54 citations · 134 across the 13 of their papers we have counts for
15 papers
Human-Inspired Social Engagement Analysis via Interpretable Mutual Visual Attention
Urwa Fatima, Mohammad Zohaib, Francesca Odone +1
Understanding social interactions from non-verbal visual data is important for behavior analysis and activity monitoring. We propose an interpretable computational model of social…
Transferring disentangled representations: bridging the gap between synthetic and real images
Jacopo Dapueto, Nicoletta Noceti, Francesca Odone
Developing meaningful and efficient representations that separate the fundamental structure of the data generation mechanism is crucial in representation learning. However, Disenta…
View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection
Issa Mouawad, Nikolas Brasch, Fabian Manhardt +2
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…
Efficient Unsupervised Learning for Plankton Images
Paolo Didier Alfano, Marco Rando, Marco Letizia +3
Monitoring plankton populations in situ is fundamental to preserve the aquatic ecosystem. Plankton microorganisms are in fact susceptible of minor environmental perturbations, that…
FasterVideo: Efficient Online Joint Object Detection And Tracking
Issa Mouawad, Francesca Odone
Object detection and tracking in videos represent essential and computationally demanding building blocks for current and future visual perception systems. In order to reduce the e…
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection
Issa Mouawad, Nikolas Brasch, Fabian Manhardt +2
Monocular 3D object detection continues to attract attention due to the cost benefits and wider availability of RGB cameras. Despite the recent advances and the ability to acquire…
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty
Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti +1
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. To this purpose, we propose a regression…
Action similarity judgment based on kinematic primitives
Vipul Nair, Paul Hemeren, Alessia Vignolo +7
Understanding which features humans rely on -- in visually recognizing action similarity is a crucial step towards a clearer picture of human action perception from a learning and…
Gaze Estimation for Assisted Living Environments
Philipe A. Dias, Damiano Malafronte, Henry Medeiros +1
Effective assisted living environments must be able to perform inferences on how their occupants interact with one another as well as with surrounding objects. To accomplish this g…
The role of ego vision in view-invariant action recognition
Gaurvi Goyal, Nicoletta Noceti, Francesca Odone +1
Analysis and interpretation of egocentric video data is becoming more and more important with the increasing availability and use of wearable cameras. Exploring and fully understan…
Are we done with object recognition? The iCub robot's perspective
Giulia Pasquale, Carlo Ciliberto, Francesca Odone +2
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 use…
Scale Invariant Interest Points with Shearlets
Miguel A. Duval-Poo, Nicoletta Noceti, Francesca Odone +1
Shearlets are a relatively new directional multi-scale framework for signal analysis, which have been shown effective to enhance signal discontinuities such as edges and corners at…
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?
Giulia Pasquale, Carlo Ciliberto, Francesca Odone +2
The ability to visually recognize objects is a fundamental skill for robotics systems. Indeed, a large variety of tasks involving manipulation, navigation or interaction with other…
Real-time Automatic Emotion Recognition from Body Gestures
Stefano Piana, Alessandra Staglianò, Francesca Odone +2
Although psychological research indicates that bodily expressions convey important affective information, to date research in emotion recognition focused mainly on facial expressio…
iCub World: Friendly Robots Help Building Good Vision Data-Sets
Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro +4
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…