activity
20192025
most citedGAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud

30 citations · 35 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SY2025

Damping Identification Sensitivity in Flutter Speed Estimation

Gabriele Dessena, Alessandro Pontillo, Marco Civera +3

Predicting flutter remains a key challenge in aeroelastic research, with certain models relying on modal parameters, such as natural frequencies and damping ratios. These models ar…

cs.CE2025

A Paradigm Shift to Assembly-like Finite Element Model Updating

Gabriele Dessena, Alessandro Pontillo, Dmitry I. Ignatyev +2

In general, there is a mismatch between a finite element model {(FEM)} of a structure and its real behaviour. In aeronautics, this mismatch must be small because {FEM}s are a funda…

cs.CV2020

Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation

Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos

Autonomous systems need to localize and track surrounding objects in 3D space for safe motion planning. As a result, 3D multi-object tracking (MOT) plays a vital role in autonomous…

nlin.AO2020

Uncertainty Quantification of Multi-Scale Resilience in Nonlinear Complex Networks using Arbitrary Polynomial Chaos

Mengbang Zou, Luca Zanotti Fragonara, Weisi Guo

Resilience characterizes a system's ability to retain its original function when perturbations happen. In the past years our attention mainly focused on small-scale resilience, yet…

cs.CV2020

RoIFusion: 3D Object Detection from LiDAR and Vision

Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos

When localizing and detecting 3D objects for autonomous driving scenes, obtaining information from multiple sensor (e.g. camera, LIDAR) typically increases the robustness of 3D det…

cs.CV20191 cited

Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions

Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos

In order to achieve better performance for point cloud analysis, many researchers apply deeper neural networks using stacked Multi-Layer-Perceptron (MLP) convolutions over irregula…