Applying deep learning to automate UAV-based detection of scatterable landmines J Baur, G Steinberg, A Nikulin, K Chiu, TS de Smet Remote Sensing 12 (5), 859, 2020 | 39 | 2020 |
How to Implement Drones and Machine Learning to Reduce Time, Costs, and Dangers Associated with Landmine Detection J Baur, G Steinberg, A Nikulin, K Chiu, T de Smet The Journal of Conventional Weapons Destruction 25 (1), 29, 2021 | 8 | 2021 |
Utilizing UAV-based hyperspectral imaging to detect surficial explosive ordnance M Tuohy, J Baur, G Steinberg, J Pirro, T Mitchell, A Nikulin, J Frucci, ... The Leading Edge 42 (2), 98-102, 2023 | 1 | 2023 |
Inspiring the Next Generation of Humanitarian Mine Action Researchers M Tuohy, E Greenspan, S Fasullo, J Baur, G Steinberg, L Zheng, A Nikulin, ... The Journal of conventional weapons destruction 27 (1), 2023 | | 2023 |
Challenges in Applying Audio Classification Models to Datasets Containing Crucial Biodiversity Information J Ayers, Y Jandali, YJ Hwang, G Steinberg, E Joun, M Tobler, I Ingram, ... International Conference on Machine Learning (ICML) 2021, 2021 | | 2021 |
PFM-1 Faster R-CNN Pretrained Model G Steinberg, J Baur, A Nikulin, TS De Smet | | 2020 |
Scatterable Landmine Detection Project Dataset 8 G Steinberg, J Baur, A Nikulin, T de Smet | | 2020 |
Scatterable Landmine Detection Project Dataset 23 (Control, no mines) J Baur, T de Smet, A Nikulin, G Steinberg | | 2020 |
Scatterable Landmine Detection Project Dataset 18 J Baur, T de Smet, A Nikulin, G Steinberg | | 2020 |
An Accessible Seeded Field for Humanitarian Mine Action Research J Baur, G Steinberg, J Frucci, A Brinkley The Journal of Conventional Weapons Destruction 27 (3), 2, 0 | | |