Davide Mazzini

According to our database, Davide Mazzini authored at least 17 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

RetailAction: Dataset for Multi-View Spatio-Temporal Localization of Human-Object Interactions in Retail.

Davide Mazzini, Alberto Raimondi, Bruno Abbate, Daniel Fischetti, David M. Woollard

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2020

Benchmarking algorithms for food localization and semantic segmentation.

Sinem Aslan, Gianluigi Ciocca, Davide Mazzini, Raimondo Schettini

Int. J. Mach. Learn. Cybern., 2020

Light3DPose: Real-time Multi-Person 3D PoseEstimation from Multiple Views.

Alessio Elmi, Davide Mazzini, Pietro Tortella

CoRR, 2020

A Novel Approach to Data Augmentation for Pavement Distress Segmentation.

Davide Mazzini, Paolo Napoletano, Flavio Piccoli, Raimondo Schettini

Comput. Ind., 2020

Light3DPose: Real-time Multi-Person 3D Pose Estimation from Multiple Views.

Alessio Elmi, Davide Mazzini, Pietro Tortella

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Multitask painting categorization by deep multibranch neural network.

Simone Bianco, Davide Mazzini, Paolo Napoletano, Raimondo Schettini

Expert Syst. Appl., 2019

Training Efficient Semantic Segmentation CNNs on Multiple Datasets.

Marco Leonardi, Davide Mazzini, Raimondo Schettini

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Spatial Sampling Network for Fast Scene Understanding.

Davide Mazzini, Raimondo Schettini

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Evaluating CNN-Based Semantic Food Segmentation Across Illuminants.

Gianluigi Ciocca, Davide Mazzini, Raimondo Schettini

Proceedings of the Computational Color Imaging - 7th International Workshop, 2019

2018

Local Detectors and Descriptors for Object and Scene Recognition.

Davide Mazzini

PhD thesis, 2018

A CNN Architecture for Efficient Semantic Segmentation of Street Scenes.

Davide Mazzini, Marco Buzzelli, Danilo Pietro Pau, Raimondo Schettini

Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018

Guided Upsampling Network for Real-Time Semantic Segmentation.

Davide Mazzini

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Deep learning for logo recognition.

Simone Bianco, Marco Buzzelli, Davide Mazzini, Raimondo Schettini

Neurocomputing, 2017

Deep Multibranch Neural Network for Painting Categorization.

Simone Bianco, Davide Mazzini, Raimondo Schettini

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2015

Local detectors and compact descriptors for visual search: A quantitative comparison.

Simone Bianco, Davide Mazzini, Danilo Pietro Pau, Raimondo Schettini

Digit. Signal Process., 2015

Logo Recognition Using CNN Features.

Simone Bianco, Marco Buzzelli, Davide Mazzini, Raimondo Schettini

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2013

Quantitative review of local descriptors for visual search.

Simone Bianco, Raimondo Schettini, Davide Mazzini, Danilo Pietro Pau

Proceedings of the IEEE Third International Conference on Consumer Electronics, 2013