IEEE

Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning

Abstract: In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. However, it is difficult to collect sign language data ...
IEEE

A Study of Data Augmentation for Learning-Driven Scientific Visualization

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
GitHub

Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation

Official implementation of "Reinforcement Learning-Enhanced Model Predictive Control with Meta-Learning for Online Compensation of Dynamic Model Errors".
GitHub

Topological Data Analysis for Adversarial Detection

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...