activity
20172023
most citedSpatial distribution of star formation related to ionized regions throughout the inner Galactic plane

36 citations · 77 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 1 cited

Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy

Pedro Esteban Chavarrias Solano, Andrew Bulpitt, Venkataraman Subramanian +1

Colonoscopy screening is the gold standard procedure for assessing abnormalities in the colon and rectum, such as ulcers and cancerous polyps. Measuring the abnormal mucosal area a…

cs.CV2023

Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task

Rebecca S. Stone, Pedro E. Chavarrias-Solano, Andrew J. Bulpitt +2

While several previous studies have devised methods for segmentation of polyps, most of these methods are not rigorously assessed on multi-center datasets. Variability due to appea…

cs.CV2023

Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network

Rebecca S Stone, Nishant Ravikumar, Andrew J Bulpitt +1

The fairness of a deep neural network is strongly affected by dataset bias and spurious correlations, both of which are usually present in modern feature-rich and complex visual da…

cs.CV2022★ 25 cited

Talking Head from Speech Audio using a Pre-trained Image Generator

Mohammed M. Alghamdi, He Wang, Andrew J. Bulpitt +1

We propose a novel method for generating high-resolution videos of talking-heads from speech audio and a single 'identity' image. Our method is based on a convolutional neural netw…

cs.CV2022★ 2 cited

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation

Rebecca S Stone, Nishant Ravikumar, Andrew J Bulpitt +1

Deep neural networks are highly susceptible to learning biases in visual data. While various methods have been proposed to mitigate such bias, the majority require explicit knowled…

cs.LG2022★ 5 cited

Fine-grained differentiable physics: a yarn-level model for fabrics

Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt +1

Differentiable physics modeling combines physics models with gradient-based learning to provide model explicability and data efficiency. It has been used to learn dynamics, solve i…

astro-ph.GA2017★ 8 cited

First Extended Catalogue of Galactic Bubbles InfraRed Fluxes from WISE and Herschel Surveys

F. Bufano, P. Leto, D. Carey +8

In this paper, we present the first extended catalogue of far-infrared fluxes of Galactic bubbles. Fluxes were estimated for 1814 bubbles, defined here as the `golden sample', and…

astro-ph.GA2017★ 36 cited

Spatial distribution of star formation related to ionized regions throughout the inner Galactic plane

P. Palmeirim, A. Zavagno, D. Elia +35

We present a comprehensive statistical analysis of star-forming objects located in the vicinities of 1 360 bubble structures throughout the Galactic Plane and their local environme…