25 citations · 35 across the 3 of their papers we have counts for
5 papers
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…
Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTM
Hanh Thi Minh Tran, David Hogg
In this paper, we propose a novel method for video anomaly detection motivated by an existing architecture for sequence-to-sequence prediction and reconstruction using a spatio-tem…
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
He Wang, Feixiang He, Zhexi Peng +4
Action recognition has been heavily employed in many applications such as autonomous vehicles, surveillance, etc, where its robustness is a primary concern. In this paper, we exami…
SMART: Skeletal Motion Action Recognition aTtack
He Wang, Feixiang He, Zhexi Peng +4
Adversarial attack has inspired great interest in computer vision, by showing that classification-based solutions are prone to imperceptible attack in many tasks. In this paper, we…
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations
Jawad Tayyub, Majd Hawasly, David C. Hogg +1
This paper introduces a novel activity dataset which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions. The dataset presents a s…