Maryam Rahnemoonfar

79 papers A 1B 4C 20Journal 42Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	3D Semantic Segmentation for Post-Disaster Assessment. CoRR Nhut Le, Maryam Rahnemoonfar
2025	J	`jnl`	3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment. CoRR Nhut Le, Ehsan Karimi, Maryam Rahnemoonfar
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	J	`jnl`	GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction. CoRR Zesheng Liu, Maryam Rahnemoonfar
2025	J	`jnl`	GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction. CoRR Zesheng Liu, Maryam Rahnemoonfar
2025	J	`jnl`	KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator. CoRR Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar
2025	J	`jnl`	Prediction of Sea Ice Velocity and Concentration in the Arctic Ocean using Physics-informed Neural Network. CoRR Younghyun Koo, Maryam Rahnemoonfar
2025	J	`jnl`	ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction. CoRR Zesheng Liu, Maryam Rahnemoonfar
2025	J	`jnl`	Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment. CoRR Ehsan Karimi, Nhut Le, Maryam Rahnemoonfar
2025	J	`jnl`	ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment. CoRR Ehsan Karimi, Maryam Rahnemoonfar
2024	B	`conf`	Deep Spectral Siamese Network For Heterogeneous Object Verification In Amazon Robotic Warehouse. ICIP Maryam Rahnemoonfar
2024	C	`conf`	Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model. IGARSS Xiyang Hu, Maryam Rahnemoonfar
2024	C	`conf`	Graph Neural Network as Computationally Efficient Emulator Of Ice-Sheet And Sea-Level System Model (ISSM). IGARSS Younghyun Koo, Maryam Rahnemoonfar
2024	J	`jnl`	Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM). CoRR Younghyun Koo, Maryam Rahnemoonfar
2024	J	`jnl`	Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling. CoRR Maryam Rahnemoonfar, Younghyun Koo
2024	J	`jnl`	Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets. CoRR Younghyun Koo, Maryam Rahnemoonfar
2024	J	`jnl`	Hierarchical Information-Sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity. IEEE Trans. Geosci. Remote. Sens. Younghyun Koo, Maryam Rahnemoonfar
2024	J	`jnl`	Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network. CoRR Zesheng Liu, Maryam Rahnemoonfar
2024	J	`jnl`	Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction. CoRR Zesheng Liu, Maryam Rahnemoonfar
2024	J	`jnl`	Physics-Informed Machine Learning On Polar Ice: A Survey. CoRR Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar
2024	C	`conf`	Physics-informed Machine Learning for Deep Ice Layer Tracing in SAR images. IGARSS Maryam Rahnemoonfar, Benjamin Zalatan
2024	J	`jnl`	Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency. ACM Trans. Embed. Comput. Syst. Arnab Neelim Mazumder, Farshad Safavi, Maryam Rahnemoonfar, Tinoosh Mohsenin
2024	J	`jnl`	TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices. CoRR Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay, Maryam Rahnemoonfar, Tinoosh Mohsenin
2023	J	`jnl`	Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Farshad Safavi, Maryam Rahnemoonfar
2023	C	`conf`	ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings. IGARSS Oluwanisola Ibikunle, Debvrat Varshney, Jilu Li, Maryam Rahnemoonfar, John Paden
2023	C	`conf`	Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning. IGARSS Maryam Rahnemoonfar, Farshad Safavi
2023	J	`jnl`	Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean. CoRR Younghyun Koo, Maryam Rahnemoonfar
2023	J	`jnl`	Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region. CoRR Argho Sarkar, Maryam Rahnemoonfar
2023	C	`conf`	Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach. IGARSS Benjamin Zalatan, Maryam Rahnemoonfar
2023	J	`jnl`	Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach. CoRR Benjamin Zalatan, Maryam Rahnemoonfar
2023	B	`conf`	Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. ICIP Benjamin Zalatan, Maryam Rahnemoonfar
2023	J	`jnl`	Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. CoRR Benjamin Zalatan, Maryam Rahnemoonfar
2023	C	`conf`	RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment. IGARSS Argho Sarkar, Maryam Rahnemoonfar
2023	J	`jnl`	Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar. CoRR Benjamin Zalatan, Maryam Rahnemoonfar
2023	J	`jnl`	SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. Argho Sarkar, Tashnim Chowdhury, Robin Roberson Murphy, Aryya Gangopadhyay, Maryam Rahnemoonfar
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	B	`conf`	Grad-Cam Aware Supervised Attention for Visual Question Answering for Post-Disaster Damage Assessment. ICIP Argho Sarkar, 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`	RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment. CoRR Tashnim Chowdhury, Robin R. Murphy, Maryam Rahnemoonfar
