Debvrat Varshney

Orcid: 0000-0001-8898-1736

According to our database1, Debvrat Varshney authored at least 11 papers between 2019 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms.
CoRR, 2023

ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images.
CoRR, 2022

Learning Snow Layer Thickness Through Physics Defined Labels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet.
Remote. Sens., 2021

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere.
Frontiers Big Data, 2021

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding.
IEEE Access, 2021

Regression Networks for Calculating Englacial Layer Thickness.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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