activity
20202022
most citedRadar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation

22 citations · 59 across the 10 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.HC2022

XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values

Anand Dubey, Niall Lyons, Avik Santra +1

Human activity recognition (HAR) using IMU sensors, namely accelerometer and gyroscope, has several applications in smart homes, healthcare and human-machine interface systems. In…

cs.LG2022

Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach

Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey +2

Explainability of neural network prediction is essential to understand feature importance and gain interpretable insight into neural network performance. However, explanations of n…

cs.LG2022

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking

Julius Ott, Lorenzo Servadei, Gianfranco Mauro +3

Nowadays, Deep Learning (DL) methods often overcome the limitations of traditional signal processing approaches. Nevertheless, DL methods are barely applied in real-life applicatio…

cs.LG2022

Utilizing Explainable AI for improving the Performance of Neural Networks

Huawei Sun, Lorenzo Servadei, Hao Feng +3

Nowadays, deep neural networks are widely used in a variety of fields that have a direct impact on society. Although those models typically show outstanding performance, they have…

cs.LG2022

MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling

Julius Ott, Lorenzo Servadei, Jose Arjona-Medina +7

Data selection is essential for any data-based optimization technique, such as Reinforcement Learning. State-of-the-art sampling strategies for the experience replay buffer improve…

cs.CV2022★ 22 cited

Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation

Michael Stephan, Thomas Stadelmayer, Avik Santra +3

This paper presents a parametric variational autoencoder-based human target detection and localization framework working directly with the raw analog-to-digital converter data from…

eess.SP2022★ 1 cited

Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition

Souvik Hazra, Hao Feng, Gamze Naz Kiprit +5

Gesture recognition is one of the most intuitive ways of interaction and has gathered particular attention for human computer interaction. Radar sensors possess multiple intrinsic…