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Abhishek Potnis

Abhishek V. Potnis

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2020 – today

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2024
[c23]
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Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga:
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. SIGSPATIAL/GIS 2024: 597-600
[c22]
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Ronny Hänsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow:
Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. IGARSS 2024: 234-238
[c21]
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Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga:
Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models. IGARSS 2024: 2723-2728
[c20]
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Ujjwal Verma, Dalton D. Lunga, Abhishek Potnis:
Towards Interpretable Machine Learning Metrics For Earth Observation Image Analysis. IGARSS 2024: 4066-4068
[c19]
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  - conf/ipps/TsarisDPYWL24
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Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga:
Pretraining Billion-Scale Geospatial Foundational Models on Frontier. IPDPS (Workshops) 2024: 1036-1046
[e1]
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Hao Li, Abhishek Potnis, Wenwen Li, Dalton D. Lunga, Martin Werner, Andreas Züfle:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1148-0 [contents]
[i3]
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  - journals/corr/abs-2404-11706
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Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga:
Pretraining Billion-scale Geospatial Foundational Models on Frontier. CoRR abs/2404.11706 (2024)
[i2]
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  - journals/corr/abs-2410-19965
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Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga:
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. CoRR abs/2410.19965 (2024)
2023
[c18]
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Marie L. Urban, Jessica Moehl, Philipe A. Dias, Joseph Tuccillo, Andrew Reith, Kelly M. Sims, Sarah Walters, Jacob Arndt, Abhishek Potnis, Dalton D. Lunga:
Towards Rapid Response Updates of Populations at Risk. IGARSS 2023: 907-910
[c17]
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Philipe A. Dias, Abhishek Potnis, Sreelekha Guggilam, Lexie Yang, Aristeidis Tsaris, Henry Medeiros, Dalton D. Lunga:
An Agenda for Multimodal Foundation Models for Earth Observation. IGARSS 2023: 1237-1240
[c16]
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Abhishek Potnis, Dalton D. Lunga, Alexandre Sorokine, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Jason Wohlgemuth:
Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding. IGARSS 2023: 1400-1403
[c15]
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Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman:
Scaling Automatic Vector Data Alignment to Satellite Imagery. IGARSS 2023: 1676-1679
2021
[j1]
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Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde:
Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions. ISPRS Int. J. Geo Inf. 10(1): 32 (2021)
[c14]
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Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde, Pratyush V. Talreja:
Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs). IGARSS 2021: 5783-5786
[c13]
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Rajat C. Shinde, Surya S. Durbha, Abhishek V. Potnis, Pratyush V. Talreja, Gaganpreet Singh:
Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds. IGARSS 2021: 6936-6939
[c12]
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Pratyush V. Talreja, Surya S. Durbha, Rajat C. Shinde, Abhishek V. Potnis:
Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds. IGARSS 2021: 8241-8244
[i1]
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  - journals/corr/abs-2101-09427
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Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha:
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation. CoRR abs/2101.09427 (2021)
2020
[c11]
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Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha:
Towards Natural Language Question Answering Over Earth Observation Linked Data Using Attention-Based Neural Machine Translation. IGARSS 2020: 577-580
[c10]
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  - conf/igarss/ShindePD20
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Rajat C. Shinde, Abhishek V. Potnis, Surya S. Durbha:
Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception. IGARSS 2020: 4414-4417

2010 – 2019

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2019
[c9]
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Kuldeep R. Kurte, Abhishek Potnis, Surya S. Durbha:
Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to Flood Monitoring. ARIC@SIGSPATIAL 2019: 41-50
[c8]
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Rajat C. Shinde, Abhishek V. Potnis, Surya S. Durbha, Prakash Andugula:
Compressive Sensing Based Reconstruction and Pixel-Level Classification of Very High-Resolution Disaster Satellite Imagery Using Deep Learning. IGARSS 2019: 2639-2642
[c7]
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  - conf/igarss/BhangaleDPS19
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Ujwala Bhangale, Surya S. Durbha, Abhishek Potnis, Rajat C. Shinde:
Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images. IGARSS 2019: 2654-2657
[c6]
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Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha, Kuldeep R. Kurte:
Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning. IGARSS 2019: 9741-9744
[c5]
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Kuldeep R. Kurte, Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde:
Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications. IGARSS 2019: 9946-9949
2018
[c4]
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Abhishek V. Potnis, Surya S. Durbha, Kuldeep R. Kurte:
A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster. IGARSS 2018: 5274-5277
[c3]
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Pratyush V. Talreja, Surya S. Durbha, Abhishek V. Potnis:
On-Board Biophysical Parameters Estimation Using High Performance Computing. IGARSS 2018: 5445-5448
2017
[c2]
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Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Abhishek V. Potnis:
A spatio-temporal ontological model for flood disaster monitoring. IGARSS 2017: 5213-5216
2016
[c1]
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Abhishek Potnis, Surya S. Durbha:
Exploring Visualization of Geospatial Ontologies using Cesium. VOILA@ISWC 2016: 143-150

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