Giulia Slavic

Orcid: 0000-0003-3641-3483

According to our database1, Giulia Slavic authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Emergent self-awareness in multi-sensor physical agents.
PhD thesis, 2024

Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications.
Sensors, July, 2023

A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection.
IEEE Trans. Image Process., 2023

2022
Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents.
IEEE Trans. Multim., 2022

Container Localisation and Mass Estimation with an RGB-D Camera.
Proceedings of the IEEE International Conference on Acoustics, 2022

Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021
Learning Of Linear Video Prediction Models In A Multi-Modal Framework For Anomaly Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

PETS2021: Through-foliage detection and tracking challenge and evaluation.
Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

2020
Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders.
Proceedings of the IEEE International Conference on Image Processing, 2020

Anomaly Detection in Video Data Based on Probabilistic Latent Space Models.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020


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