Maryam Rahnemoonfar

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 57

Top Venues

University of Salford, UK (PHD)

Education History

University of Salford, UK

PHD

Publications

Younghyun Koo, Maryam Rahnemoonfar
Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets. CoRR (2024)
Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay, Maryam Rahnemoonfar, Tinoosh Mohsenin
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices. CoRR (2024)
Arnab Neelim Mazumder, Farshad Safavi, Maryam Rahnemoonfar, Tinoosh Mohsenin
Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Maryam Rahnemoonfar, Younghyun Koo
Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling. CoRR (2024)
Younghyun Koo, Maryam Rahnemoonfar
Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM). CoRR (2024)
Zesheng Liu, Maryam Rahnemoonfar
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network. CoRR (2024)
Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar
Physics-Informed Machine Learning On Polar Ice: A Survey. CoRR (2024)
Debvrat Varshney, Masoud Yari, Oluwanisola Ibikunle, Jilu Li, John Paden, Maryam Rahnemoonfar
Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms. CoRR (2023)
Benjamin Zalatan, Maryam Rahnemoonfar
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. CoRR (2023)
Benjamin Zalatan, Maryam Rahnemoonfar
Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar. CoRR (2023)
Oluwanisola Ibikunle, Debvrat Varshney, Jilu Li, Maryam Rahnemoonfar, John Paden
ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings. IGARSS (2023)
Maryam Rahnemoonfar, Farshad Safavi
Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning. IGARSS (2023)
Argho Sarkar, Maryam Rahnemoonfar
RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment. IGARSS (2023)
Benjamin Zalatan, Maryam Rahnemoonfar
Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach. IGARSS (2023)
Benjamin Zalatan, Maryam Rahnemoonfar
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. ICIP (2023)
Argho Sarkar, Tashnim Chowdhury, Robin Roberson Murphy, Aryya Gangopadhyay, Maryam Rahnemoonfar
SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Argho Sarkar, Maryam Rahnemoonfar
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region. CoRR (2023)
Younghyun Koo, Maryam Rahnemoonfar
Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean. CoRR (2023)
Benjamin Zalatan, Maryam Rahnemoonfar
Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach. CoRR (2023)
Farshad Safavi, Maryam Rahnemoonfar
Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Debvrat Varshney, Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar
Learning Snow Layer Thickness Through Physics Defined Labels. IGARSS (2022)
Argho Sarkar, Maryam Rahnemoonfar
Grad-Cam Aware Supervised Attention for Visual Question Answering for Post-Disaster Damage Assessment. ICIP (2022)
Tashnim Chowdhury, Robin R. Murphy, Maryam Rahnemoonfar
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment. CoRR (2022)
Argho Sarkar, Maryam Rahnemoonfar
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. CoRR (2021)
Tashnim Chowdhury, Maryam Rahnemoonfar
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. CoRR (2021)
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden
Regression Networks for Calculating Englacial Layer Thickness. IGARSS (2021)
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin Roberson Murphy
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. IEEE Access 9 (2021)
Argho Sarkar, Maryam Rahnemoonfar
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. IGARSS (2021)
Tashnim Chowdhury, Maryam Rahnemoonfar
Self Attention Based Semantic Segmentation on a Natural Disaster Dataset. ICIP (2021)
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden
Regression Networks For Calculating Englacial Layer Thickness. CoRR (2021)
Masoud Yari, Oluwanisola Ibikunle, Debvrat Varshney, Tashnim Chowdhury, Argho Sarkar, John Paden, Jilu Li, Maryam Rahnemoonfar
Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Farshad Safavi, Tashnim Chowdhury, Maryam Rahnemoonfar
Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. IEEE BigData (2021)
Tashnim Chowdhury, Maryam Rahnemoonfar
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. IGARSS (2021)
