13 citations · 28 across the 4 of their papers we have counts for
14 papers
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
David Gillespie, Connah Kendrick, Ian Boon +3
Prostate radiotherapy is a well established curative oncology modality, which in future will use Magnetic Resonance Imaging (MRI)-based radiotherapy for daily adaptive radiotherapy…
R-MNet: A Perceptual Adversarial Network for Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
Facial image inpainting is a problem that is widely studied, and in recent years the introduction of Generative Adversarial Networks, has led to improvements in the field. Unfortun…
Anysize GAN: A solution to the image-warping problem
Connah Kendrick, David Gillespie, Moi Hoon Yap
We propose a new type of General Adversarial Network (GAN) to resolve a common issue with Deep Learning. We develop a novel architecture that can be applied to existing latent vect…
Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard +3
The state-of-the-art facial image inpainting methods achieved promising results but face realism preservation remains a challenge. This is due to limitations such as; failures in p…
Spotting Macro- and Micro-expression Intervals in Long Video Sequences
Ying He, Su-Jing Wang, Jingting Li +1
This paper presents baseline results for the Third Facial Micro-Expression Grand Challenge (MEGC 2020). Both macro- and micro-expression intervals in CAS(ME) and SAMM Long Vide…
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset
Chuin Hong Yap, Connah Kendrick, Moi Hoon Yap
With the growth of popularity of facial micro-expressions in recent years, the demand for long videos with micro- and macro-expressions remains high. Extended from SAMM, a micro-ex…