Background subtraction by combining Temporal and Spatio-Temporal histograms in the presence of camera movement. - Andrea Romanoni; Matteo Matteucci; Domenico G. Sorrenti (Mach. Vis. Appl., 2014)

Efficient Moving Point Handling for Incremental 3D Manifold Reconstruction. - Andrea Romanoni; Matteo Matteucci (ICIAP (1), 2015)

Incremental reconstruction of urban environments by Edge-Points Delaunay triangulation. - Andrea Romanoni; Matteo Matteucci (IROS, 2015)

Backward-Simulation Particle Smoother with a hybrid state for 3D vehicle trajectory, class and dimension simultaneous estimation. - Andrea Romanoni; Domenico G. Sorrenti; Matteo Matteucci (Mach. Vis. Appl., 2015)

A comparison of two Monte Carlo algorithms for 3D vehicle trajectory reconstruction in roundabouts. - Andrea Romanoni; Lorenzo Mussone; Davide Rizzi; Matteo Matteucci (Pattern Recognit. Lett., 2015)

Robust moving objects detection in lidar data exploiting visual cues. - Gheorghii Postica; Andrea Romanoni; Matteo Matteucci (IROS, 2016)

Automatic 3D reconstruction of manifold meshes via delaunay triangulation and mesh sweeping. - Andrea Romanoni; Amaël Delaunoy; Marc Pollefeys; Matteo Matteucci (WACV, 2016)

Multi-view Stereo with Single-View Semantic Mesh Refinement. - Andrea Romanoni; Marco Ciccone; Francesco Visin; Matteo Matteucci (ICCV Workshops, 2017)

Mesh-based 3D textured urban mapping. - Andrea Romanoni; Daniele Fiorenti; Matteo Matteucci (IROS, 2017)

Incremental large-scale visual 3D mesh reconstruction. - Andrea Romanoni (2017)

A Data-Driven Prior on Facet Orientation for Semantic Mesh Labeling. - Andrea Romanoni; Matteo Matteucci (3DV, 2018)

Predicting the Next Best View for 3D Mesh Refinement. - Luca Morreale; Andrea Romanoni; Matteo Matteucci (IAS, 2018)

Multi-view Stereo 3D Edge Reconstruction. - Andrea Bignoli; Andrea Romanoni; Matteo Matteucci (WACV, 2018)

Real-time CPU-based large-scale 3D mesh reconstruction. - Enrico Piazza; Andrea Romanoni; Matteo Matteucci (CoRR, 2018)

Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (CoRR, 2018)

Real-Time CPU-Based Large-Scale Three-Dimensional Mesh Reconstruction. - Enrico Piazza; Andrea Romanoni; Matteo Matteucci (IEEE Robotics Autom. Lett., 2018)

Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (CVPR Workshops, 2019)

TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. - Andrea Romanoni; Matteo Matteucci (ICCV, 2019)

Dense 3D Visual Mapping via Semantic Simplification. - Luca Morreale; Andrea Romanoni; Matteo Matteucci (ICRA, 2019)

Attention Mechanisms for Object Recognition With Event-Based Cameras. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (WACV, 2019)

Mesh-based camera pairs selection and occlusion-aware masking for mesh refinement. - Andrea Romanoni; Matteo Matteucci (Pattern Recognit. Lett., 2019)

A Differentiable Recurrent Surface for Asynchronous Event-Based Data. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (ECCV (20), 2020)

SECI-GAN: Semantic and Edge Completion for dynamic objects removal. - Francesco Pinto; Andrea Romanoni; Matteo Matteucci; Philip H. S. Torr (ICPR, 2020)

Facetwise Mesh Refinement for Multi- View Stereo. - Andrea Romanoni; Matteo Matteucci (ICPR, 2020)

VGM-Bench: FPU Benchmark Suite for Computer Vision, Computer Graphics and Machine Learning Applications. - Luca Cremona; William Fornaciari; Andrea Galimberti; Andrea Romanoni; Davide Zoni (SAMOS, 2020)

Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (CoRR, 2020)

Improving Multi-View Stereo via Super-Resolution. - Eugenio Lomurno; Andrea Romanoni; Matteo Matteucci (ICIAP (2), 2022)