RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction. - Daniele De Gregorio; Federico Tombari; Luigi Di Stefano (ECCV Workshops (3), 2016)

SkiMap++: Real-Time Mapping and Object Recognition for Robotics. - Daniele De Gregorio; Tommaso Cavallari; Luigi Di Stefano (ICCV Workshops, 2017)

SkiMap: An efficient mapping framework for robot navigation. - Daniele De Gregorio; Luigi Di Stefano (ICRA, 2017)

Let's Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. - Daniele De Gregorio; Gianluca Palli; Luigi Di Stefano (ACCV (2), 2018)

Physical-consistent behavior embodied in B-spline curves for robot path planning. - Davide Chiaravalli; Federico Califano; Luigi Biagiotti; Daniele De Gregorio; Claudio Melchiorri (SyRoCo, 2018)

DLO-in-Hole for Assembly Tasks with Tactile Feedback and LSTM Networks. - Riccardo Zanella; Daniele De Gregorio; Salvatore Pirozzi; Gianluca Palli (CoDIT, 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 (ICORR, 2019)

Design and Evaluation of a Factorization-Based Grasp Myoelectric Control Founded on Synergies. - Roberto Meattini; Daniele De Gregorio; Gianluca Palli; Claudio Melchiorri (RoMoCo, 2019)

Semi-Automatic Labeling for Deep Learning in Robotics. - Daniele De Gregorio; Alessio Tonioni; Gianluca Palli; Luigi Di Stefano (CoRR, 2019)

Shooting Labels: 3D Semantic Labeling by Virtual Reality. - Pierluigi Zama Ramirez; Claudio Paternesi; Daniele De Gregorio; Luigi Di Stefano (CoRR, 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; Luca De Luigi; Luigi Lella; Daniele De Gregorio; Luigi Di Stefano (AIVR, 2020)

Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. - Daniele De Gregorio; Riccardo Zanella; Gianluca Palli; Luigi Di Stefano (ICPR, 2020)

Semiautomatic Labeling for Deep Learning in Robotics. - Daniele De Gregorio; Alessio Tonioni; Gianluca Palli; Luigi Di Stefano (IEEE Trans Autom. Sci. Eng., 2020)

Automatized Switchgear Wiring: An Outline of the WIRES Experiment Results. - Gianluca Palli; Salvatore Pirozzi; Maurizio Indovini; Daniele De Gregorio; Riccardo Zanella; Claudio Melchiorri (ECHORD++, 2020)

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)

The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization. - Luca Bonfiglioli; Marco Toschi; Davide Silvestri; Nicola Fioraio; Daniele De Gregorio (ACCV (5), 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)

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 (CVPR, 2023)

NeRF-Supervised Deep Stereo. - Fabio Tosi; Alessio Tonioni; Daniele De Gregorio; Matteo Poggi (CVPR, 2023)

ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. - Luca De Luigi; Damiano Bolognini; Federico Domeniconi; Daniele De Gregorio; Matteo Poggi; Luigi Di Stefano (WACV, 2023)