| Deep learning-based semantic segmentation of urban features in satellite images: A review and meta-analysis B Neupane, T Horanont, J Aryal Remote Sensing 13 (4), 808, 2021 | 203 | 2021 |
| Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV) B Neupane, T Horanont, ND Hung PloS one 14 (10), e0223906, 2019 | 146 | 2019 |
| Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network B Neupane, T Horanont, J Aryal Sensors 22 (10), 2022 | 71 | 2022 |
| Deep learning for remote sensing image scene classification: A review and meta-analysis A Thapa, T Horanont, B Neupane, J Aryal Remote Sensing 15 (19), 4804, 2023 | 31 | 2023 |
| Multi-scale feature map aggregation and supervised domain adaptation of fully convolutional networks for urban building footprint extraction J Aryal, B Neupane Remote Sensing 15 (2), 488, 2023 | 13 | 2023 |
| Real-time drowsiness and distraction detection using computer vision and deep learning P Pattarapongsin, B Neupane, J Vorawan, H Sutthikulsombat, T Horanont Proceedings of the 11th International Conference on Advances in Information …, 2020 | 8 | 2020 |
| Parcel-level flood and drought detection for insurance using sentinel-2a, sentinel-1 sar grd and mobile images A Thapa, T Horanont, B Neupane Remote Sensing 14 (23), 6095, 2022 | 7 | 2022 |
| Building footprint segmentation using transfer learning: A case study of the City of Melbourne B Neupane, J Aryal, A Rajabifard ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 7 | 2022 |
| An open-source uav image processing web service for crop health monitoring B Neupane, T Horanont, HN Duy, S Suebvong, T Mahattanawutakorn 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2019 | 6 | 2019 |
| Rethinking the U-Net, ResUnet, and U-Net3+ architectures with dual skip connections for building footprint extraction B Neupane, J Aryal, A Rajabifard arXiv preprint arXiv:2303.09064, 2023 | 5* | 2023 |
| Object vs pixel-based flood/drought detection in paddy fields using deep learning A Thapa, B Neupane, T Horanont 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2022 | 5 | 2022 |
| CNNs for remote extraction of urban features: A survey-driven benchmarking B Neupane, J Aryal, A Rajabifard Expert Systems with Applications 255, 124751, 2024 | 3 | 2024 |
| Knowledge Transfer and Model Compression for Misaligned Building Labels B Neupane, J Aryal, A Rajabifard IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 2 | 2023 |
| A Comparative Study of Knowledge Transfer Methods for Misaligned Urban Building Labels B Neupane, J Aryal, A Rajabifard arXiv preprint arXiv:2311.03867, 2023 | 1 | 2023 |
| Robust and scalable real-time vehicle classification and tracking: a case study of Thailand B Neupane, T Horanont, P Pattarapongsin, A Thapa ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 1 | 2022 |
| Multi-label Learning with ViT for Building Footprint Extraction from Off-Nadir Aerial Images B Neupane, J Aryal, A Rajabifard, PA Pelizari, C Geiß IEEE Geoscience and Remote Sensing Letters, 2025 | | 2025 |
| Evaluation of the Safety of Reinforced Concrete Buildings Post-Earthquake for Swift Rescue and Recovery P Khatiwada, B Neupane, MA Khezrabad, E Lumantarna, N Lam Australian Earthquake Engineering Society 2024 National Conference, 2024 | | 2024 |
| Building Footprint Data from Earth Observation Contribute to Sustainable City Planning: A Perspective J Aryal, B Neupane IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |
| Open Mutual Learning: Ensemble of CNNS For Urban Building Footprint Extraction with Open Data B Neupane, J Aryal, A Rajabifard IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |
| Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildings B Neupane, J Aryal, A Rajabifard arXiv preprint arXiv:2303.09064, 2023 | | 2023 |
Jagannath AryalAssociate Professor, Department of Infrastructure Engineering, The University of MelbourneBestätigte E-Mail-Adresse bei unimelb.edu.au