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Daniele De Gregorio
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2020 – today
- 2023
- [c14]Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi:
NeRF-Supervised Deep Stereo. CVPR 2023: 855-866 - [c13]Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti:
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CVPR 2023: 20762-20772 - [c12]Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano:
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. WACV 2023: 816-825 - [i9]Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi:
NeRF-Supervised Deep Stereo. CoRR abs/2303.17603 (2023) - [i8]Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti:
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects. CoRR abs/2304.10448 (2023) - 2022
- [j4]Alessio Caporali
, Riccardo Zanella
, Daniele De Gregorio, Gianluca Palli
:
Ariadne+: Deep Learning-Based Augmented Framework for the Instance Segmentation of Wires. IEEE Trans. Ind. Informatics 18(12): 8607-8617 (2022) - [c11]Luca Bonfiglioli
, Marco Toschi
, Davide Silvestri
, Nicola Fioraio
, Daniele De Gregorio
:
The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization. ACCV (5) 2022: 459-475 - [i7]Luca Bonfiglioli, Marco Toschi, Davide Silvestri, Nicola Fioraio, Daniele De Gregorio:
The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization. CoRR abs/2210.04570 (2022) - [i6]Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano:
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. CoRR abs/2211.13762 (2022) - 2021
- [j3]Daniele De Gregorio
, Matteo Poggi
, Pierluigi Zama Ramirez
, Gianluca Palli
, Stefano Mattoccia
, Luigi Di Stefano
:
Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. IEEE Access 9: 119755-119765 (2021) - 2020
- [j2]Daniele De Gregorio
, Alessio Tonioni
, Gianluca Palli
, Luigi Di Stefano
:
Semiautomatic Labeling for Deep Learning in Robotics. IEEE Trans Autom. Sci. Eng. 17(2): 611-620 (2020) - [c10]Pierluigi Zama Ramirez
, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi Di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. AIVR 2020: 99-106 - [c9]Daniele De Gregorio, Riccardo Zanella
, Gianluca Palli
, Luigi Di Stefano:
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. ICPR 2020: 7419-7426 - [p1]Gianluca Palli
, Salvatore Pirozzi, Maurizio Indovini, Daniele De Gregorio, Riccardo Zanella
, Claudio Melchiorri
:
Automatized Switchgear Wiring: An Outline of the WIRES Experiment Results. ECHORD++ 2020: 107-123 - [i5]Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi Di Stefano:
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. CoRR abs/2012.13210 (2020)
2010 – 2019
- 2019
- [j1]Daniele De Gregorio
, Riccardo Zanella
, Gianluca Palli
, Salvatore Pirozzi
, Claudio Melchiorri
:
Integration of Robotic Vision and Tactile Sensing for Wire-Terminal Insertion Tasks. IEEE Trans Autom. Sci. Eng. 16(2): 585-598 (2019) - [c8]Riccardo Zanella
, Daniele De Gregorio, Salvatore Pirozzi, Gianluca Palli
:
DLO-in-Hole for Assembly Tasks with Tactile Feedback and LSTM Networks. CoDIT 2019: 285-290 - [c7]Roberto Meattini
, Luigi Biagiotti
, Gianluca Palli
, Daniele De Gregorio, Claudio Melchiorri
:
A Control Architecture for Grasp Strength Regulation in Myocontrolled Robotic Hands Using Vibrotactile Feedback: Preliminary Results. ICORR 2019: 1272-1277 - [c6]Roberto Meattini
, Daniele De Gregorio, Gianluca Palli
, Claudio Melchiorri
:
Design and Evaluation of a Factorization-Based Grasp Myoelectric Control Founded on Synergies. RoMoCo 2019: 252-257 - [i4]Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano:
Semi-Automatic Labeling for Deep Learning in Robotics. CoRR abs/1908.01862 (2019) - [i3]Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi Di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. CoRR abs/1910.05021 (2019) - 2018
- [c5]Daniele De Gregorio
, Gianluca Palli
, Luigi Di Stefano
:
Let's Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. ACCV (2) 2018: 662-677 - [c4]Davide Chiaravalli, Federico Califano
, Luigi Biagiotti
, Daniele De Gregorio, Claudio Melchiorri
:
Physical-consistent behavior embodied in B-spline curves for robot path planning. SyRoCo 2018: 306-311 - [i2]Daniele De Gregorio, Gianluca Palli, Luigi Di Stefano:
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. CoRR abs/1810.04461 (2018) - 2017
- [c3]Daniele De Gregorio, Tommaso Cavallari, Luigi Di Stefano:
SkiMap++: Real-Time Mapping and Object Recognition for Robotics. ICCV Workshops 2017: 660-668 - [c2]Daniele De Gregorio, Luigi Di Stefano:
SkiMap: An efficient mapping framework for robot navigation. ICRA 2017: 2569-2576 - [i1]Daniele De Gregorio, Luigi Di Stefano:
SkiMap: An Efficient Mapping Framework for Robot Navigation. CoRR abs/1704.05832 (2017) - 2016
- [c1]Daniele De Gregorio, Federico Tombari, Luigi Di Stefano:
RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction. ECCV Workshops (3) 2016: 634-647
Coauthor Index
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