▪ Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy, Odair Fernandes,
"Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment",
Proceedings of IEEE International Conference on Big Data, 2020
[pdf]
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▪ Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden,
"Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks",
Proceedings of IEEE International Conference on Big Data, 2020
[pdf]
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▪ Maryam Rahnemoonfar, Masoud Yari, John Paden, Lora Koenig, Ibikunle Oluwanisola,
"Deep Multi-Scale Learning for Automatic Tracking of Internal Layers of Ice in Radar Data",
Journal of Glaciology, pp. 1-10, 2020 [Impact Factor: 3.26]
[pdf]
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▪ Maryam Rahnemoonfar, Tashnim Chowdhury, Argo Sarkar, Debvrat Varshney, Masoud Yari, Robin Murphy,
"FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding",
arXiv, 2020
[pdf]
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▪ X. Hu, Maryam Rahnemoonfar, T. Jin,
"Image translation between SAR and optical imagery for Arctic wildfire analysis",
Proceedings of IEEE International Conference on Big Data, 2020
[pdf]
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▪ Masoud Yari, Maryam Rahnemoonfar, John Paden, L. Koenig, L. Montgomery, I. Oluwanisola,
"Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers",
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
[pdf]
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▪ M. Rahnemoonfar, M. Yari, J. Paden,
"Radar Sensor Simulation with Generative Adversarial Network",
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
[pdf]
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▪ I. Oluwanisola, J. Paden, M. Rahnemoonfar, D. Crandall, M. Yari,
"Snow Radar Layer Tracking Using Iterative Neural Network Approach",
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
[pdf]
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