| Multilevel anomaly detection through variational autoencoders and bayesian models for self-aware embodied agents G Slavic, M Baydoun, D Campo, L Marcenaro, C Regazzoni IEEE Transactions on Multimedia 24, 1399-1414, 2021 | 21 | 2021 |
| Anomaly detection in video data based on probabilistic latent space models G Slavic, D Campo, M Baydoun, P Marin, D Martin, L Marcenaro, ... 2020 IEEE conference on evolving and adaptive intelligent systems (EAIS), 1-8, 2020 | 19 | 2020 |
| Learning of linear video prediction models in a multi-modal framework for anomaly detection G Slavic, AS Alemaw, L Marcenaro, C Regazzoni 2021 IEEE international conference on image processing (ICIP), 1569-1573, 2021 | 9 | 2021 |
| Continual learning of predictive models in video sequences via variational autoencoders D Campo, G Slavic, M Baydoun, L Marcenaro, C Regazzoni 2020 IEEE International Conference on Image Processing (ICIP), 753-757, 2020 | 7 | 2020 |
| Optimization of probabilistic switching models based on a two-step clustering approach H Iqbal, D Campo, G Slavic, L Marcenaro, DM Gomez, C Regazzoni 2020 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2020 | 7 | 2020 |
| Container localisation and mass estimation with an RGB-D camera T Apicella, G Slavic, E Ragusa, P Gastaldo, L Marcenaro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| A kalman variational autoencoder model assisted by odometric clustering for video frame prediction and anomaly detection G Slavic, AS Alemaw, L Marcenaro, DM Gómez, C Regazzoni IEEE Transactions on Image Processing 32, 415-429, 2022 | 4 | 2022 |
| PETS2021: Through-foliage detection and tracking challenge and evaluation L Patino, J Boyle, J Ferryman, J Auer, J Pegoraro, R Pflugfelder, ... 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 | 3 | 2021 |
| Interpretable anomaly detection using a generalized Markov Jump particle filter G Slavic, P Marin, D Martin, L Marcenaro, C Regazzoni 2021 IEEE International Conference on Autonomous Systems (ICAS), 1-5, 2021 | 3 | 2021 |
| Systematic and comprehensive review of clustering and multi-target tracking techniques for LiDAR point clouds in autonomous driving applications M Adnan, G Slavic, D Martin Gomez, L Marcenaro, C Regazzoni Sensors 23 (13), 6119, 2023 | 2 | 2023 |
| A data-driven approach for the localization of interacting agents via a multi-modal dynamic bayesian network framework AS Alemaw, G Slavic, H Iqbal, L Marcenaro, DM Gomez, C Regazzoni 2022 18th IEEE International Conference on Advanced Video and Signal Based …, 2022 | 1 | 2022 |
| Probabilistic anomaly detection methods using learned models from time-series data for multimedia self-aware systems C Regazzoni, A Krayani, G Slavic, L Marcenaro Advanced Methods and Deep Learning in Computer Vision, 449-479, 2022 | 1 | 2022 |
| Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications M Adnan, G Slavic, DM Gómez, L Marcenaro, C Regazzoni Preprints, 2023 | | 2023 |
| Localización y detección de anomalías utilizando imágenes en un marco bayesiano G Slavic, P Marín-Plaza, L Marcenaro, D Martín Gómez, C Regazzoni XLIV Jornadas de Automática, 885-890, 2023 | | 2023 |
| Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model G Slavic, PM Plaza, L Marcenaro, DM Gómez, C Regazzoni 2022 18th IEEE International Conference on Advanced Video and Signal Based …, 2022 | | 2022 |