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	C	`conf`	Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. IGARSS Tashnim Chowdhury, Maryam Rahnemoonfar
2021	J	`jnl`	Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. CoRR Tashnim Chowdhury, Maryam Rahnemoonfar
2021	—	`conf`	Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. IEEE BigData Farshad Safavi, Tashnim Chowdhury, Maryam Rahnemoonfar
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
2021	B	`conf`	Self Attention Based Semantic Segmentation on a Natural Disaster Dataset. ICIP Tashnim Chowdhury, Maryam Rahnemoonfar
2021	—	`conf`	UAV-VQG: Visual Question Generation Framework on UAV Images. IEEE BigData Argho Sarkar, Maryam Rahnemoonfar
2021	C	`conf`	VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. IGARSS Argho Sarkar, Maryam Rahnemoonfar
2021	J	`jnl`	VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. CoRR Argho Sarkar, Maryam Rahnemoonfar
2020	—	`conf`	Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. IEEE BigData Tashnim Chowdhury, Maryam Rahnemoonfar, Robin R. Murphy, Odair Fernandes
2020	J	`jnl`	Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. CoRR Maryam Rahnemoonfar, Tashnim Chowdhury, Robin R. Murphy, Odair Fernandes
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
2020	C	`conf`	Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers. IGARSS Masoud Yari, Maryam Rahnemoonfar, John Paden
2020	C	`conf`	Radar Sensor Simulation with Generative Adversarial Network. IGARSS Maryam Rahnemoonfar, Masoud Yari, John Paden
2020	C	`conf`	Snow Radar Layer Tracking Using Iterative Neural Network Approach. IGARSS Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David J. Crandall, Masoud Yari
2019	J	`jnl`	AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network. Sensors Maryam Rahnemoonfar, Jimmy Johnson, John Paden
2019	J	`jnl`	DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery. Remote. Sens. Maryam Rahnemoonfar, Dugan Dobbs, Masoud Yari, Michael J. Starek
2019	C	`conf`	Semantic Segmentation of Underwater Sonar Imagery with Deep Learning. IGARSS Maryam Rahnemoonfar, Dugan Dobbs
2019	—	`conf`	Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning. IEEE BigData Masoud Yari, Maryam Rahnemoonfar, John Paden, Ibikunle Oluwanisola, Lora Koenig, Lynn Montgomery
2018	C	`conf`	Deep Hybrid Wavelet Network for Ice Boundary Detection in Radra Imagery. IGARSS Hamid Kamangir, Maryam Rahnemoonfar, Dugan Dobbs, John Paden, Geoffrey C. Fox
2018	C	`conf`	Flooded Area Detection from Uav Images Based on Densely Connected Recurrent Neural Networks. IGARSS Maryam Rahnemoonfar, Robin R. Murphy, Marina Vicens Miquel, Dugan Dobbs, Ashton Adams
2018	J	`jnl`	Fluorescence microscopy image segmentation based on graph and fuzzy methods: A comparison with ensemble method. J. Intell. Fuzzy Syst. Maedeh Beheshti, Akash Ashapure, Maryam Rahnemoonfar, Jolon Faichney
2018	—	`conf`	Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras. IEEE BigData Maryam Rahnemoonfar, Hend Alkittawi
2017	J	`jnl`	Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach. IEEE Trans. Geosci. Remote. Sens. Maryam Rahnemoonfar, Geoffrey Charles Fox, Masoud Yari, John Paden
2017	C	`conf`	Automatic Ice thickness estimation in radar imagery based on charged particles concept. IGARSS Maryam Rahnemoonfar, Amin Abbasi Habashi, John Paden, Geoffrey C. Fox
2017	J	`jnl`	Deep Count: Fruit Counting Based on Deep Simulated Learning. Sensors Maryam Rahnemoonfar, Clay Sheppard
2017	—	`conf`	Improved Locally Linear Embedding for Big-data Classification. BigSpatial@SIGSPATIAL Andres Ramirez, Maryam Rahnemoonfar
2017	C	`conf`	Real-time scene understanding for UAV imagery based on deep convolutional neural networks. IGARSS Clay Sheppard, Maryam Rahnemoonfar
2017	—	`conf`	The First Automatic Method for Mapping the Pothole in Seagrass. CVPR Workshops Maryam Rahnemoonfar, Masoud Yari, Abdullah Rahman, Richard Kline
2015	—	`conf`	Mobile-based text recognition from water quality devices. MOBMU Shanti Dhakal, Maryam Rahnemoonfar
2013	—	`conf`	Automatic performance evaluation of dewarping methods in large scale digitization of historical documents. JCDL Maryam Rahnemoonfar, Beth Plale
2013	—	`conf`	DEM Generation with SAR Interferometry Based on Weighted Wavelet Phase Unwrapping. COM.Geo Maryam Rahnemoonfar, Beth Plale
2011	A	`conf`	Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines. ICDAR Maryam Rahnemoonfar, Apostolos Antonacopoulos
2010	—	`—`	Correction of arbitrary geometric artefacts in historical documents. Maryam Rahnemoonfar
2005	C	`conf`	Two dimensional phase unwrapping of interferometric SAR data by means of wavelet technique. IGARSS Maryam Rahnemoonfar, Mohammad Rahmati, Ahad Tavakoli, M. R. Saradjian