13 citations · 15 across the 5 of their papers we have counts for
5 papers
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho +1
We present a software that predicts non-cleft facial images for patients with cleft lip, thereby facilitating the understanding, awareness and discussion of cleft lip surgeries. To…
Predicting the Performance of a Computing System with Deep Networks
Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei +1
Predicting the performance and energy consumption of computing hardware is critical for many modern applications. This will inform procurement decisions, deployment decisions, and…
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby +4
A Cleft lip is a congenital abnormality requiring surgical repair by a specialist. The surgeon must have extensive experience and theoretical knowledge to perform surgery, and Arti…
Long-term Reproducibility for Neural Architecture Search
David Towers, Matthew Forshaw, Amir Atapour-Abarghouei +1
It is a sad reflection of modern academia that code is often ignored after publication -- there is no academic 'kudos' for bug fixes / maintenance. Code is often unavailable or, if…
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving
Jack Stelling, Amir Atapour-Abarghouei
Biases can filter into AI technology without our knowledge. Oftentimes, seminal deep learning networks champion increased accuracy above all else. In this paper, we attempt to alle…