266 citations · 1.1k across the 69 of their papers we have counts for
11 papers · 1 filter
Predicting the Future: A Jointly Learnt Model for Action Anticipation
Harshala Gammulle, Simon Denman, Sridha Sridharan +1
Inspired by human neurological structures for action anticipation, we present an action anticipation model that enables the prediction of plausible future actions by forecasting bo…
MTRNet++: One-stage Mask-based Scene Text Eraser
Osman Tursun, Simon Denman, Rui Zeng +3
A precise, controllable, interpretable and easily trainable text removal approach is necessary for both user-specific and large-scale text removal applications. To achieve this, we…
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
Tharindu Fernando, Clinton Fookes, Simon Denman +1
Advances in computer vision have brought us to the point where we have the ability to synthesise realistic fake content. Such approaches are seen as a source of disinformation and…
Neural Memory Plasticity for Anomaly Detection
Tharindu Fernando, Simon Denman, David Ahmedt-Aristizabal +4
In the domain of machine learning, Neural Memory Networks (NMNs) have recently achieved impressive results in a variety of application areas including visual question answering, tr…
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation
Harshala Gammulle, Tharindu Fernando, Simon Denman +2
We propose a novel conditional GAN (cGAN) model for continuous fine-grained human action segmentation, that utilises multi-modal data and learned scene context information. The pro…
Forecasting Future Action Sequences with Neural Memory Networks
Harshala Gammulle, Simon Denman, Sridha Sridharan +1
We propose a novel neural memory network based framework for future action sequence forecasting. This is a challenging task where we have to consider short-term, within sequence re…