Arpan Man Sainju

Orcid: 0000-0001-5668-194X

According to our database1, Arpan Man Sainju authored at least 23 papers between 2017 and 2023.

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Bibliography

2023
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
A Hidden Markov Contour Tree Model for Spatial Structured Prediction.
IEEE Trans. Knowl. Data Eng., 2022

Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels.
ACM Trans. Intell. Syst. Technol., 2022

Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training.
ACM Trans. Intell. Syst. Technol., 2022

An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper).
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021
Geographical Hidden Markov Tree.
IEEE Trans. Knowl. Data Eng., 2021

Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint.
Frontiers Big Data, 2021

An attention U-Net model for detection of fine-scale hydrologic streamlines.
Environ. Model. Softw., 2021

Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model.
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021

2020
Mapping Road Safety Features from Streetview Imagery: A Deep Learning Approach.
Trans. Data Sci., 2020

Parallel Grid-Based Colocation Mining Algorithms on GPUs for Big Spatial Event Data.
IEEE Trans. Big Data, 2020

Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors.
CoRR, 2020

Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint.
CoRR, 2020

A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods.
CoRR, 2020

CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity.
ACM Trans. Intell. Syst. Technol., 2019

Hidden Markov Contour Tree: A Spatial Structured Model for Hydrological Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix).
CoRR, 2018

Geographical Hidden Markov Tree for Flood Extent Mapping.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

An Experimental Analysis of Windows Log Events Triggered by Malware.
Proceedings of the 2017 ACM Southeast Regional Conference, 2017


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