Argho Sarkar, Maryam Rahnemoonfar
UAV-VQG: Visual Question Generation Framework on UAV Images. IEEE BigData (2021)
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden, Oluwanisola Ibikunle, Jilu Li
Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet. Remote. Sens. 13 (14) (2021)
Maryam Rahnemoonfar, Debvrat Varshney, Masoud Yari, John Paden
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. CoRR (2020)
Tashnim Chowdhury, Maryam Rahnemoonfar, Robin R. Murphy, Odair Fernandes
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. IEEE BigData (2020)
Maryam Rahnemoonfar, Masoud Yari, John Paden
Radar Sensor Simulation with Generative Adversarial Network. IGARSS (2020)
Maryam Rahnemoonfar, Tashnim Chowdhury, Robin R. Murphy, Odair Fernandes
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. CoRR (2020)
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin R. Murphy
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. CoRR (2020)
Masoud Yari, Maryam Rahnemoonfar, John Paden
Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers. IGARSS (2020)
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. IEEE BigData (2020)
Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David J. Crandall, Masoud Yari
Snow Radar Layer Tracking Using Iterative Neural Network Approach. IGARSS (2020)
Maryam Rahnemoonfar, Jimmy Johnson, John Paden
AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network. Sensors 19 (24) (2019)
Maryam Rahnemoonfar, Dugan Dobbs, Masoud Yari, Michael J. Starek
DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery. Remote. Sens. 11 (9) (2019)
Maryam Rahnemoonfar, Dugan Dobbs
Semantic Segmentation of Underwater Sonar Imagery with Deep Learning. IGARSS (2019)
Masoud Yari, Maryam Rahnemoonfar, John Paden, Ibikunle Oluwanisola, Lora Koenig, Lynn Montgomery
Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning. IEEE BigData (2019)
Maryam Rahnemoonfar, Robin R. Murphy, Marina Vicens Miquel, Dugan Dobbs, Ashton Adams
Flooded Area Detection from Uav Images Based on Densely Connected Recurrent Neural Networks. IGARSS (2018)
Hamid Kamangir, Maryam Rahnemoonfar, Dugan Dobbs, John Paden, Geoffrey C. Fox
Deep Hybrid Wavelet Network for Ice Boundary Detection in Radra Imagery. IGARSS (2018)
Maryam Rahnemoonfar, Hend Alkittawi
Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras. IEEE BigData (2018)
Maedeh Beheshti, Akash Ashapure, Maryam Rahnemoonfar, Jolon Faichney
Fluorescence microscopy image segmentation based on graph and fuzzy methods: A comparison with ensemble method. J. Intell. Fuzzy Syst. 34 (4) (2018)
Maryam Rahnemoonfar, Masoud Yari, Abdullah Rahman, Richard Kline
The First Automatic Method for Mapping the Pothole in Seagrass. CVPR Workshops (2017)
Maryam Rahnemoonfar, Geoffrey Charles Fox, Masoud Yari, John Paden
Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach. IEEE Trans. Geosci. Remote. Sens. 55 (9) (2017)
Maryam Rahnemoonfar, Clay Sheppard
Deep Count: Fruit Counting Based on Deep Simulated Learning. Sensors 17 (4) (2017)
Clay Sheppard, Maryam Rahnemoonfar
Real-time scene understanding for UAV imagery based on deep convolutional neural networks. IGARSS (2017)
Maryam Rahnemoonfar, Amin Abbasi Habashi, John Paden, Geoffrey C. Fox
Automatic Ice thickness estimation in radar imagery based on charged particles concept. IGARSS (2017)
Andres Ramirez, Maryam Rahnemoonfar
Improved Locally Linear Embedding for Big-data Classification. BigSpatial@SIGSPATIAL (2017)
Shanti Dhakal, Maryam Rahnemoonfar
Mobile-based text recognition from water quality devices. MOBMU (2015)
Maryam Rahnemoonfar, Beth Plale
Automatic performance evaluation of dewarping methods in large scale digitization of historical documents. JCDL (2013)
Maryam Rahnemoonfar, Beth Plale
DEM Generation with SAR Interferometry Based on Weighted Wavelet Phase Unwrapping. COM.Geo (2013)
Maryam Rahnemoonfar, Apostolos Antonacopoulos
Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines. ICDAR (2011)
Maryam Rahnemoonfar, Mohammad Rahmati, Ahad Tavakoli, M. R. Saradjian
Two dimensional phase unwrapping of interferometric SAR data by means of wavelet technique. IGARSS (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maryam Rahnemoonfar