Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection. - Marco San-Biagio; Marco Crocco; Marco Cristani; Samuele Martelli; Vittorio Murino (FUSION, 2012)

A multiple kernel learning approach to multi-modal pedestrian classification. - Marco San-Biagio; Aydin Ulas; Marco Crocco; Marco Cristani; Umberto Castellani; Vittorio Murino (ICPR, 2012)

Recursive segmentation based on higher order statistics in thermal imaging pedestrian detection. - Marco San-Biagio; Marco Crocco; Marco Cristani (ISCCSP, 2012)

Encoding Classes of Unaligned Objects Using Structural Similarity Cross-Covariance Tensors. - Marco San-Biagio; Samuele Martelli; Marco Crocco; Marco Cristani; Vittorio Murino (CIARP (1), 2013)

Heterogeneous Auto-similarities of Characteristics (HASC): Exploiting Relational Information for Classification. - Marco San-Biagio; Marco Crocco; Marco Cristani; Samuele Martelli; Vittorio Murino (ICCV, 2013)

Weighted bag of visual words for object recognition. - Marco San-Biagio; Loris Bazzani; Marco Cristani; Vittorio Murino (ICIP, 2014)

Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces. - Minh Ha Quang; Marco San-Biagio; Vittorio Murino (NIPS, 2014)

Encoding Structural Similarity by Cross-covariance Tensors for Image Classification. - Marco San-Biagio; Samuele Martelli; Marco Crocco; Marco Cristani; Vittorio Murino (Int. J. Pattern Recognit. Artif. Intell., 2014)

Latent subcategory models for pedestrian detection with partial occlusion handling. - Samuele Martelli; Marco San-Biagio; Vittorio Murino (AVSS, 2015)

Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices. - Luca Dodero; Ha Quang Minh; Marco San-Biagio; Vittorio Murino; Diego Sona (ISBI, 2015)

Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification. - Ha Quang Minh; Marco San-Biagio; Loris Bazzani; Vittorio Murino (CVPR, 2016)

Kernelized covariance for action recognition. - Jacopo Cavazza; Andrea Zunino; Marco San-Biagio; Vittorio Murino (ICPR, 2016)

Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification. - Ha Quang Minh; Marco San-Biagio; Loris Bazzani; Vittorio Murino (CoRR, 2016)

Automatic inspection of aeronautic components. - Marco San-Biagio; Carlos Beltrán-González; Salvatore Giunta; Alessio Del Bue; Vittorio Murino (Mach. Vis. Appl., 2017)

Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition. - Slawomir Bak; Marco San-Biagio; Ratnesh Kumar 003; Vittorio Murino; François Brémond (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A new SOCMINT framework for Threat Intelligence Identification. - Marco San-Biagio; Roberto Acquaviva; Valentina Mazzonello; Ernesto La Mattina; Vito Morreale (CSCI, 2021)

Surrogate Modelling for Injection Molding Processes using Machine Learning. - Arsenii Uglov; Sergei M. Nikolaev; Sergei D. Belov; Daniil I. Padalitsa; Tatiana Greenkina; Marco San-Biagio; Fabio Cacciatori (CoRR, 2021)

THINT: a Deep Learning Framework for Terrorist Threats Identification in Social Media. - Marco San-Biagio; Valerio Scarfone; Ernesto La Mattina; Vito Morreale (ICECET, 2024)