activity
20172022
most citedInstance Segmentation based Semantic Matting for Compositing Applications

6 citations · 11 across the 4 of their papers we have counts for

collaborators

6 papers

cs.DC2022

Immunological Approaches to Load Balancing in MIMD Systems

James J. Clark

Effective utilization of Multiple-Instruction-Multiple-Data (MIMD) parallel computers requires the application of good load balancing techniques. In this paper we show that heurist…

eess.IV2021

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images

Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand +3

Segmentation of enhancing tumours or lesions from MRI is important for detecting new disease activity in many clinical contexts. However, accurate segmentation requires the inclusi…

cs.CV20196 cited

Instance Segmentation based Semantic Matting for Compositing Applications

Guanqing Hu, James J. Clark

Image compositing is a key step in film making and image editing that aims to segment a foreground object and combine it with a new background. Automatic image compositing can be d…

cs.CV2018

Task dependent Deep LDA pruning of neural networks

Qing Tian, Tal Arbel, James J. Clark

With deep learning's success, a limited number of popular deep nets have been widely adopted for various vision tasks. However, this usually results in unnecessarily high complexit…

cs.CV20175 cited

Personalization of Saliency Estimation

Bingqing Yu, James J. Clark

Most existing saliency models use low-level features or task descriptions when generating attention predictions. However, the link between observer characteristics and gaze pattern…

cs.CV2017

WAYLA - Generating Images from Eye Movements

Bingqing Yu, James J. Clark

We present a method for reconstructing images viewed by observers based only on their eye movements. By exploring the relationships between gaze patterns and image stimuli, the "Wh…