Abhishek Potnis

Orcid: 0000-0001-8168-857X

According to our database1, Abhishek Potnis authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Towards Rapid Response Updates of Populations at Risk.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Scaling Automatic Vector Data Alignment to Satellite Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

An Agenda for Multimodal Foundation Models for Earth Observation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions.
ISPRS Int. J. Geo Inf., 2021

Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs).
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Towards Natural Language Question Answering Over Earth Observation Linked Data Using Attention-Based Neural Machine Translation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Compressive Sensing Based Reconstruction and Pixel-Level Classification of Very High-Resolution Disaster Satellite Imagery Using Deep Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to Flood Monitoring.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities, 2019

2018
On-Board Biophysical Parameters Estimation Using High Performance Computing.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A spatio-temporal ontological model for flood disaster monitoring.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Exploring Visualization of Geospatial Ontologies using Cesium.
Proceedings of the Second International Workshop on Visualization and Interaction for Ontologies and Linked Data co-located with the 15th International Semantic Web Conference, 2016


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