PIETRINI, Rocco
PIETRINI, Rocco
Dipartimento Ingegneria dell'Informazione
A deep learning approach for product detection in intelligent retail environment
2021-01-01 Pazzaglia, G.; Mameli, M.; Frontoni, E.; Zingaretti, P.; Pietrini, R.; Manco, D.; Placidi, V.
A Deep Learning-Based System for Product Recognition in Intelligent Retail Environment
2022-01-01 Pietrini, R; Rossi, L; Mancini, A; Zingaretti, P; Frontoni, E; Paolanti, M
An agent-based WCET analysis for top-view person re-identification
2018-01-01 Paolanti, M.; Placidi, V.; Bernardini, M.; Felicetti, A.; Pietrini, R.; Frontoni, E.
An IOT Edge-Fog-Cloud Architecture for Vision Based Pallet Integrity
2019-01-01 Vaira, Raffaele; Pietrini, R.; Pierdicca, R.; Zingaretti, P.; Mancini, A.; Frontoni, E.
An IoT edge-fog-cloud architecture for vision based planogram integrity
2019-01-01 Pietrini, R.; Placidi, V.; Manco, D.; Frontoni, E.; Paolanti, M.; Zingaretti, P.
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment
2019-01-01 Pietrini, R.; Liciotti, D.; Paolanti, M.; Frontoni, E.; Zingaretti, P.
Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment
2018-01-01 Liciotti, Daniele; Paolanti, Marina; Pietrini, Rocco; Frontoni, Emanuele; Zingaretti, Primo
Crowd emotion detection to light up a smart Christmas tree
2019-01-01 Martini, M; Felicetti, A; Mameli, M; Vaira, R; Pietrini, R; La Porta, S; Marconi, F; Lazzini, I
Deep Learning Approaches for Fashion Knowledge Extraction from Social Media: A Review
2022-01-01 Mameli, M.; Paolanti, M.; Pietrini, R.; Pazzaglia, G.; Frontoni, E.; Zingaretti, P.
Deep Understanding of Shopper Behaviours and Interactions in Intelligent Retail Environment
2020-03-20 Pietrini, Rocco
Deep understanding of shopper behaviours and interactions using RGB-D vision
2020-01-01 Paolanti, Marina; Pietrini, Rocco; Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo
Generating depth images of preterm infants in given poses using GANs
2022-01-01 Cannata, Giuseppe Pio; Migliorelli, Lucia; Mancini, Adriano; Frontoni, Emanuele; Pietrini, Rocco; Moccia, Sara
Implementation of a tracking system based on UWB technology in a retail environment
2016-01-01 Contigiani, Marco; Pietrini, Rocco; Mancini, Adriano; Zingaretti, Primo
Modelling and Forecasting Customer Navigation in Intelligent Retail Environments
2018-01-01 Paolanti, Marina; Liciotti, Daniele; Pietrini, Rocco; Mancini, Adriano; Frontoni, Emanuele
People Counting in Crowded Environment and Re-identification
2019-01-01 Frontoni, Emanuele; Paolanti, Marina; Pietrini, Rocco
PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections
2022-01-01 Paolanti, M.; Pietrini, R.; Della Sciucca, L.; Balloni, E.; Compagnoni, B. L.; Cesarini, A.; Fois, L.; Feliciati, P.; Frontoni, E.
Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection
2018-01-01 Paolanti, Marina; Romeo, Luca; Liciotti, Daniele; Pietrini, Rocco; Cenci, Annalisa; Frontoni, Emanuele; Zingaretti, Primo
Prediction of users trajectories to mimic / avoid the customer behaviour during mapping tasks of an autonomous robot in retail environment
2022-01-01 Maiolini, J; Rossi, L; Pietrini, R; Mancini, A; Frontoni, E; Zingaretti, P
Preterm infants’ limb-pose estimation from depth images using convolutional neural networks
2019-01-01 Moccia, Sara; Migliorelli, Lucia; Pietrini, Rocco; Frontoni, Emanuele
SeSAME: Re-identification-based ambient intelligence system for museum environment
2022-01-01 Paolanti, M; Pierdicca, R; Pietrini, R; Martini, M; Frontoni, E
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A deep learning approach for product detection in intelligent retail environment | 1-gen-2021 | Pazzaglia, G.; Mameli, M.; Frontoni, E.; Zingaretti, P.; Pietrini, R.; Manco, D.; Placidi, V. | |
A Deep Learning-Based System for Product Recognition in Intelligent Retail Environment | 1-gen-2022 | Pietrini, R; Rossi, L; Mancini, A; Zingaretti, P; Frontoni, E; Paolanti, M | |
An agent-based WCET analysis for top-view person re-identification | 1-gen-2018 | Paolanti, M.; Placidi, V.; Bernardini, M.; Felicetti, A.; Pietrini, R.; Frontoni, E. | |
An IOT Edge-Fog-Cloud Architecture for Vision Based Pallet Integrity | 1-gen-2019 | Vaira, Raffaele; Pietrini, R.; Pierdicca, R.; Zingaretti, P.; Mancini, A.; Frontoni, E. | |
An IoT edge-fog-cloud architecture for vision based planogram integrity | 1-gen-2019 | Pietrini, R.; Placidi, V.; Manco, D.; Frontoni, E.; Paolanti, M.; Zingaretti, P. | |
CNN Implementation for Semantic Heads Segmentation Using Top-View Depth Data in Crowded Environment | 1-gen-2019 | Pietrini, R.; Liciotti, D.; Paolanti, M.; Frontoni, E.; Zingaretti, P. | |
Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment | 1-gen-2018 | Liciotti, Daniele; Paolanti, Marina; Pietrini, Rocco; Frontoni, Emanuele; Zingaretti, Primo | |
Crowd emotion detection to light up a smart Christmas tree | 1-gen-2019 | Martini, M; Felicetti, A; Mameli, M; Vaira, R; Pietrini, R; La Porta, S; Marconi, F; Lazzini, I | |
Deep Learning Approaches for Fashion Knowledge Extraction from Social Media: A Review | 1-gen-2022 | Mameli, M.; Paolanti, M.; Pietrini, R.; Pazzaglia, G.; Frontoni, E.; Zingaretti, P. | |
Deep Understanding of Shopper Behaviours and Interactions in Intelligent Retail Environment | 20-mar-2020 | Pietrini, Rocco | |
Deep understanding of shopper behaviours and interactions using RGB-D vision | 1-gen-2020 | Paolanti, Marina; Pietrini, Rocco; Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo | |
Generating depth images of preterm infants in given poses using GANs | 1-gen-2022 | Cannata, Giuseppe Pio; Migliorelli, Lucia; Mancini, Adriano; Frontoni, Emanuele; Pietrini, Rocco; Moccia, Sara | |
Implementation of a tracking system based on UWB technology in a retail environment | 1-gen-2016 | Contigiani, Marco; Pietrini, Rocco; Mancini, Adriano; Zingaretti, Primo | |
Modelling and Forecasting Customer Navigation in Intelligent Retail Environments | 1-gen-2018 | Paolanti, Marina; Liciotti, Daniele; Pietrini, Rocco; Mancini, Adriano; Frontoni, Emanuele | |
People Counting in Crowded Environment and Re-identification | 1-gen-2019 | Frontoni, Emanuele; Paolanti, Marina; Pietrini, Rocco | |
PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections | 1-gen-2022 | Paolanti, M.; Pietrini, R.; Della Sciucca, L.; Balloni, E.; Compagnoni, B. L.; Cesarini, A.; Fois, L.; Feliciati, P.; Frontoni, E. | |
Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection | 1-gen-2018 | Paolanti, Marina; Romeo, Luca; Liciotti, Daniele; Pietrini, Rocco; Cenci, Annalisa; Frontoni, Emanuele; Zingaretti, Primo | |
Prediction of users trajectories to mimic / avoid the customer behaviour during mapping tasks of an autonomous robot in retail environment | 1-gen-2022 | Maiolini, J; Rossi, L; Pietrini, R; Mancini, A; Frontoni, E; Zingaretti, P | |
Preterm infants’ limb-pose estimation from depth images using convolutional neural networks | 1-gen-2019 | Moccia, Sara; Migliorelli, Lucia; Pietrini, Rocco; Frontoni, Emanuele | |
SeSAME: Re-identification-based ambient intelligence system for museum environment | 1-gen-2022 | Paolanti, M; Pierdicca, R; Pietrini, R; Martini, M; Frontoni, E |