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Daniele Di Mauro
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2020 – today
- 2024
- [c10]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. ECCV (72) 2024: 253-270 - 2023
- [c9]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: 656-663 - [i3]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 abs/2312.02638 (2023) - 2022
- [c8]Camillo Quattrocchi, Daniele Di Mauro, Antonino Furnari, Giovanni Maria Farinella:
Panoptic Segmentation in Industrial Environments Using Synthetic and Real Data. ICIAP (2) 2022: 275-286 - [c7]Giuseppe Puglisi, Daniele Di Mauro, Antonino Furnari, Luigi Gulino, Giovanni Maria Farinella:
Visual RSSI Fingerprinting for Radio-based Indoor Localization. SIGMAP 2022: 70-77 - [i2]Camillo Quattrocchi, Daniele Di Mauro, Antonino Furnari, Giovanni Maria Farinella:
Panoptic Segmentation using Synthetic and Real Data. CoRR abs/2204.07069 (2022) - 2021
- [c6]Daniele Di Mauro, Antonino Furnari, Giovanni Signorello, Giovanni Maria Farinella:
Unsupervised Domain Adaptation for 6DOF Indoor Localization. VISIGRAPP (5: VISAPP) 2021: 954-961 - 2020
- [j3]Daniele Di Mauro
, Antonino Furnari
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning. Pattern Recognit. Lett. 136: 175-182 (2020) - [c5]Francesco Ragusa
Semantic Object Segmentation in Cultural Sites using Real and Synthetic Data. ICPR 2020: 1964-1971 - [i1]Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè, Sebastiano Battiato, Giovanni Maria Farinella:
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning. CoRR abs/2006.10386 (2020)
2010 – 2019
- 2019
- [j2]Daniele Di Mauro
Estimating the occupancy status of parking areas by counting cars and non-empty stalls. J. Vis. Commun. Image Represent. 62: 234-244 (2019) - 2018
- [c4]Daniele Di Mauro
Scene Adaptation for Semantic Segmentation using Adversarial Learning. AVSS 2018: 1-6 - [c3]Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè
A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces. ICETE (1) 2018: 494-502 - 2017
- [c2]Daniele Di Mauro
Park Smart. AVSS 2017: 1-5 - 2016
- [c1]Daniele Di Mauro, Sebastiano Battiato, Giuseppe Patanè, Marco Leotta, Daniele Maio, Giovanni Maria Farinella
Learning Approaches for Parking Lots Classification. ACIVS 2016: 410-418
2000 – 2009
- 2008
- [j1]Salvatore Livatino, Giovanni Muscato, Salvatore Sessa
Mobile robotic teleguide based on video images. IEEE Robotics Autom. Mag. 15(4): 58-67 (2008)
Coauthor Index
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