activity
20162023
most citedHierarchical Piecewise-Constant Super-regions

4 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 4 cited

Connecting Everyday Objects with the Metaverse: A Unified Recognition Framework

Liming Xu, Dave Towey, Andrew P. French +1

The recent Facebook rebranding to Meta has drawn renewed attention to the metaverse. Technology giants, amongst others, are increasingly embracing the vision and opportunities of a…

cs.CV2022★ 4 cited

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation

Zhendi Gong, Andrew P. French, Guoping Qiu +1

Convolutional neural networks (CNNs) achieved the state-of-the-art performance in medical image segmentation due to their ability to extract highly complex feature representations.…

cs.CV2021

Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies

Bowen Deng, Andrew P. French, Michael P. Pound

Salient object detection plays an important role in many downstream tasks. However, complex real-world scenes with varying scales and numbers of salient objects still pose a challe…

cs.SE2021

Using Metamorphic Relations to Verify and Enhance Artcode Classification

Liming Xu, Dave Towey, Andrew French +3

Software testing is often hindered where it is impossible or impractical to determine the correctness of the behaviour or output of the software under test (SUT), a situation known…

cs.CV2016★ 4 cited

Hierarchical Piecewise-Constant Super-regions

Imanol Luengo, Mark Basham, Andrew P. French

Recent applications in computer vision have come to heavily rely on superpixel over-segmentation as a pre-processing step for higher level vision tasks, such as object recognition,…