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Damian Campo
Damian Campo
Verified email at ginevra.dibe.unige.it - Homepage
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Year
Learning switching models for abnormality detection for autonomous driving
M Baydoun, D Campo, V Sanguineti, L Marcenaro, A Cavallaro, ...
2018 21st International Conference on Information Fusion (FUSION), 2606-2613, 2018
492018
A multi-perspective approach to anomaly detection for self-aware embodied agents
M Baydoun, M Ravanbakhsh, D Campo, P Marin, D Martin, L Marcenaro, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
302018
Learning multi-modal self-awareness models for autonomous vehicles from human driving
M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ...
2018 21st International Conference on Information Fusion (FUSION), 1866-1873, 2018
272018
Static force field representation of environments based on agents’ nonlinear motions
D Campo, A Betancourt, L Marcenaro, C Regazzoni
EURASIP Journal on Advances in Signal Processing 2017, 1-15, 2017
262017
Multisensorial generative and descriptive self-awareness models for autonomous systems
CS Regazzoni, L Marcenaro, D Campo, B Rinner
Proceedings of the IEEE 108 (7), 987-1010, 2020
222020
Clustering optimization for abnormality detection in semi-autonomous systems
H Iqbal, D Campo, M Baydoun, L Marcenaro, DM Gomez, C Regazzoni
1st international workshop on multimodal understanding and learning for …, 2019
192019
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
182021
Hierarchy of GANs for learning embodied self-awareness model
M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ...
2018 25th IEEE International Conference on Image Processing (ICIP), 1987-1991, 2018
182018
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
172020
Jammer detection algorithm for wide-band radios using spectral correlation and neural networks
T Nawaz, D Campo, MO Mughal, L Marcenaro, CS Regazzoni
2017 13th International Wireless Communications and Mobile Computing …, 2017
172017
Dynamic bayesian approach for decision-making in ego-things
D Kanapram, D Campo, M Baydoun, L Marcenaro, EL Bodanese, ...
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 909-914, 2019
162019
Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech.
D Campo, OL Quintero, M Bastidas
Journal of Physics: Conference Series 705 (1), 012034, 2016
162016
Learning probabilistic awareness models for detecting abnormalities in vehicle motions
D Campo, M Baydoun, P Marin, D Martin, L Marcenaro, A de la Escalera, ...
IEEE Transactions on Intelligent Transportation Systems 21 (3), 1308-1320, 2019
152019
Online pedestrian group walking event detection using spectral analysis of motion similarity graph
V Bastani, D Campo, L Marcenaro, C Regazzoni
2015 12th IEEE International Conference on Advanced Video and Signal Based …, 2015
152015
Prediction of multi-target dynamics using discrete descriptors: an interactive approach
M Baydoun, D Campo, D Kanapram, L Marcenaro, CS Regazzoni
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
132019
Learning self-awareness for autonomous vehicles: Exploring multisensory incremental models
M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ...
IEEE Transactions on Intelligent Transportation Systems 22 (6), 3372-3386, 2020
112020
Modeling perception in autonomous vehicles via 3D convolutional representations on LiDAR
H Iqbal, D Campo, P Marin-Plaza, L Marcenaro, DM Gómez, C Regazzoni
IEEE Transactions on Intelligent Transportation Systems 23 (9), 14608-14619, 2021
102021
Unsupervised trajectory modeling based on discrete descriptors for classifying moving objects in video sequences
D Campo, M Baydoun, L Marcenaro, A Cavallaro, CS Regazzoni
2018 25th IEEE International Conference on Image Processing (ICIP), 833-837, 2018
82018
Modeling and classification of trajectories based on a gaussian process decomposition into discrete components
D Campo, M Baydoun, L Marcenaro, A Cavallaro, CS Regazzoni
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
82017
Data-driven transition matrix estimation in probabilistic learning models for autonomous driving
H Iqbal, D Campo, L Marcenaro, DM Gomez, C Regazzoni
Signal Processing 188, 108170, 2021
72021
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