Daniele Di Mauro

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 14

Top Topics

Data Generation

Domain Adaptation

Semantic Segmentation

Indoor Localization

Top Venues

J. Vis. Commun. Image Represent.

VISIGRAPP (5: VISAPP)

Publications

Camillo Quattrocchi, Daniele Di Mauro, Antonino Furnari, Antonino Lopes, Marco Moltisanti, Giovanni Maria Farinella
Put Your PPE on: A Tool for Synthetic Data Generation and Related Benchmark in Construction Site Scenarios. VISIGRAPP (4: VISAPP) (2023)
Camillo Quattrocchi, Antonino Furnari, Daniele Di Mauro, Mario Valerio Giuffrida, Giovanni Maria Farinella
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs. CoRR (2023)
Camillo Quattrocchi, Daniele Di Mauro, Antonino Furnari, Giovanni Maria Farinella
Panoptic Segmentation in Industrial Environments Using Synthetic and Real Data. ICIAP (2) (2022)
Giuseppe Puglisi, Daniele Di Mauro, Antonino Furnari, Luigi Gulino, Giovanni Maria Farinella
Visual RSSI Fingerprinting for Radio-based Indoor Localization. SIGMAP (2022)
Camillo Quattrocchi, Daniele Di Mauro, Antonino Furnari, Giovanni Maria Farinella
Panoptic Segmentation using Synthetic and Real Data. CoRR (2022)
Daniele Di Mauro, Antonino Furnari, Giovanni Signorello, Giovanni Maria Farinella
Unsupervised Domain Adaptation for 6DOF Indoor Localization. VISIGRAPP (5: VISAPP) (2021)
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning. Pattern Recognit. Lett. 136 (2020)
Francesco Ragusa, Daniele Di Mauro, Alfio Palermo, Antonino Furnari, Giovanni Maria Farinella
Semantic Object Segmentation in Cultural Sites using Real and Synthetic Data. ICPR (2020)
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning. CoRR (2020)
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella
Estimating the occupancy status of parking areas by counting cars and non-empty stalls. J. Vis. Commun. Image Represent. 62 (2019)
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella
Scene Adaptation for Semantic Segmentation using Adversarial Learning. AVSS (2018)
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella
A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces. ICETE (1) (2018)
Daniele Di Mauro, Marco Moltisanti, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella
Park Smart. AVSS (2017)
Daniele Di Mauro, Sebastiano Battiato, Giuseppe Patanè, Marco Leotta, Daniele Maio, Giovanni Maria Farinella
Learning Approaches for Parking Lots Classification. ACIVS (2016)
Salvatore Livatino, Giovanni Muscato, Salvatore Sessa, Christina Köffel, Carmelo Arena, Alba Pennisi, Daniele Di Mauro, Erinc Malkondu
Mobile robotic teleguide based on video images. IEEE Robotics Autom. Mag. 15 (4) (2008)