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2020 – today
- 2024
[j11]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): 44:1-44:28 (2024)- [c35]Younghyun Koo, Maryam Rahnemoonfar:
Graph Neural Network as Computationally Efficient Emulator Of Ice-Sheet And Sea-Level System Model (ISSM). IGARSS 2024: 32-36 - [c34]Xiyang Hu, Maryam Rahnemoonfar:
Flood Simulation: Integrating UAS Imagery and Ai-Generated Data With Diffusion Model. IGARSS 2024: 565-568 - [c33]Maryam Rahnemoonfar, Benjamin Zalatan:
Physics-informed Machine Learning for Deep Ice Layer Tracing in SAR images. IGARSS 2024: 6938-6942 - [i19]Maryam Rahnemoonfar, Younghyun Koo:
Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling. CoRR abs/2402.05291 (2024) - [i18]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 abs/2404.03574 (2024) - [i17]Zesheng Liu, Younghyun Koo, Maryam Rahnemoonfar:
Physics-Informed Machine Learning On Polar Ice: A Survey. CoRR abs/2404.19536 (2024) - [i16]Zesheng Liu, Maryam Rahnemoonfar:
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network. CoRR abs/2406.15299 (2024) - [i15]Younghyun Koo, Maryam Rahnemoonfar:
Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets. CoRR abs/2406.18423 (2024) - [i14]Younghyun Koo, Maryam Rahnemoonfar:
Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM). CoRR abs/2407.01464 (2024) - 2023
- [j10]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: 15-31 (2023) - [j9]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: 1-16 (2023) - [c32]Benjamin Zalatan, Maryam Rahnemoonfar:
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. ICIP 2023: 2835-2839 - [c31]Argho Sarkar, Maryam Rahnemoonfar:
RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment. IGARSS 2023: 1150-1153 - [c30]Maryam Rahnemoonfar, Farshad Safavi:
Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning. IGARSS 2023: 1668-1671 - [c29]Benjamin Zalatan, Maryam Rahnemoonfar:
Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach. IGARSS 2023: 5344-5347 - [c28]Oluwanisola Ibikunle, Debvrat Varshney, Jilu Li, Maryam Rahnemoonfar, John Paden:
ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings. IGARSS 2023: 8162-8165 - [i13]Benjamin Zalatan, Maryam Rahnemoonfar:
Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar. CoRR abs/2302.00817 (2023) - [i12]Argho Sarkar, Maryam Rahnemoonfar:
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region. CoRR abs/2303.07403 (2023) - [i11]Benjamin Zalatan, Maryam Rahnemoonfar:
Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach. CoRR abs/2306.13181 (2023) - [i10]Benjamin Zalatan, Maryam Rahnemoonfar:
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks. CoRR abs/2306.13690 (2023) - [i9]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 abs/2310.19574 (2023) - [i8]Younghyun Koo, Maryam Rahnemoonfar:
Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean. CoRR abs/2311.00167 (2023) - 2022
- [c27]Argho Sarkar, Maryam Rahnemoonfar:
Grad-Cam Aware Supervised Attention for Visual Question Answering for Post-Disaster Damage Assessment. ICIP 2022: 3783-3787 - [c26]Debvrat Varshney, Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar:
Learning Snow Layer Thickness Through Physics Defined Labels. IGARSS 2022: 1233-1236 - [i7]Tashnim Chowdhury, Robin R. Murphy, Maryam Rahnemoonfar:
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment. CoRR abs/2202.12361 (2022) - 2021
- [j8]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: 89644-89654 (2021) - [j7]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): 2707 (2021) - [j6]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: 12035-12047 (2021) - [c25]Farshad Safavi, Tashnim Chowdhury, Maryam Rahnemoonfar:
Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. IEEE BigData 2021: 4199-4207 - [c24]Argho Sarkar, Maryam Rahnemoonfar:
UAV-VQG: Visual Question Generation Framework on UAV Images. IEEE BigData 2021: 4211-4219 - [c23]Tashnim Chowdhury, Maryam Rahnemoonfar:
Self Attention Based Semantic Segmentation on a Natural Disaster Dataset. ICIP 2021: 2798-2802 - [c22]Tashnim Chowdhury, Maryam Rahnemoonfar:
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. IGARSS 2021: 2325-2328 - [c21]Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Regression Networks for Calculating Englacial Layer Thickness. IGARSS 2021: 2393-2396 - [c20]Argho Sarkar, Maryam Rahnemoonfar:
