Two dimensional phase unwrapping of interferometric SAR data by means of wavelet technique. - Maryam Rahnemoonfar; Mohammad Rahmati; Ahad Tavakoli; M. R. Saradjian (IGARSS, 2005)

Correction of arbitrary geometric artefacts in historical documents. - Maryam Rahnemoonfar (2010)

Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines. - Maryam Rahnemoonfar; Apostolos Antonacopoulos (ICDAR, 2011)

DEM Generation with SAR Interferometry Based on Weighted Wavelet Phase Unwrapping. - Maryam Rahnemoonfar; Beth Plale (COM.Geo, 2013)

Automatic performance evaluation of dewarping methods in large scale digitization of historical documents. - Maryam Rahnemoonfar; Beth Plale (JCDL, 2013)

Mobile-based text recognition from water quality devices. - Shanti Dhakal; Maryam Rahnemoonfar (MOBMU, 2015)

The First Automatic Method for Mapping the Pothole in Seagrass. - Maryam Rahnemoonfar; Masoud Yari; Abdullah Rahman; Richard Kline (CVPR Workshops, 2017)

Improved Locally Linear Embedding for Big-data Classification. - Andres Ramirez; Maryam Rahnemoonfar (BigSpatial@SIGSPATIAL, 2017)

Automatic Ice thickness estimation in radar imagery based on charged particles concept. - Maryam Rahnemoonfar; Amin Abbasi Habashi; John Paden; Geoffrey C. Fox (IGARSS, 2017)

Real-time scene understanding for UAV imagery based on deep convolutional neural networks. - Clay Sheppard; Maryam Rahnemoonfar (IGARSS, 2017)

Deep Count: Fruit Counting Based on Deep Simulated Learning. - Maryam Rahnemoonfar; Clay Sheppard (Sensors, 2017)

Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach. - Maryam Rahnemoonfar; Geoffrey Charles Fox; Masoud Yari; John Paden (IEEE Trans. Geosci. Remote. Sens., 2017)

Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras. - Maryam Rahnemoonfar; Hend Alkittawi (IEEE BigData, 2018)

Deep Hybrid Wavelet Network for Ice Boundary Detection in Radra Imagery. - Hamid Kamangir; Maryam Rahnemoonfar; Dugan Dobbs; John Paden; Geoffrey C. Fox (IGARSS, 2018)

Flooded Area Detection from Uav Images Based on Densely Connected Recurrent Neural Networks. - Maryam Rahnemoonfar; Robin R. Murphy; Marina Vicens Miquel; Dugan Dobbs; Ashton Adams (IGARSS, 2018)

Fluorescence microscopy image segmentation based on graph and fuzzy methods: A comparison with ensemble method. - Maedeh Beheshti; Akash Ashapure; Maryam Rahnemoonfar; Jolon Faichney (J. Intell. Fuzzy Syst., 2018)

Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning. - Masoud Yari; Maryam Rahnemoonfar; John Paden; Ibikunle Oluwanisola; Lora Koenig; Lynn Montgomery (IEEE BigData, 2019)

Semantic Segmentation of Underwater Sonar Imagery with Deep Learning. - Maryam Rahnemoonfar; Dugan Dobbs (IGARSS, 2019)

DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery. - Maryam Rahnemoonfar; Dugan Dobbs; Masoud Yari; Michael J. Starek (Remote. Sens., 2019)

AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network. - Maryam Rahnemoonfar; Jimmy Johnson; John Paden (Sensors, 2019)

Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. - Tashnim Chowdhury; Maryam Rahnemoonfar; Robin R. Murphy; Odair Fernandes (IEEE BigData, 2020)

Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. - Debvrat Varshney; Maryam Rahnemoonfar; Masoud Yari; John Paden (IEEE BigData, 2020)

Snow Radar Layer Tracking Using Iterative Neural Network Approach. - Oluwanisola Ibikunle; John Paden; Maryam Rahnemoonfar; David J. Crandall; Masoud Yari (IGARSS, 2020)

Radar Sensor Simulation with Generative Adversarial Network. - Maryam Rahnemoonfar; Masoud Yari; John Paden (IGARSS, 2020)

Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers. - Masoud Yari; Maryam Rahnemoonfar; John Paden (IGARSS, 2020)

Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. - Farshad Safavi; Tashnim Chowdhury; Maryam Rahnemoonfar (IEEE BigData, 2021)

UAV-VQG: Visual Question Generation Framework on UAV Images. - Argho Sarkar; Maryam Rahnemoonfar (IEEE BigData, 2021)

Self Attention Based Semantic Segmentation on a Natural Disaster Dataset. - Tashnim Chowdhury; Maryam Rahnemoonfar (ICIP, 2021)

Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. - Tashnim Chowdhury; Maryam Rahnemoonfar (IGARSS, 2021)

VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. - Argho Sarkar; Maryam Rahnemoonfar (IGARSS, 2021)

Regression Networks for Calculating Englacial Layer Thickness. - Debvrat Varshney; Maryam Rahnemoonfar; Masoud Yari; John Paden (IGARSS, 2021)

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. - Maryam Rahnemoonfar; Tashnim Chowdhury; Argho Sarkar; Debvrat Varshney; Masoud Yari; Robin Roberson Murphy (IEEE Access, 2021)

Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet. - Debvrat Varshney; Maryam Rahnemoonfar; Masoud Yari; John Paden; Oluwanisola Ibikunle; Jilu Li (Remote. Sens., 2021)

Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods. - Masoud Yari; Oluwanisola Ibikunle; Debvrat Varshney; Tashnim Chowdhury; Argho Sarkar; John Paden; Jilu Li; Maryam Rahnemoonfar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Grad-Cam Aware Supervised Attention for Visual Question Answering for Post-Disaster Damage Assessment. - Argho Sarkar; Maryam Rahnemoonfar (ICIP, 2022)

Learning Snow Layer Thickness Through Physics Defined Labels. - Debvrat Varshney; Oluwanisola Ibikunle; John Paden; Maryam Rahnemoonfar (IGARSS, 2022)

RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment. - Tashnim Chowdhury; Robin R. Murphy; Maryam Rahnemoonfar (CoRR, 2022)

Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. - Benjamin Zalatan; Maryam Rahnemoonfar (ICIP, 2023)

ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings. - Oluwanisola Ibikunle; Debvrat Varshney; Jilu Li; Maryam Rahnemoonfar; John Paden (IGARSS, 2023)

Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning. - Maryam Rahnemoonfar; Farshad Safavi (IGARSS, 2023)

RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment. - Argho Sarkar; Maryam Rahnemoonfar (IGARSS, 2023)

Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach. - Benjamin Zalatan; Maryam Rahnemoonfar (IGARSS, 2023)

Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar. - Benjamin Zalatan; Maryam Rahnemoonfar (CoRR, 2023)

Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region. - Argho Sarkar; Maryam Rahnemoonfar (CoRR, 2023)

Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms. - Debvrat Varshney; Masoud Yari; Oluwanisola Ibikunle; Jilu Li; John Paden; Maryam Rahnemoonfar (CoRR, 2023)

Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean. - Younghyun Koo; Maryam Rahnemoonfar (CoRR, 2023)

Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events. - Farshad Safavi; Maryam Rahnemoonfar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery. - Argho Sarkar; Tashnim Chowdhury; Robin Roberson Murphy; Aryya Gangopadhyay; Maryam Rahnemoonfar (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Spectral Siamese Network For Heterogeneous Object Verification In Amazon Robotic Warehouse. - Maryam Rahnemoonfar (ICIP, 2024)

Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model. - Xiyang Hu; Maryam Rahnemoonfar (IGARSS, 2024)

Graph Neural Network as Computationally Efficient Emulator Of Ice-Sheet And Sea-Level System Model (ISSM). - Younghyun Koo; Maryam Rahnemoonfar (IGARSS, 2024)

Physics-informed Machine Learning for Deep Ice Layer Tracing in SAR images. - Maryam Rahnemoonfar; Benjamin Zalatan (IGARSS, 2024)

Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling. - Maryam Rahnemoonfar; Younghyun Koo (CoRR, 2024)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices. - Hasib-Al Rashid; Argho Sarkar; Aryya Gangopadhyay; Maryam Rahnemoonfar; Tinoosh Mohsenin (CoRR, 2024)

Physics-Informed Machine Learning On Polar Ice: A Survey. - Zesheng Liu; Younghyun Koo; Maryam Rahnemoonfar (CoRR, 2024)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2024)

Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets. - Younghyun Koo; Maryam Rahnemoonfar (CoRR, 2024)

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2024)

Hierarchical Information-Sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity. - Younghyun Koo; Maryam Rahnemoonfar (IEEE Trans. Geosci. Remote. Sens., 2024)

Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency. - Arnab Neelim Mazumder; Farshad Safavi; Maryam Rahnemoonfar; Tinoosh Mohsenin (ACM Trans. Embed. Comput. Syst., 2024)

AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring. - Oluwanisola Ibikunle; Hara Talasila; Debvrat Varshney; Jilu Li; John Paden; Maryam Rahnemoonfar (CoRR, 2025)

ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment. - Ehsan Karimi; Maryam Rahnemoonfar (CoRR, 2025)

GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2025)

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction. - Zesheng Liu; Maryam Rahnemoonfar (CoRR, 2025)