b'Petia Radeva'

research

∙ 09/06/2023

Continual Evidential Deep Learning for Out-of-Distribution Detection

Uncertainty-based deep learning models have attracted a great deal of in...

0 Eduardo Aguilar, et al. ∙

research

∙ 05/03/2023

Commentary on explainable artificial intelligence methods: SHAP and LIME

eXplainable artificial intelligence (XAI) methods have emerged to conver...

0 Ahmed Salih, et al. ∙

research

∙ 04/04/2023

Characterizing the contribution of dependent features in XAI methods

Explainable Artificial Intelligence (XAI) provides tools to help underst...

0 Ahmed Salih, et al. ∙

research

∙ 03/21/2023

Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields

Neural radiance fields (NeRF) appeared recently as a powerful tool to ge...

0 Ahmad AlMughrabi, et al. ∙

research

∙ 03/16/2023

All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction

Nearest neighbour based methods have proved to be one of the most succes...

0 Imanol G. Estepa, et al. ∙

research

∙ 03/16/2023

ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets

Fine-Grained Visual Recognition (FGVR) tackles the problem of distinguis...

0 Pablo Villacorta, et al. ∙

research

∙ 03/23/2022

Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation

Given the hyper-spectral imaging unique potentials in grasping the polym...

0 Guillem Martinez, et al. ∙

research

∙ 03/16/2022

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

Uncertainty estimation in deep learning has become a leading research fi...

0 Kaisar Kushibar, et al. ∙

research

∙ 04/23/2021

Modeling long-term interactions to enhance action recognition

In this paper, we propose a new approach to under-stand actions in egoce...

0 Alejandro Cartas, et al. ∙

research

∙ 09/16/2020

Eating Habits Discovery in Egocentric Photo-streams

Eating habits are learned throughout the early stages of our lives. Howe...

5 Estefania Talavera, et al. ∙

research

∙ 08/21/2020

Behavioural pattern discovery from collections of egocentric photo-streams

The automatic discovery of behaviour is of high importance when aiming t...

7 Martin Menchon, et al. ∙

research

∙ 06/03/2020

Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images

The outbreak of COVID-19 has shocked the entire world with its fairly ra...

22 Soumick Chatterjee, et al. ∙

research

∙ 10/25/2019

Automatic Reminiscence Therapy for Dementia

With people living longer than ever, the number of cases with dementia s...

14 Mariona Caros, et al. ∙

research

∙ 10/15/2019

Seeing and Hearing Egocentric Actions: How Much Can We Learn?

Our interaction with the world is an inherently multimodal experience. H...

8 Alejandro Cartas, et al. ∙

research

∙ 07/01/2019

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network

Skin lesion segmentation in dermoscopic images is a challenge due to the...

2 Md. Mostafa Kamal Sarker, et al. ∙

research

∙ 06/03/2019

How Much Does Audio Matter to Recognize Egocentric Object Interactions?

Sounds are an important source of information on our daily interactions ...

5 Alejandro Cartas, et al. ∙

research

∙ 05/12/2019

Social Relation Recognition in Egocentric Photostreams

This paper proposes an approach to automatically categorize the social i...

4 Emanuel Sanchez Aimar, et al. ∙

research

∙ 05/10/2019

Towards Emotion Retrieval in Egocentric PhotoStream

The availability and use of egocentric data are rapidly increasing due t...

2 Estefania Talavera, et al. ∙

research

∙ 05/10/2019

Hierarchical approach to classify food scenes in egocentric photo-streams

Recent studies have shown that the environment where people eat can affe...

12 Estefania Talavera, et al. ∙

research

∙ 05/10/2019

Towards Unsupervised Familiar Scene Recognition in Egocentric Videos

Nowadays, there is an upsurge of interest in using lifelogging devices. ...

6 Estefania Talavera, et al. ∙

research

∙ 05/10/2019

Unsupervised routine discovery in egocentric photo-streams

The routine of a person is defined by the occurrence of activities throu...

10 Estefania Talavera, et al. ∙

research

∙ 05/10/2019

Towards Egocentric Person Re-identification and Social Pattern Analysis

Wearable cameras capture a first-person view of the daily activities of ...

4 Estefania Talavera, et al. ∙

research

∙ 09/02/2018

On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams

Event boundaries play a crucial role as a pre-processing step for detect...

0 Alejandro Cartas, et al. ∙

research

∙ 08/29/2018

MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams

First-person (wearable) camera continually captures unscripted interacti...

