Maryam Rahnemoonfar

Orcid: 0000-0001-9358-2836

According to our database1, Maryam Rahnemoonfar authored at least 49 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling.
CoRR, 2024

2023
SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean.
CoRR, 2023

Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms.
CoRR, 2023

Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region.
CoRR, 2023

Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar.
CoRR, 2023

Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment.
CoRR, 2022

Learning Snow Layer Thickness Through Physics Defined Labels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Grad-Cam Aware Supervised Attention for Visual Question Answering for Post-Disaster Damage Assessment.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet.
Remote. Sens., 2021

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding.
IEEE Access, 2021

Regression Networks for Calculating Englacial Layer Thickness.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Self Attention Based Semantic Segmentation on a Natural Disaster Dataset.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

UAV-VQG: Visual Question Generation Framework on UAV Images.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Radar Sensor Simulation with Generative Adversarial Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Snow Radar Layer Tracking Using Iterative Neural Network Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network.
Sensors, 2019

DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery.
Remote. Sens., 2019

Semantic Segmentation of Underwater Sonar Imagery with Deep Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Fluorescence microscopy image segmentation based on graph and fuzzy methods: A comparison with ensemble method.
J. Intell. Fuzzy Syst., 2018

Flooded Area Detection from Uav Images Based on Densely Connected Recurrent Neural Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Deep Hybrid Wavelet Network for Ice Boundary Detection in Radra Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach.
IEEE Trans. Geosci. Remote. Sens., 2017

Deep Count: Fruit Counting Based on Deep Simulated Learning.
Sensors, 2017

Real-time scene understanding for UAV imagery based on deep convolutional neural networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Automatic Ice thickness estimation in radar imagery based on charged particles concept.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Improved Locally Linear Embedding for Big-data Classification.
Proceedings of the 6th ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data, 2017

The First Automatic Method for Mapping the Pothole in Seagrass.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015
Mobile-based text recognition from water quality devices.
Proceedings of the Mobile Devices and Multimedia: Enabling Technologies, 2015

2013
Automatic performance evaluation of dewarping methods in large scale digitization of historical documents.
Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

DEM Generation with SAR Interferometry Based on Weighted Wavelet Phase Unwrapping.
Proceedings of the Fourth International Conference on Computing for Geospatial Research and Application, 2013

2011
Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2010
Correction of arbitrary geometric artefacts in historical documents.
PhD thesis, 2010

2005
Two dimensional phase unwrapping of interferometric SAR data by means of wavelet technique.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005


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