57 citations · 99 across the 9 of their papers we have counts for
9 papers
iCub Knows Where You Look: Exploiting Social Cues for Interactive Object Detection Learning
Maria Lombardi, Elisa Maiettini, Vadim Tikhanoff +1
Performing joint interaction requires constant mutual monitoring of own actions and their effects on the other's behaviour. Such an action-effect monitoring is boosted by social cu…
Weakly-Supervised Object Detection Learning through Human-Robot Interaction
Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale
Reliable perception and efficient adaptation to novel conditions are priority skills for humanoids that function in dynamic environments. The vast advancements in latest computer v…
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
Elisa Maiettini, Andrea Maracani, Raffaello Camoriano +4
Deep Learning (DL) based methods for object detection achieve remarkable performance at the cost of computationally expensive training and extensive data labeling. Robots embodimen…
Sequence-to-Sequence Natural Language to Humanoid Robot Sign Language
Jennifer J. Gago, Valentina Vasco, Bartek Łukawski +4
This paper presents a study on natural language to sign language translation with human-robot interaction application purposes. By means of the presented methodology, the humanoid…
Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset
Raul Fernandez-Fernandez, Juan G. Victores, David Estevez +1
The Quick, Draw! Dataset is a Google dataset with a collection of 50 million drawings, divided in 345 categories, collected from the users of the game Quick, Draw!. In contrast wit…
Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments
Giovanni Morrone, Luca Pasa, Vadim Tikhanoff +3
In this paper, we address the problem of enhancing the speech of a speaker of interest in a cocktail party scenario when visual information of the speaker of interest is available.…