| Deep learning-based aerial image segmentation with open data for disaster impact assessment A Gupta, S Watson, H Yin Neurocomputing 439, 22-33, 2021 | 49 | 2021 |
| 3d point cloud feature explanations using gradient-based methods A Gupta, S Watson, H Yin 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 17 | 2020 |
| A navigational system for quadcopter remote inspection of offshore substations E Welburn, HH Khalili, A Gupta, S Watson, J Carrasco The Fifteenth International Conference on Autonomic and Autonomous Systems 2019, 2019 | 12 | 2019 |
| Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks A Gupta, J Byrne, D Moloney, S Watson, H Yin IEEE Transactions on Geosciences and Remote Sensing, 2019 | 10 | 2019 |
| A mixed reality approach to robotic inspection of remote environments E Welburn, T Wright, C Marsh, S Lim, A Gupta, W Crowther, S Watson Poster Papers, 72, 2019 | 10 | 2019 |
| Cnn-based semantic change detection in satellite imagery A Gupta, E Welburn, S Watson, H Yin Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 10 | 2019 |
| Automatic Tree Annotation in LiDAR Data. A Gupta, J Byrne, D Moloney, S Watson, H Yin Gistam, 36-41, 2018 | 8 | 2018 |
| Threat identification in humanitarian demining using machine learning and spectroscopic metal detection W Van Verre, T Özdeǧer, A Gupta, FJW Podd, AJ Peyton International Conference on Intelligent Data Engineering and Automated …, 2019 | 7 | 2019 |
| Post disaster mapping with semantic change detection in satellite imagery A Gupta, E Welburn, S Watson, H Yin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 7 | 2019 |
| Density coordinate hashing for volumetric data DM Moloney, JD Byrne, L Buckley, GGB Baugh, S Caulfield, A Palla, ... US Patent 11,532,117, 2022 | 6 | 2022 |
| ELECTRICAL POWER GRID MODELING A Gupta, PE Stahlfeld, B Chu US Patent App. 17/356,897, 2021 | 3 | 2021 |
| Multitemporal Aerial Image Registration Using Semantic Features A Gupta, Y Peng, S Watson, H Yin International Conference on Intelligent Data Engineering and Automated Learning, 2019 | 3 | 2019 |
| Deep Learning for Semantic Feature Extraction in Aerial Imagery and LiDAR Data A Gupta Ph. D. Thesis, 2020 | 2 | 2020 |
| Electric grid connection mapping A Gupta, P Evans, LF Casey, PE Stahlfeld US Patent App. 17/740,873, 2022 | 1 | 2022 |
| Electric grid connection mapping A Gupta, PE Stahlfeld US Patent App. 17/955,857, 2024 | | 2024 |
| Privacy-preserving configuration of location-specific electrical load models PE Stahlfeld, A Gupta, X Li, LM Ackerknecht US Patent App. 17/959,948, 2024 | | 2024 |
| Training machine learning models with sparse input A Goncharuk, R Clapp, KF Smith, SY Looi, A Gupta, JB Omojola, MJ Park US Patent App. 18/456,792, 2024 | | 2024 |
| Electrical power grid modeling A Gupta, PE Stahlfeld, B Chu US Patent 11,875,561, 2024 | | 2024 |
| Predicting electrical component failure PE Stahlfeld, LF Casey, X Li, G Desai, A Gupta, AC Shwaid, LE Fedoruk US Patent App. 18/331,765, 2023 | | 2023 |
| Electric grid model error reduction A Gupta, PE Stahlfeld US Patent App. 17/687,823, 2023 | | 2023 |
Simon WatsonReader in Robotic Systems, The University of Manchester在 manchester.ac.uk 的电子邮件经过验证
