197 citations · 246 across the 14 of their papers we have counts for
5 papers · 1 filter
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao, He Wang, Tianjia Shao +4
Human Activity Recognition (HAR) has been employed in a wide range of applications, e.g. self-driving cars, where safety and lives are at stake. Recently, the robustness of skeleto…
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…
Exploring the GLIDE model for Human Action-effect Prediction
Fangjun Li, David C. Hogg, Anthony G. Cohn
We address the following action-effect prediction task. Given an image depicting an initial state of the world and an action expressed in text, predict an image depicting the state…
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…
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…