activity
20192022
most citedThe Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery

17 citations · 34 across the 11 of their papers we have counts for

collaborators

14 papers

cs.CV202212 cited

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Benjamin Kiefer, Matej Kristan, Janez Perš +70

The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…

cs.CV20221 cited

Detecting Anomalies using Generative Adversarial Networks on Images

Rushikesh Zawar, Krupa Bhayani, Neelanjan Bhowmik +2

Automatic detection of anomalies such as weapons or threat objects in baggage security, or detecting impaired items in industrial production is an important computer vision task de…

cs.CV2022

Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery

Neelanjan Bhowmik, Toby P. Breckon

X-ray baggage security screening is in widespread use and crucial to maintaining transport security for threat/anomaly detection tasks. The automatic detection of anomaly, which is…

cs.CV2022

Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery

Neelanjan Bhowmik, Jack W. Barker, Yona Falinie A. Gaus +1

Lossy image compression strategies allow for more efficient storage and transmission of data by encoding data to a reduced form. This is essential enable training with larger datas…

cs.CV2021

Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery

Thomas W. Webb, Neelanjan Bhowmik, Yona Falinie A. Gaus +1

The recent advancement in deep Convolutional Neural Network (CNN) has brought insight into the automation of X-ray security screening for aviation security and beyond. Here, we exp…

cs.CV2021

On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks

Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon

Automatic detection of prohibited items within complex and cluttered X-ray security imagery is essential to maintaining transport security, where prior work on automatic prohibited…