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Luca Minciullo

2 accepted papers

2021

DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration

IROS 2021poster

The ability to successfully grasp objects is crucial in robotics, as it enables several interactive downstream applications. To this end, most approaches either compute the full 6D pose for the object of interest or learn to predict a set of grasping points. While the former approaches do not scale…

Cited by 38SourceScholar
2019

Toyota Smarthome: Real-World Activities of Daily Living

ICCV 2019poster

The performance of deep neural networks is strongly influenced by the quantity and quality of annotated data. Most of the large activity recognition datasets consist of data sourced from the web, which does not reflect challenges that exist in activities of daily living. In this paper, we introduce…

Cited by 204PDFScholar