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. IGARSS 2021: 8660-8663 - [i6]Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Regression Networks For Calculating Englacial Layer Thickness. CoRR abs/2104.04654 (2021) - [i5]Tashnim Chowdhury, Maryam Rahnemoonfar:
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment. CoRR abs/2105.14540 (2021) - [i4]Argho Sarkar, Maryam Rahnemoonfar:
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis. CoRR abs/2106.10548 (2021) - 2020
- [c19]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: 3904-3913 - [c18]Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. IEEE BigData 2020: 3943-3952 - [c17]Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David J. Crandall, Masoud Yari:
Snow Radar Layer Tracking Using Iterative Neural Network Approach. IGARSS 2020: 2960-2963 - [c16]Masoud Yari, Maryam Rahnemoonfar, John Paden:
Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers. IGARSS 2020: 6934-6937 - [c15]Maryam Rahnemoonfar, Masoud Yari, John Paden:
Radar Sensor Simulation with Generative Adversarial Network. IGARSS 2020: 7001-7004 - [i3]Maryam Rahnemoonfar, Debvrat Varshney, Masoud Yari, John Paden:
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. CoRR abs/2009.00191 (2020) - [i2]Maryam Rahnemoonfar, Tashnim Chowdhury, Robin R. Murphy, Odair Fernandes:
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. CoRR abs/2009.01193 (2020) - [i1]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 abs/2012.02951 (2020)
2010 – 2019
- 2019
- [j5]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): 1128 (2019) - [j4]Maryam Rahnemoonfar, Jimmy Johnson, John Paden:
AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network. Sensors 19(24): 5479 (2019) - [c14]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: 5462-5468 - [c13]Maryam Rahnemoonfar, Dugan Dobbs:
Semantic Segmentation of Underwater Sonar Imagery with Deep Learning. IGARSS 2019: 9455-9458 - 2018
- [j3]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): 2563-2578 (2018) - [c12]Maryam Rahnemoonfar, Hend Alkittawi:
Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras. IEEE BigData 2018: 2868-2873 - [c11]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: 1788-1791 - [c10]Hamid Kamangir, Maryam Rahnemoonfar, Dugan Dobbs, John Paden, Geoffrey C. Fox:
Deep Hybrid Wavelet Network for Ice Boundary Detection in Radra Imagery. IGARSS 2018: 3449-3452 - 2017
- [j2]Maryam Rahnemoonfar, Clay Sheppard:
Deep Count: Fruit Counting Based on Deep Simulated Learning. Sensors 17(4): 905 (2017) - [j1]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): 5115-5122 (2017) - [c9]Maryam Rahnemoonfar, Masoud Yari, Abdullah Rahman, Richard Kline:
The First Automatic Method for Mapping the Pothole in Seagrass. CVPR Workshops 2017: 267-274 - [c8]Andres Ramirez, Maryam Rahnemoonfar:
Improved Locally Linear Embedding for Big-data Classification. BigSpatial@SIGSPATIAL 2017: 37-41 - [c7]Clay Sheppard, Maryam Rahnemoonfar:
Real-time scene understanding for UAV imagery based on deep convolutional neural networks. IGARSS 2017: 2243-2246 - [c6]Maryam Rahnemoonfar, Amin Abbasi Habashi, John Paden, Geoffrey C. Fox:
Automatic Ice thickness estimation in radar imagery based on charged particles concept. IGARSS 2017: 3743-3746 - 2015
- [c5]Shanti Dhakal, Maryam Rahnemoonfar:
Mobile-based text recognition from water quality devices. MOBMU 2015: 941105 - 2013
- [c4]Maryam Rahnemoonfar, Beth Plale:
DEM Generation with SAR Interferometry Based on Weighted Wavelet Phase Unwrapping. COM.Geo 2013: 87-91 - [c3]Maryam Rahnemoonfar, Beth Plale:
Automatic performance evaluation of dewarping methods in large scale digitization of historical documents. JCDL 2013: 331-334 - 2011
- [c2]Maryam Rahnemoonfar, Apostolos Antonacopoulos:
Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines. ICDAR 2011: 905-909 - 2010
- [b1]Maryam Rahnemoonfar:
Correction of arbitrary geometric artefacts in historical documents. University of Salford, UK, 2010
2000 – 2009
- 2005
- [c1]Maryam Rahnemoonfar, Mohammad Rahmati, Ahad Tavakoli, M. R. Saradjian:
Two dimensional phase unwrapping of interferometric SAR data by means of wavelet technique. IGARSS 2005: 5467-5470
Coauthor Index
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last updated on 2024-09-28 01:30 CEST by the dblp team
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