Search Results for author: Simon Julier

Found 8 papers, 1 papers with code

MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures

no code implementations11 Jan 2022 Chong Tang, Wenda Li, Shelly Vishwakarma, Fangzhan Shi, Simon Julier, Kevin Chetty

It provides an effective solution to track human activities by reconstructing a skeleton model with 17 key points, which can assist with the interpretation of conventional RF sensing outputs in a more understandable way.

Denoising RF-based Pose Estimation

Time Dependence in Kalman Filter Tuning

1 code implementation21 Aug 2021 Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar Ahmed

First, in theory, many of these measures do not guarantee a unique solution due to observability issues.

Bayesian Optimization Prediction Intervals

FMNet: Latent Feature-wise Mapping Network for Cleaning up Noisy Micro-Doppler Spectrogram

no code implementations9 Jul 2021 Chong Tang, Wenda Li, Shelly Vishwakarma, Fangzhan Shi, Simon Julier, Kevin Chetty

On the other hand, we also propose a novel idea which trains a classifier with only simulated data and predicts new measured samples after cleaning them up with the FMNet.

Learning from Natural Noise to Denoise Micro-Doppler Spectrogram

no code implementations13 Feb 2021 Chong Tang, Wenda Li, Shelly Vishwakarma, Karl Woodbridge, Simon Julier, Kevin Chetty

However, noisy time-frequency spectrograms can significantly affect the performance of the classifier and must be tackled using appropriate denoising algorithms.

Denoising Generative Adversarial Network

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning

no code implementations5 Aug 2019 Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani Srivastava

When applied to image classification models, NeuroMask identifies the image parts that are most important to classifier results by applying a mask that hides/reveals different parts of the image, before feeding it back into the model.

General Classification Image Classification

Federated AI for building AI Solutions across Multiple Agencies

no code implementations20 Sep 2018 Dinesh Verma, Simon Julier, Greg Cirincione

The different sets of regulations existing for differ-ent agencies within the government make the task of creating AI enabled solutions in government dif-ficult.

Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization

no code implementations23 Jul 2018 Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar Ahmed

Kalman filters are routinely used for many data fusion applications including navigation, tracking, and simultaneous localization and mapping problems.

Bayesian Optimization Simultaneous Localization and Mapping +1

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