17 citations · 38 across the 8 of their papers we have counts for
11 papers
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
Qian Wang, Fanlin Meng, Toby P. Breckon
Domain adaptation solves image classification problems in the target domain by taking advantage of the labelled source data and unlabelled target data. Usually, the source and targ…
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images
Yuyu Guo, Lei Bi, Dongming Wei +6
Motion estimation is a fundamental step in dynamic medical image processing for the assessment of target organ anatomy and function. However, existing image-based motion estimation…
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang, Toby P. Breckon
Automatic prohibited object detection within 2D/3D X-ray Computed Tomography (CT) has been studied in literature to enhance the aviation security screening at checkpoints. Deep Con…
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
Automatic detection of prohibited objects within passenger baggage is important for aviation security. X-ray Computed Tomography (CT) based 3D imaging is widely used in airports fo…
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Qian Wang, Toby P. Breckon
Domain adaptation approaches aim to exploit useful information from the source domain where supervised learning examples are easier to obtain to address a learning problem in the t…
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang, Neelanjan Bhowmik, Toby P. Breckon
X-ray Computed Tomography (CT) based 3D imaging is widely used in airports for aviation security screening whilst prior work on prohibited item detection focuses primarily on 2D X-…