130 citations · 206 across the 10 of their papers we have counts for
4 papers · 1 filter
Uncertainty Quantification In Surface Landmines and UXO Classification Using MC Dropout
Sagar Lekhak, Emmett J. Ientilucci, Dimah Dera +1
Detecting surface landmines and unexploded ordnances (UXOs) using deep learning has shown promise in humanitarian demining. However, deterministic neural networks can be vulnerable…
A UAV-Based VNIR Hyperspectral Benchmark Dataset for Landmine and UXO Detection
Sagar Lekhak, Emmett J. Ientilucci, Jasper Baur +1
This paper introduces a novel benchmark dataset of Visible and Near-Infrared (VNIR) hyperspectral imagery acquired via an unmanned aerial vehicle (UAV) platform for landmine and un…
Adaptive Contextual Embedding for Robust Far-View Borehole Detection
Xuesong Liu, Tianyu Hao, Emmett J. Ientilucci
In controlled blasting operations, accurately detecting densely distributed tiny boreholes from far-view imagery is critical for operational safety and efficiency. However, existin…
SmokeNet: Efficient Smoke Segmentation Leveraging Multiscale Convolutions and Multiview Attention Mechanisms
Xuesong Liu, Emmett J. Ientilucci
Efficient segmentation of smoke plumes is crucial for environmental monitoring and industrial safety, enabling the detection and mitigation of harmful emissions from activities lik…