1 code implementation • 2 Nov 2021 • Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti, Francesca Odone
In this paper we introduce a novel method to estimate the head pose of people in single images starting from a small set of head keypoints.
1 code implementation • 15 Apr 2022 • Issa Mouawad, Francesca Odone
Object detection and tracking in videos represent essential and computationally demanding building blocks for current and future visual perception systems.
1 code implementation • 28 Sep 2017 • Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
We report on an extensive study of the benefits and limitations of current deep learning approaches to object recognition in robot vision scenarios, introducing a novel dataset used for our investigation.
no code implementations • 26 Jul 2016 • Miguel A. Duval-Poo, Nicoletta Noceti, Francesca Odone, Ernesto de Vito
We derive a measure which is very effective for blob detection and closely related to the Laplacian of Gaussian.
no code implementations • 13 Apr 2015 • Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
In this paper we investigate such possibility, while taking further steps in developing a computational vision system to be embedded on a robotic platform, the iCub humanoid robot.
no code implementations • 20 Feb 2014 • Stefano Piana, Alessandra Staglianò, Francesca Odone, Alessandro Verri, Antonio Camurri
Although psychological research indicates that bodily expressions convey important affective information, to date research in emotion recognition focused mainly on facial expression or voice analysis.
no code implementations • 15 Jun 2013 • Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco, Francesca Odone
In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid robot platform.
no code implementations • CVPR 2014 • Sean Ryan Fanello, Nicoletta Noceti, Carlo Ciliberto, Giorgio Metta, Francesca Odone
In this paper we propose a weighted supervised pooling method for visual recognition systems.
no code implementations • 10 Jun 2019 • Gaurvi Goyal, Nicoletta Noceti, Francesca Odone, Alessandra Sciutti
Analysis and interpretation of egocentric video data is becoming more and more important with the increasing availability and use of wearable cameras.
no code implementations • 19 Sep 2019 • Philipe A. Dias, Damiano Malafronte, Henry Medeiros, Francesca Odone
Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects.
no code implementations • 30 Aug 2020 • Vipul Nair, Paul Hemeren, Alessia Vignolo, Nicoletta Noceti, Elena Nicora, Alessandra Sciutti, Francesco Rea, Erik Billing, Francesca Odone, Giulio Sandini
The results show that both the model and human performance are highly accurate in an action similarity task based on kinematic-level features, which can provide an essential basis for classifying human actions.
no code implementations • 4 Mar 2022 • Issa Mouawad, Nikolas Brasch, Fabian Manhardt, Federico Tombari, Francesca Odone
Monocular 3D object detection continues to attract attention due to the cost benefits and wider availability of RGB cameras.
no code implementations • 14 Sep 2022 • Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
We compare our method with state-of-the-art unsupervised approaches, where a set of pre-defined hand-crafted features is used for clustering of plankton images.
no code implementations • 16 Sep 2022 • Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone
In this paper, focusing on image classification, we consider a simple transfer learning approach exploiting pre-trained convolutional features as input for a fast-to-train kernel method.
no code implementations • 29 May 2023 • Issa Mouawad, Nikolas Brasch, Fabian Manhardt, Federico Tombari, Francesca Odone
For autonomous vehicles, driving safely is highly dependent on the capability to correctly perceive the environment in 3D space, hence the task of 3D object detection represents a fundamental aspect of perception.
no code implementations • 3 Mar 2024 • Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore
Our findings can provide an indication for the development of robust landmark detection systems in medical images when no large annotated dataset is available.