2 code implementations • 27 Jan 2018 • Marco Carletti, Marco Godi, Maedeh Aghaei, Francesco Giuliari, Marco Cristani
In deep learning, visualization techniques extract the salient patterns exploited by deep networks for image classification, focusing on single images; no effort has been spent in investigating whether these patterns are systematically related to precise semantic entities over multiple images belonging to a same class, thus failing to capture the very understanding of the image class the network has realized.
no code implementations • 18 Sep 2017 • Maedeh Aghaei, Mariella Dimiccoli, Cristian Canton Ferrer, Petia Radeva
This paper proposes a system for automatic social pattern characterization using a wearable photo-camera.
no code implementations • 5 Sep 2017 • Maedeh Aghaei, Mariella Dimiccoli, Cristian Canton Ferrer, Petia Radeva
Following the increasingly popular trend of social interaction analysis in egocentric vision, this manuscript presents a comprehensive study for automatic social pattern characterization of a wearable photo-camera user, by relying on the visual analysis of egocentric photo-streams.
no code implementations • 10 Apr 2017 • Estefania Talavera, Mariella Dimiccoli, Marc Bolaños, Maedeh Aghaei, Petia Radeva
In this paper, we present a new method for egocentric video temporal segmentation based on integrating a statistical mean change detector and agglomerative clustering(AC) within an energy-minimization framework.
no code implementations • 7 Apr 2017 • Maedeh Aghaei, Federico Parezzan, Mariella Dimiccoli, Petia Radeva, Marco Cristani
In our society and century, clothing is not anymore used only as a means for body protection.
no code implementations • 6 Mar 2017 • Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva
Given an unconstrained stream of images captured by a wearable photo-camera (2fpm), we propose an unsupervised bottom-up approach for automatic clustering appearing faces into the individual identities present in these data.
no code implementations • 13 May 2016 • Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva
Given a user wearing a low frame rate wearable camera during a day, this work aims to automatically detect the moments when the user gets engaged into a social interaction solely by reviewing the automatically captured photos by the worn camera.
1 code implementation • 22 Dec 2015 • Mariella Dimiccoli, Marc Bolaños, Estefania Talavera, Maedeh Aghaei, Stavri G. Nikolov, Petia Radeva
While wearable cameras are becoming increasingly popular, locating relevant information in large unstructured collections of egocentric images is still a tedious and time consuming processes.
no code implementations • 16 Jul 2015 • Maedeh Aghaei, Mariella Dimiccoli, Petia Radeva
In this paper, we propose a novel method to find correspondences of multiple faces in low temporal resolution egocentric videos acquired through a wearable camera.