Deep Count: Fruit Counting Based on Deep Simulated Learning von Rahnemoonfar, Maryam, Sheppard, Clay

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Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling von Koo, Younghyun, Rahnemoonfar, Maryam

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FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding von Rahnemoonfar, Maryam, Chowdhury, Tashnim, Sarkar, Argho, Varshney, Debvrat, Yari, Masoud, Murphy, Robin Roberson

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Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events von Safavi, Farshad, Rahnemoonfar, Maryam

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Deep multi-scale learning for automatic tracking of internal layers of ice in radar data von Rahnemoonfar, Maryam, Yari, Masoud, Paden, John, Koenig, Lora, Ibikunle, Oluwanisola

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RescueNet: A High Resolution UAV Semantic Segmentation Dataset for Natural Disaster Damage Assessment von Rahnemoonfar, Maryam, Chowdhury, Tashnim, Murphy, Robin

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Fast solution of phase unwrapping partial differential equation using wavelets von Maryam Rahnemoonfar

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DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery von Rahnemoonfar, Maryam, Dobbs, Dugan, Yari, Masoud, Starek, Michael J.

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Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet von Varshney, Debvrat, Rahnemoonfar, Maryam, Yari, Masoud, Paden, John, Ibikunle, Oluwanisola, Li, Jilu

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Hierarchical Information-Sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity von Koo, Younghyun, Rahnemoonfar, Maryam

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Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods von Yari, Masoud, Ibikunle, Oluwanisola, Varshney, Debvrat, Chowdhury, Tashnim, Sarkar, Argho, Paden, John, Li, Jilu, Rahnemoonfar, Maryam

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GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data von Hu, Xikun, Zhang, Puzhao, Ban, Yifang, Rahnemoonfar, Maryam

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AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network von Rahnemoonfar, Maryam, Johnson, Jimmy, Paden, John

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AICE: AI Solutions for the Arctic & Antarctic Discovery von Rahnemoonfar, Maryam

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SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery von Sarkar, Argho, Chowdhury, Tashnim, Murphy, Robin, Gangopadhyay, Aryya, Rahnemoonfar, Maryam

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Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach von Rahnemoonfar, Maryam, Fox, Geoffrey Charles, Yari, Masoud, Paden, John

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Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency von Mazumder, Arnab Neelim, Safavi, Farshad, Rahnemoonfar, Maryam, Mohsenin, Tinoosh

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Performance Evaluation of Object-based and Pixel-based Building Detection Algorithms from Very High Spatial Resolution Imagery von Khosravi, Iman, Momeni, Mehdi, Rahnemoonfar, Maryam

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Automatic Seagrass Disturbance Pattern Identification on Sonar Images von Rahnemoonfar, Maryam, Rahman, Abdullah F., Kline, Richard J., Greene, Austin

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Skip-WaveNet: a wavelet based multi-scale architecture to trace snow layers in radar echograms von Varshney, Debvrat, Yari, Masoud, Ibikunle, Oluwanisola, Li, Jilu, Paden, John, Gangopadhyay, Aryya, Rahnemoonfar, Maryam

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