synthesis using Masked Spatial-Channel Attention and Patch-Based Self-Supervision—0
Experimental Study of Spatial Statistics for Ultra-Reliable Communications—0
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction—0
Geographic ratemaking with spatial embeddings—0
High-resolution LIDAR-based Depth Mapping using Bilateral Filter—0
Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation—0
Improving Spatio-Temporal Understanding of Particulate Matter using Low-Cost IoT Sensors—0
Improving trajectory calculations using deep learning inspired single image superresolution—0
Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning—0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles—0
MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling—0
Wind Field Reconstruction with Adaptive Random Fourier Features—0
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning—0
A Fourier interpolation method for numerical solution of FBSDEs: Global convergence, stability, and higher order discretizations—0
A Generalized Unified Skew-Normal Process with Neural Bayes Inference—0
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge—0
A Neural Network Approach to Efficient Valuation of Large Portfolios of Variable Annuities—0
A Spatial Interpolation Framework for Efficient Valuation of Large Portfolios of Variable Annuities—0
Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation—0
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?—0
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution—0
Spatial Transformers for Radio Map Estimation—0
Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail—0
Supervised Deep Kriging for Single-Image Super-Resolution—0
T-GMSI: A transformer-based generative model for spatial interpolation under sparse measurements—0
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)—0
Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation products—0
Video Stitching for Linear Camera Arrays—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models—0
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