Search Results for author: Francesca Odone

Found 16 papers, 3 papers with code

HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty

1 code implementation2 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.

2D Pose Estimation Head Pose Estimation

FasterVideo: Efficient Online Joint Object Detection And Tracking

1 code implementation15 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.

Computational Efficiency Object +3

Are we done with object recognition? The iCub robot's perspective

1 code implementation28 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.

Image Retrieval Object +4

Scale Invariant Interest Points with Shearlets

no code implementations26 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.

Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?

no code implementations13 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.

Image Retrieval Object Recognition +1

Real-time Automatic Emotion Recognition from Body Gestures

no code implementations20 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.

Emotion Recognition

iCub World: Friendly Robots Help Building Good Vision Data-Sets

no code implementations15 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.

Object Recognition

The role of ego vision in view-invariant action recognition

no code implementations10 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.

Action Recognition Transfer Learning

Gaze Estimation for Assisted Living Environments

no code implementations19 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.

Gaze Estimation Pose Estimation +1

Action similarity judgment based on kinematic primitives

no code implementations30 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.

Action Classification Selection bias

Efficient Unsupervised Learning for Plankton Images

no code implementations14 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.

Clustering

Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods

no code implementations16 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.

Image Classification Transfer Learning

View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection

no code implementations29 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.

3D Object Detection Autonomous Vehicles +1

Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?

no code implementations3 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.

Transfer Learning

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