no code implementations • 4 Jul 2022 • Alina-Daniela Matei, Estefania Talavera, Maya Aghaei
Next, given the availability of the trajectory-level ground truth, we introduce a trajectory-based crime classification framework.
1 code implementation • 23 Dec 2021 • Andreea Glavan, Estefania Talavera
Furthermore, we highlight the potential of our approach by benchmarking on a YouTube-8M subset of indoor scenes as well, where it achieves 74% accuracy and 0. 74 F1-Score.
1 code implementation • 28 Dec 2020 • David Morales, Estefania Talavera, Beatriz Remeseiro
Unlike the attention mechanisms that focus on the relevant parts of images, we aim to improve the robustness of the model by making it pay attention to other regions as well.
no code implementations • 16 Sep 2020 • Estefania Talavera, Andreea Glavan, Alina Matei, Petia Radeva
Eating habits are learned throughout the early stages of our lives.
no code implementations • 21 Aug 2020 • Martin Menchon, Estefania Talavera, Jose M Massa, Petia Radeva
Based on the similarity among the time-frames that describe the collected days for a user, we propose a new unsupervised greedy method to discover the behavioural pattern set based on a novel semantic clustering approach.
no code implementations • 3 Jul 2020 • Alina Matei, Andreea Glavan, Estefania Talavera
We first give an overview of available datasets for image and video scene recognition.
no code implementations • 10 May 2019 • Estefania Talavera, Petia Radeva, Nicolai Petkov
The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras.
no code implementations • 10 May 2019 • Estefania Talavera, Alexandre Cola, Nicolai Petkov, Petia Radeva
We propose a model that enables us to evaluate and visualize social traits obtained by analysing social interactions appearance within egocentric photostreams.
no code implementations • 10 May 2019 • Estefania Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
Recent studies have shown that the environment where people eat can affect their nutritional behaviour.
no code implementations • 10 May 2019 • Estefania Talavera, Nicolai Petkov, Petia Radeva
Nowadays, there is an upsurge of interest in using lifelogging devices.
no code implementations • 10 May 2019 • Estefania Talavera, Nicolai Petkov, Petia Radeva
The routine of a person is defined by the occurrence of activities throughout different days, and can directly affect the person's health.
no code implementations • 2 Sep 2018 • Alejandro Cartas, Estefania Talavera, Petia Radeva, Mariella Dimiccoli
Event boundaries play a crucial role as a pre-processing step for detection, localization, and recognition tasks of human activities in videos.
no code implementations • 29 Aug 2018 • Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefania Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
This model is based on a deep end-to-end model for automatic food places recognition by analyzing egocentric photo-streams.
no code implementations • 27 Jul 2017 • Gabriel Oliveira-Barra, Marc Bolaños, Estefania Talavera, Adrián Dueñas, Olga Gelonch, Maite Garolera
Mild cognitive impairment is the early stage of several neurodegenerative diseases, such as Alzheimer's.
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 • 29 Mar 2017 • Estefania Talavera, Nicola Strisciuglio, Nicolai Petkov, Petia Radeva
Lifelogging is a process of collecting rich source of information about daily life of people.
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.