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20162021
most citedMesh-based Camera Pairs Selection and Occlusion-Aware Masking for Mesh Refinement

13 citations · 22 across the 9 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020

Spatial Temporal Transformer Network for Skeleton-based Action Recognition

Chiara Plizzari, Marco Cannici, Matteo Matteucci

Skeleton-based human action recognition has achieved a great interest in recent years, as skeleton data has been demonstrated to be robust to illumination changes, body scales, dyn…

cs.CV2020

Facetwise Mesh Refinement for Multi-View Stereo

Andrea Romanoni, Matteo Matteucci

Mesh refinement is a fundamental step for accurate Multi-View Stereo. It modifies the geometry of an initial manifold mesh to minimize the photometric error induced in a set of cam…

cs.LG20202 cited

Estimation of Switched Markov Polynomial NARX models

Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli

This work targets the identification of a class of models for hybrid dynamical systems characterized by nonlinear autoregressive exogenous (NARX) components, with finite-dimensiona…

cs.LG2020

Identification of Probability weighted ARX models with arbitrary domains

Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli

Hybrid system identification is a key tool to achieve reliable models of Cyber-Physical Systems from data. PieceWise Affine models guarantees universal approximation, local lineari…

eess.SY2020

A feedback linearisation algorithm for single-track models with structural stability properties

Luca Bascetta, Marcello Farina, Alessandro Gabrielli +1

This paper proposes a feedback linearizing law for single-track dynamic models, allowing the design of a trajectory tracking controller exploiting linear control theory. The main c…

cs.RO2020

Advances in centerline estimation for autonomous lateral control

Paolo Cudrano, Simone Mentasti, Matteo Matteucci +3

The ability of autonomous vehicles to maintain an accurate trajectory within their road lane is crucial for safe operation. This requires detecting the road lines and estimating th…