63 citations · 99 across the 10 of their papers we have counts for
8 papers · 1 filter
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training
Guoxi Huang, Adrian G. Bors
Static appearance of video may impede the ability of a deep neural network to learn motion-relevant features in video action recognition. In this paper, we introduce a new concept,…
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye, Adrian G. Bors
Learning from non-stationary data streams, also called Task-Free Continual Learning (TFCL) remains challenging due to the absence of explicit task information. Although recently so…
Lifelong Twin Generative Adversarial Networks
Fei Ye, Adrian G. Bors
In this paper, we propose a new continuously learning generative model, called the Lifelong Twin Generative Adversarial Networks (LT-GANs). LT-GANs learns a sequence of tasks from…
Learning latent representations across multiple data domains using Lifelong VAEGAN
Fei Ye, Adrian G. Bors
The problem of catastrophic forgetting occurs in deep learning models trained on multiple databases in a sequential manner. Recently, generative replay mechanisms (GRM), have been…
Region-based Non-local Operation for Video Classification
Guoxi Huang, Adrian G. Bors
Convolutional Neural Networks (CNNs) model long-range dependencies by deeply stacking convolution operations with small window sizes, which makes the optimizations difficult. This…
Generating Memorable Images Based on Human Visual Memory Schemas
Cameron Kyle-Davidson, Adrian G. Bors, Karla K. Evans
This research study proposes using Generative Adversarial Networks (GAN) that incorporate a two-dimensional measure of human memorability to generate memorable or non-memorable ima…