Abhishek Potnis

About

I am a Researcher in the Geospatial Artificial Intelligence (GeoAI) group at Oak Ridge National Laboratory (ORNL). I have completed my Doctoral Degree under the supervision of Prof. Surya Durbha in the GeoComputational Systems Lab at Indian Institute of Technology Bombay. My research interests include Geospatial Knowledge Representation and Reasoning, Natural Language Processing, Deep Learning for Computer Vision, Satellite Image Processing, Remote Sensing and GIS and Internet Of Things. My doctoral research explored the areas of Geospatial Semantics and Deep Learning for Satellite Image Processing, towards leveraging Knowledge Graphs for enhanced Scene Understanding of Remote Sensing Scenes. As a part of the Google Summer of Earth Engine Research Program that concluded in August 2019, I worked on "Machine Learning based Mapping of Croplands with Google Earth Engine for Identifying Human-Wildlife Conflict Locations" with Centre for Wildlife Studies. I have been a two-time Google Summer of Code student in the past for the organizations - Cesium in 2015, where I worked on processing and visualizing 3-dimensional LiDAR data from the CALIPSO satellite; and Liquid Galaxy in 2016, where I worked on enabling Cesium for a panoramic experience on the Liquid Galaxy hardware. I am an open source enthusiast and have been a code contributor to Mozilla Firefox. When not at my terminal or engrossed in a sci-fi novel, I enjoy travelling places, capturing and captioning the world through my camera.

Work

Oak Ridge National Laboratory
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Research Associate Staff in Machine Learning

US

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Honda R&D Co. Ltd.
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Artificial Intelligence Researcher

Japan

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Indian Institute of Technology Bombay
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Teaching Assistant

India

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Education

Indian Institute of Technology Bombay
India

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M. Tech + Ph. D. Dual Degree

University of Mumbai
India

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Bachelors in Engineering

Publications

INTRODUCING SPACENET 9-CROSS-MODAL SATELLITE IMAGERY REGISTRATION FOR NATURAL DISASTER RESPONSES

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Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS)

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journal-article

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery

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ArXiv

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journal-article

Pretraining Billion-scale Geospatia Foundational Models on Frontier

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Ieee International Parallel and Distributed Processing Symposium Workshops, Ipdpsw

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journal-article

Pretraining Billion-scale Geospatial Foundational Models on Frontier

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ArXiv

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journal-article

TOWARDS DIVERSE AND REPRESENTATIVE GLOBAL PRETRAINING DATASETS FOR REMOTE SENSING FOUNDATION MODELS

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Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS)

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journal-article

TOWARDS INTERPRETABLE MACHINE LEARNING METRICS FOR EARTH OBSERVATION IMAGE ANALYSIS

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Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS)

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journal-article

AN AGENDA FOR MULTIMODAL FOUNDATION MODELS FOR EARTH OBSERVATION

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

Geospatial Knowledge Graph Construction Workflow for Semantics-Enabled Remote Sensing Scene Understanding

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Advances in Scalable and Intelligent Geospatial Analytics

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journal-article

SCALING AUTOMATIC VECTOR DATA ALIGNMENT TO SATELLITE IMAGERY

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

TOWARDS GEOSPATIAL KNOWLEDGE GRAPH INFUSED NEURO-SYMBOLIC AI FOR REMOTE SENSING SCENE UNDERSTANDING

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

TOWARDS RAPID RESPONSE UPDATES OF POPULATIONS AT RISK

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

LidarCSNet: A Deep Convolutional Compressive Sensing Reconstruction Framework for 3D Airborne Lidar Point Cloud

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ISPRS Journal of Photogrammetry and Remote Sensing

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journal-article

LidarCSNet: A Deep Convolutional Compressive Sensing Reconstruction Framework for 3D Airborne Lidar Point Cloud

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ISPRS Journal of Photogrammetry and Remote Sensing

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journal-article

Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds

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2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

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conference-paper

Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds

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2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

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conference-paper

Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs)

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2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

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conference-paper

Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions

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ISPRS International Journal of Geo-Information

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journal-article

Towards Natural Language Question Answering Over Earth Observation Linked Data Using Attention-Based Neural Machine Translation

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IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception

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IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

Compressive Sensing Based Reconstruction and Pixel-Level Classification of Very High-Resolution Disaster Satellite Imagery Using Deep Learning

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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning

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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images

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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

RAPID EARTHQUAKE DAMAGE DETECTION USING DEEP LEARNING FROM VHR REMOTE SENSING IMAGES

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications

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IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An Application to Flood Monitoring

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Proceedings of the 2Nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities

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conference-paper

A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster

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IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

A geospatial ontological model for remote sensing scene semantic knowledge mining for the flood disaster

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International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

On-Board Biophysical Parameters Estimation using High Performance Computing

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IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

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conference-paper

ON-BOARD BIOPHYSICAL PARAMETERS ESTIMATION USING HIGH PERFORMANCE COMPUTING

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

On-board biophysical parameters estimation using high performance computing

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International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

Role of Deep Learning in Disaster Monitoring

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Intel AI Student Ambassador

Summary

lecture-speech

A Spatio-Temporal Ontological Model for Flood Disaster Monitoring

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2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

A spatio-temporal ontological model for flood disaster monitoring

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International Geoscience and Remote Sensing Symposium (IGARSS)

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conference-paper

Semantic Mediation and Reasoning on Streaming Sensor Data over Geospatial Sensor Web

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12th Semantic Web Summer School (SSSW 2016), Italy

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conference-poster

Exploring visualization of geospatial ontologies using cesium

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CEUR Workshop Proceedings

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conference-paper