55 citations · 87 across the 17 of their papers we have counts for
20 papers
Reasoning for Social Audio-Visual Question Answering: Where Do We Stand?
Koen P. de Vries, Xavier Alameda-Pineda, Estefanía Talavera +1
Training Multimodal Large Language Models for audio-visual social understanding is a crucial step toward embodied social intelligence. Chain-of-thought (CoT) reasoning has become t…
DADO: A Depth-Attention framework for Object Discovery
Federico Gonzalez, Estefania Talavera, Petia Radeva
Unsupervised object discovery, the task of identifying and localizing objects in images without human-annotated labels, remains a significant challenge and a growing focus in compu…
Crime scene classification from skeletal trajectory analysis in surveillance settings
Alina-Daniela Matei, Estefania Talavera, Maya Aghaei
Video anomaly analysis is a core task actively pursued in the field of computer vision, with applications extending to real-world crime detection in surveillance footage. In this w…
InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition
Andreea Glavan, Estefania Talavera
Indoor scene recognition is a growing field with great potential for behaviour understanding, robot localization, and elderly monitoring, among others. In this study, we approach t…
HR-Crime: Human-Related Anomaly Detection in Surveillance Videos
Kayleigh Boekhoudt, Alina Matei, Maya Aghaei +1
The automatic detection of anomalies captured by surveillance settings is essential for speeding the otherwise laborious approach. To date, UCF-Crime is the largest available datas…
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
David Morales, Estefania Talavera, Beatriz Remeseiro
The field of deep learning is evolving in different directions, with still the need for more efficient training strategies. In this work, we present a novel and robust training sch…
Eating Habits Discovery in Egocentric Photo-streams
Estefania Talavera, Andreea Glavan, Alina Matei +1
Eating habits are learned throughout the early stages of our lives. However, it is not easy to be aware of how our food-related routine affects our healthy living. In this work, we…
Behavioural pattern discovery from collections of egocentric photo-streams
Martin Menchon, Estefania Talavera, Jose M Massa +1
The automatic discovery of behaviour is of high importance when aiming to assess and improve the quality of life of people. Egocentric images offer a rich and objective description…
Deep learning for scene recognition from visual data: a survey
Alina Matei, Andreea Glavan, Estefania Talavera
The use of deep learning techniques has exploded during the last few years, resulting in a direct contribution to the field of artificial intelligence. This work aims to be a revie…
Towards Emotion Retrieval in Egocentric PhotoStream
Estefania Talavera, Petia Radeva, Nicolai Petkov
The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of ego…
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos
Estefania Talavera, Nicolai Petkov, Petia Radeva
Nowadays, there is an upsurge of interest in using lifelogging devices. Such devices generate huge amounts of image data; consequently, the need for automatic methods for analyzing…
Unsupervised routine discovery in egocentric photo-streams
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. In this work, we address the recognition…
Towards Egocentric Person Re-identification and Social Pattern Analysis
Estefania Talavera, Alexandre Cola, Nicolai Petkov +1
Wearable cameras capture a first-person view of the daily activities of the camera wearer, offering a visual diary of the user behaviour. Detection of the appearance of people the…
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams
Alejandro Cartas, Estefania Talavera, Petia Radeva +1
Event boundaries play a crucial role as a pre-processing step for detection, localization, and recognition tasks of human activities in videos. Typically, although their intrinsic…
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefania Talavera +3
First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. O…
Serious Games Application for Memory Training Using Egocentric Images
Gabriel Oliveira-Barra, Marc Bolaños, Estefania Talavera +3
Mild cognitive impairment is the early stage of several neurodegenerative diseases, such as Alzheimer's. In this work, we address the use of lifelogging as a tool to obtain picture…
R-Clustering for Egocentric Video Segmentation
Estefania Talavera, Mariella Dimiccoli, Marc Bolaños +2
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…
Sentiment Recognition in Egocentric Photostreams
Estefania Talavera, Nicola Strisciuglio, Nicolai Petkov +1
Lifelogging is a process of collecting rich source of information about daily life of people. In this paper, we introduce the problem of sentiment analysis in egocentric events foc…
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation
Mariella Dimiccoli, Marc Bolaños, Estefania Talavera +3
While wearable cameras are becoming increasingly popular, locating relevant information in large unstructured collections of egocentric images is still a tedious and time consuming…
Visual Summary of Egocentric Photostreams by Representative Keyframes
Marc Bolaños, Ricard Mestre, Estefanía Talavera +2
Building a visual summary from an egocentric photostream captured by a lifelogging wearable camera is of high interest for different applications (e.g. memory reinforcement). In th…