8 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 5 cited
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
Liam Hiley, Alun Preece, Yulia Hicks +3
A small subset of explainability techniques developed initially for image recognition models has recently been applied for interpretability of 3D Convolutional Neural Network model…
cs.LG2019★ 8 cited
Explainable Deep Learning for Video Recognition Tasks: A Framework & Recommendations
Liam Hiley, Alun Preece, Yulia Hicks
The popularity of Deep Learning for real-world applications is ever-growing. With the introduction of high performance hardware, applications are no longer limited to image recogni…
cs.LG2019★ 7 cited
Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition
Liam Hiley, Alun Preece, Yulia Hicks +2
Current techniques for explainable AI have been applied with some success to image processing. The recent rise of research in video processing has called for similar work n deconst…