SLAVIC, GIULIA
SLAVIC, GIULIA
100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni
A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework
2022-01-01 Abrham, Shiferaw; Slavic, Giulia; Iqbal, Hafsa; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo
A Kalman Variational Autoencoder Model assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection
2022-01-01 Slavic, Giulia; Alemaw, ABRHAM SHIFERAW; Marcenaro, Lucio; Martín Gómez, David; Regazzoni, Carlo
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
2020-01-01 Slavic, Giulia; Campo, Damian; Baydoun, Mohamad; Marin, Pablo; Martin, David; Marcenaro, Lucio; Regazzoni, Carlo
CONTAINER LOCALISATION AND MASS ESTIMATION WITH AN RGB-D CAMERA
2022-01-01 Apicella, T.; Slavic, G.; Ragusa, E.; Gastaldo, P.; Marcenaro, L.
Continual learning of predictive models in video sequences via variational autoencoders
2020-01-01 Damian, Campo; Slavic, Giulia; Baydoun, Mohamad; Marcenaro, Lucio; Regazzoni, Carlo
Emergent self-awareness in multi-sensor physical agents
2024-05-06 Slavic, Giulia
Interpretable anomaly detection using a Generalized Markov Jump Particle Filter
2021-01-01 Slavic, Giulia; Marin, Pablo; Martin, David; Marcenaro, Lucio; Regazzoni, Carlo
Learning of linear video prediction models in a multi-modal framework for anomaly detection
2021-01-01 Slavic, Giulia; Alemaw, Abrham; Marcenaro, Lucio; Regazzoni, Carlo
Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents
2021-01-01 Slavic, G.; Baydoun, M.; Campo, D.; Marcenaro, L.; Regazzoni, C.
Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach
2020-01-01 Iqbal, Hafsa; Damian, Campo; Slavic, Giulia; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo
PETS2021: Through-foliage detection and tracking challenge and evaluation
2021-01-01 Patino, L.; Boyle, J.; Ferryman, J.; Auer, J.; Pegoraro, J.; Pflugfelder, R.; Cokbas, M.; Konrad, J.; Ishwar, P.; Slavic, G.; Marcenaro, L.; Jiang, Y.; Jin, Y.; Ko, H.; Zhao, G.; Ben-Yosef, G.; Qiu, J.
Probabilistic anomaly detection methods using learned models from time-series data for multimedia self-aware systems
2022-01-01 Regazzoni, Carlo; Krayani, Ali; Slavic, Giulia; Marcenaro, Lucio
Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model
2022-01-01 Slavic, Giulia; Marin, Pablo; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo
Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications
2023-01-01 Adnan, Muhammad; Slavic, Giulia; Martin Gomez, David; Marcenaro, Lucio; Regazzoni, Carlo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework | 1-gen-2022 | Abrham, Shiferaw; Slavic, Giulia; Iqbal, Hafsa; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo | |
| A Kalman Variational Autoencoder Model assisted by Odometric Clustering for Video Frame Prediction and Anomaly Detection | 1-gen-2022 | Slavic, Giulia; Alemaw, ABRHAM SHIFERAW; Marcenaro, Lucio; Martín Gómez, David; Regazzoni, Carlo | |
| Anomaly Detection in Video Data Based on Probabilistic Latent Space Models | 1-gen-2020 | Slavic, Giulia; Campo, Damian; Baydoun, Mohamad; Marin, Pablo; Martin, David; Marcenaro, Lucio; Regazzoni, Carlo | |
| CONTAINER LOCALISATION AND MASS ESTIMATION WITH AN RGB-D CAMERA | 1-gen-2022 | Apicella, T.; Slavic, G.; Ragusa, E.; Gastaldo, P.; Marcenaro, L. | |
| Continual learning of predictive models in video sequences via variational autoencoders | 1-gen-2020 | Damian, Campo; Slavic, Giulia; Baydoun, Mohamad; Marcenaro, Lucio; Regazzoni, Carlo | |
| Emergent self-awareness in multi-sensor physical agents | 6-mag-2024 | Slavic, Giulia | |
| Interpretable anomaly detection using a Generalized Markov Jump Particle Filter | 1-gen-2021 | Slavic, Giulia; Marin, Pablo; Martin, David; Marcenaro, Lucio; Regazzoni, Carlo | |
| Learning of linear video prediction models in a multi-modal framework for anomaly detection | 1-gen-2021 | Slavic, Giulia; Alemaw, Abrham; Marcenaro, Lucio; Regazzoni, Carlo | |
| Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents | 1-gen-2021 | Slavic, G.; Baydoun, M.; Campo, D.; Marcenaro, L.; Regazzoni, C. | |
| Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach | 1-gen-2020 | Iqbal, Hafsa; Damian, Campo; Slavic, Giulia; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo | |
| PETS2021: Through-foliage detection and tracking challenge and evaluation | 1-gen-2021 | Patino, L.; Boyle, J.; Ferryman, J.; Auer, J.; Pegoraro, J.; Pflugfelder, R.; Cokbas, M.; Konrad, J.; Ishwar, P.; Slavic, G.; Marcenaro, L.; Jiang, Y.; Jin, Y.; Ko, H.; Zhao, G.; Ben-Yosef, G.; Qiu, J. | |
| Probabilistic anomaly detection methods using learned models from time-series data for multimedia self-aware systems | 1-gen-2022 | Regazzoni, Carlo; Krayani, Ali; Slavic, Giulia; Marcenaro, Lucio | |
| Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model | 1-gen-2022 | Slavic, Giulia; Marin, Pablo; Marcenaro, Lucio; Martin Gomez, David; Regazzoni, Carlo | |
| Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications | 1-gen-2023 | Adnan, Muhammad; Slavic, Giulia; Martin Gomez, David; Marcenaro, Lucio; Regazzoni, Carlo |