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ORCIDGiulia Slavic
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2020 – today
- 2024
[b1]Giulia Slavic:
Emergent self-awareness in multi-sensor physical agents. University of Genoa, Italy, 2024- [c9]Giulia Slavic, Mattia Bracco, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni, Pamela Zontone:
Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents. ICASSP Workshops 2024: 264-268 - 2023
- [j3]Muhammad Adnan, Giulia Slavic
, David Martín Gómez, Lucio Marcenaro, Carlo S. Regazzoni:
Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications. Sensors 23(13): 6119 (2023) - [j2]Giulia Slavic, Abrham Shiferaw Alemaw, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
A Kalman Variational Autoencoder Model Assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection. IEEE Trans. Image Process. 32: 415-429 (2023) - 2022
- [j1]Giulia Slavic, Mohamad Baydoun, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni:
Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents. IEEE Trans. Multim. 24: 1399-1414 (2022) - [c8]Abrham Shiferaw Alemaw, Giulia Slavic, Hafsa Iqbal, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework. AVSS 2022: 1-8 - [c7]Giulia Slavic, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model. AVSS 2022: 1-8 - [c6]Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro:
Container Localisation and Mass Estimation with an RGB-D Camera. ICASSP 2022: 9152-9155 - [i3]Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro:
Container Localisation and Mass Estimation with an RGB-D Camera. CoRR abs/2203.01207 (2022) - 2021
- [c5]Jose Luis Patino, Jonathan Boyle, James M. Ferryman, Jonas Auer, Julian Pegoraro, Roman P. Pflugfelder, Mertcan Cokbas, Janusz Konrad, Prakash Ishwar, Giulia Slavic, Lucio Marcenaro, Yifan Jiang, Youngsaeng Jin, Hanseok Ko, Guangliang Zhao, Guy Ben-Yosef, Jianwei Qiu:
PETS2021: Through-foliage detection and tracking challenge and evaluation. AVSS 2021: 1-10 - [c4]Giulia Slavic, Abrham Shiferaw Alemaw, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Of Linear Video Prediction Models In A Multi-Modal Framework For Anomaly Detection. ICIP 2021: 1569-1573 - 2020
- [c3]Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. EAIS 2020: 1-8 - [c2]Damian Campo, Giulia Slavic, Mohamad Baydoun, Lucio Marcenaro, Carlo S. Regazzoni:
Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders. ICIP 2020: 753-757 - [c1]Hafsa Iqbal, Damian Campo, Giulia Slavic, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach. SiPS 2020: 1-6 - [i2]Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. CoRR abs/2003.07623 (2020) - [i1]Damian Campo, Giulia Slavic, Mohamad Baydoun, Lucio Marcenaro, Carlo S. Regazzoni:
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders. CoRR abs/2006.01945 (2020)
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