3 papers
cs.RO2020
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
Daniele De Gregorio, Riccardo Zanella, Gianluca Palli +1
In this paper we investigate how to effectively deploy deep learning in practical industrial settings, such as robotic grasping applications. When a deep-learning based solution is…
cs.CV2019
Shooting Labels: 3D Semantic Labeling by Virtual Reality
Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi +3
Availability of a few, large-size, annotated datasets, like ImageNet, Pascal VOC and COCO, has lead deep learning to revolutionize computer vision research by achieving astonishing…
cs.CV2018
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation
Daniele De Gregorio, Gianluca Palli, Luigi Di Stefano
While robotic manipulation of rigid objects is quite straightforward, coping with deformable objects is an open issue. More specifically, tasks like tying a knot, wiring a connecto…