197 citations · 246 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior
Jose Sosa, David Hogg
Obtaining labelled data to train deep learning methods for estimating animal pose is challenging. Recently, synthetic data has been widely used for pose estimation tasks, but most…
3D shape reconstruction of semi-transparent worms
Thomas P. Ilett, Omer Yuval, Thomas Ranner +2
3D shape reconstruction typically requires identifying object features or textures in multiple images of a subject. This approach is not viable when the subject is semi-transparent…
Self-supervised 3D Human Pose Estimation from a Single Image
Jose Sosa, David Hogg
We propose a new self-supervised method for predicting 3D human body pose from a single image. The prediction network is trained from a dataset of unlabelled images depicting peopl…
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…