Daniele De Gregorio

According to our database, Daniele De Gregorio authored at least 21 papers between 2016 and 2023.

Collaborative distances:

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

2023

ScanNeRF: a Scalable Benchmark for Neural Radiance Fields.

Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

NeRF-Supervised Deep Stereo.

Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects.

Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Ariadne+: Deep Learning-Based Augmented Framework for the Instance Segmentation of Wires.

Alessio Caporali, Riccardo Zanella, Daniele De Gregorio, Gianluca Palli

IEEE Trans. Ind. Informatics, 2022

The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization.

Luca Bonfiglioli, Marco Toschi, Davide Silvestri, Nicola Fioraio, Daniele De Gregorio

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot.

Daniele De Gregorio, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi Di Stefano

IEEE Access, 2021

2020

Automatized Switchgear Wiring: An Outline of the WIRES Experiment Results.

Gianluca Palli, Salvatore Pirozzi, Maurizio Indovini, Daniele De Gregorio, Riccardo Zanella, Claudio Melchiorri

Proceedings of the Advances in Robotics Research: From Lab to Market, 2020

Semiautomatic Labeling for Deep Learning in Robotics.

Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano

IEEE Trans Autom. Sci. Eng., 2020

Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings.

Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi Di Stefano

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

Shooting Labels: 3D Semantic Labeling by Virtual Reality.

Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi Di Stefano

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020

2019

Integration of Robotic Vision and Tactile Sensing for Wire-Terminal Insertion Tasks.

Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Salvatore Pirozzi, Claudio Melchiorri

IEEE Trans Autom. Sci. Eng., 2019

Shooting Labels: 3D Semantic Labeling by Virtual Reality.

Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi Di Stefano

CoRR, 2019

Semi-Automatic Labeling for Deep Learning in Robotics.

Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi Di Stefano

CoRR, 2019

Design and Evaluation of a Factorization-Based Grasp Myoelectric Control Founded on Synergies.

Roberto Meattini, Daniele De Gregorio, Gianluca Palli, Claudio Melchiorri

Proceedings of the 12th International Workshop on Robot Motion and Control, 2019

A Control Architecture for Grasp Strength Regulation in Myocontrolled Robotic Hands Using Vibrotactile Feedback: Preliminary Results.

Roberto Meattini, Luigi Biagiotti, Gianluca Palli, Daniele De Gregorio, Claudio Melchiorri

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

DLO-in-Hole for Assembly Tasks with Tactile Feedback and LSTM Networks.

Riccardo Zanella, Daniele De Gregorio, Salvatore Pirozzi, Gianluca Palli

Proceedings of the 6th International Conference on Control, 2019

2018

Physical-consistent behavior embodied in B-spline curves for robot path planning.

Davide Chiaravalli, Federico Califano, Luigi Biagiotti, Daniele De Gregorio, Claudio Melchiorri

Proceedings of the 12th IFAC Symposium on Robot Control, 2018

Let's Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation.

Daniele De Gregorio, Gianluca Palli, Luigi Di Stefano

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

SkiMap: An efficient mapping framework for robot navigation.

Daniele De Gregorio, Luigi Di Stefano

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

SkiMap++: Real-Time Mapping and Object Recognition for Robotics.

Daniele De Gregorio, Tommaso Cavallari, Luigi Di Stefano

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction.

Daniele De Gregorio, Federico Tombari, Luigi Di Stefano

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016