Debvrat Varshney

17 papers C 4Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring. CoRR Oluwanisola Ibikunle, Hara Talasila, Debvrat Varshney, Jilu Li, John Paden, Maryam Rahnemoonfar
2025	—	`conf`	Geospatial Diffusion for Land Cover Imperviousness Change Forecasting. SIGSPATIAL/GIS Debvrat Varshney, Vibhas Vats, Bhartendu Pandey, Christa Brelsford, Philipe Dias
2025	J	`jnl`	Geospatial Diffusion for Land Cover Imperviousness Change Forecasting. CoRR Debvrat Varshney, Vibhas Vats, Bhartendu Pandey, Christa Brelsford, Philipe Dias
2023	C	`conf`	ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings. IGARSS Oluwanisola Ibikunle, Debvrat Varshney, Jilu Li, Maryam Rahnemoonfar, John Paden
2023	J	`jnl`	Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms. CoRR Debvrat Varshney, Masoud Yari, Oluwanisola Ibikunle, Jilu Li, John Paden, Maryam Rahnemoonfar
2022	C	`conf`	Learning Snow Layer Thickness Through Physics Defined Labels. IGARSS Debvrat Varshney, Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar
2022	J	`jnl`	Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images. CoRR Debvrat Varshney, Claudio Persello, Prasun Kumar Gupta, Bhaskar Ramachandra Nikam
2021	J	`jnl`	Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Masoud Yari, Oluwanisola Ibikunle, Debvrat Varshney, Tashnim Chowdhury, Argho Sarkar, John Paden, Jilu Li, Maryam Rahnemoonfar
2021	J	`jnl`	Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere. Frontiers Big Data Yiyi Huang, Matthäus Kleindessner, Alexey A. Munishkin, Debvrat Varshney, Pei Guo, Jianwu Wang
2021	J	`jnl`	Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet. Remote. Sens. Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden, Oluwanisola Ibikunle, Jilu Li
2021	J	`jnl`	FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. IEEE Access Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin Roberson Murphy
2021	J	`jnl`	Regression Networks For Calculating Englacial Layer Thickness. CoRR Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden
2021	C	`conf`	Regression Networks for Calculating Englacial Layer Thickness. IGARSS Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden
2020	—	`conf`	Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. IEEE BigData Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden
2020	J	`jnl`	Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. CoRR Maryam Rahnemoonfar, Debvrat Varshney, Masoud Yari, John Paden
2020	J	`jnl`	FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. CoRR Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin R. Murphy
2019	C	`conf`	Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data. IGARSS Debvrat Varshney, Prasun Kumar Gupta, Claudio Persello, Bhaskar Ramachandra Nikam