| FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding M Rahnemoonfar, T Chowdhury, A Sarkar, D Varshney, M Yari, R Murphy IEEE Access, 2020 | 277 | 2020 |
| SAM-VQA: Supervised Attention-Based Visual Question Answering Model for Post-Disaster Damage Assessment on Remote Sensing Imagery A Sarkar, T Chowdhury, R Murphy, A Gangopadhyay, M Rahnemoonfar IEEE Transactions on Geoscience and Remote Sensing, 2023 | 31 | 2023 |
| Vqa-aid: Visual question answering for post-disaster damage assessment and analysis A Sarkar, M Rahnemoonfar 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8660 …, 2021 | 20 | 2021 |
| Grad-cam aware supervised attention for visual question answering for post-disaster damage assessment A Sarkar, M Rahnemoonfar 2022 IEEE International Conference on Image Processing (ICIP), 3783-3787, 2022 | 11 | 2022 |
| Airborne snow radar data simulation with deep learning and physics-driven methods M Yari, O Ibikunle, D Varshney, T Chowdhury, A Sarkar, J Paden, J Li, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 10 | 2021 |
| UAV-VQG: Visual Question Generation Framework on UAV Images A Sarkar, M Rahnemoonfar 2021 IEEE International Conference on Big Data (Big Data), 2022 | 5 | 2022 |
| Visual question answering: A deep interactive framework for post-disaster management and damage assessment A Sarkar, M Rahnemoonfar UMBC Student Collection, 2021 | 4 | 2021 |
| RESCUENet-VQA: A Large-Scale Visual Question Answering Benchmark for Damage Assessment A Sarkar, M Rahnemoonfar IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023 | 2 | 2023 |
| TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices HA Rashid, A Sarkar, A Gangopadhyay, M Rahnemoonfar, T Mohsenin arXiv preprint arXiv:2404.03574, 2024 | 1 | 2024 |
| Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region A Sarkar, M Rahnemoonfar | 1 | 2023 |
| Towards Explainable Machine Learning Models for Remote Sensing: Multi-modal and Uni-Modal Applications for Natural Disaster A Sarkar University of Maryland, Baltimore County, 2024 | | 2024 |
| Leveraging Synthetic Image Data for Real-World Applications: Enhancing Nuclear Safeguards and Capabilities through AI/ML R Alvarez, JJA Hastings, A Gazda, A Sarkar, P Sivasankar, D Nyarko AGU Fall Meeting Abstracts 2023 (976), GC21F-0976, 2023 | | 2023 |
| Finding Indicators of Nuclear Activity in Open-Source Images using AI/ML. An Interorganizational Approach to Increase Nuclear Safeguards R Alvarez, A Gazda, A Sarkar, D Nyarko, JJA Hastings, P Sivasankar AGU23, 2023 | | 2023 |
| Multi-Modal Foundation Model for Generalizable Disaster Damage Assessment on Remote-Sensing Imagery A Sarkar, M Rahnemoonfar AGU2023, 2023 | | 2023 |
| Explainable Visual Question Answering for Medical Domain S Purushotham, A Sarkar WSDM Healthcare Day, 2020 | | 2020 |
Maryam RahnemoonfarAssociate Professor, Lehigh UniversityVerified email at lehigh.edu