2 Md. Mostafa Kamal Sarker, et al. ∙

research

∙ 05/30/2018

CuisineNet: Food Attributes Classification using Multi-scale Convolution Network

Diversity of food and its attributes represents the culinary habits of p...

0 Md. Mostafa Kamal Sarker, et al. ∙

research

∙ 05/25/2018

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks

Skin lesion segmentation (SLS) in dermoscopic images is a crucial task f...

0 Md. Mostafa Kamal Sarker, et al. ∙

research

∙ 03/15/2018

A picture is worth a thousand words but how to organize thousands of pictures?

We live in a society where the large majority of the population has a ca...

0 Stefan Lonn, et al. ∙

research

∙ 11/14/2017

Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants

The increase in awareness of people towards their nutritional habits has...

0 Eduardo Aguilar, et al. ∙

research

∙ 10/11/2017

Recognizing Daily Activities from Egocentric Photo-Streams

Wearable cameras can gather large amounts of image data that provide ric...

0 Alejandro Cartas, et al. ∙

research

∙ 09/18/2017

Social Style Characterization from Egocentric Photo-streams

This paper proposes a system for automatic social pattern characterizati...

0 Maedeh Aghaei, et al. ∙

research

∙ 09/14/2017

Food Recognition using Fusion of Classifiers based on CNNs

With the arrival of convolutional neural networks, the complex problem o...

0 Eduardo Aguilar, et al. ∙

research

∙ 09/14/2017

Exploring Food Detection using CNNs

One of the most common critical factors directly related to the cause of...

0 Eduardo Aguilar, et al. ∙

research

∙ 09/08/2017

Detecting Hands in Egocentric Videos: Towards Action Recognition

Recently, there has been a growing interest in analyzing human daily act...

0 Alejandro Cartas, et al. ∙

research

∙ 09/05/2017

Towards social pattern characterization in egocentric photo-streams

Following the increasingly popular trend of social interaction analysis ...

0 Maedeh Aghaei, et al. ∙

research

∙ 08/25/2017

Batch-Based Activity Recognition from Egocentric Photo-Streams

Activity recognition from long unstructured egocentric photo-streams has...

0 Alejandro Cartas, et al. ∙

research

∙ 07/27/2017

Food Ingredients Recognition through Multi-label Learning

Automatically constructing a food diary that tracks the ingredients cons...

0 Marc Bolaños, et al. ∙

research

∙ 04/10/2017

R-Clustering for Egocentric Video Segmentation

In this paper, we present a new method for egocentric video temporal seg...

0 Estefania Talavera, et al. ∙

research

∙ 04/07/2017

Clothing and People - A Social Signal Processing Perspective

In our society and century, clothing is not anymore used only as a means...

0 Maedeh Aghaei, et al. ∙

research

∙ 04/07/2017

Egocentric Video Description based on Temporally-Linked Sequences

Egocentric vision consists in acquiring images along the day from a firs...

0 Marc Bolaños, et al. ∙

research

∙ 03/29/2017

Sentiment Recognition in Egocentric Photostreams

Lifelogging is a process of collecting rich source of information about ...

0 Estefania Talavera, et al. ∙

research

∙ 03/06/2017

All the people around me: face discovery in egocentric photo-streams

Given an unconstrained stream of images captured by a wearable photo-cam...

0 Maedeh Aghaei, et al. ∙

research

∙ 12/12/2016

VIBIKNet: Visual Bidirectional Kernelized Network for Visual Question Answering

In this paper, we address the problem of visual question answering by pr...

0 Marc Bolaños, et al. ∙

research

∙ 07/29/2016

Can a CNN Recognize Catalan Diet?

Nowadays, we can find several diseases related to the unhealthy diet hab...

0 Pedro Herruzo, et al. ∙

research

∙ 07/26/2016

Generic Feature Learning for Wireless Capsule Endoscopy Analysis

The interpretation and analysis of the wireless capsule endoscopy record...

0 Santi Seguí, et al. ∙

research

∙ 04/27/2016

Simultaneous Food Localization and Recognition

The development of automatic nutrition diaries, which would allow to kee...

0 Marc Bolaños, et al. ∙

research

∙ 04/12/2016

Video Description using Bidirectional Recurrent Neural Networks

Although traditionally used in the machine translation field, the encode...

0 Álvaro Peris, et al. ∙

research

∙ 12/22/2015

SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation

While wearable cameras are becoming increasingly popular, locating relev...

0 Mariella Dimiccoli, et al. ∙

research

∙ 07/22/2015

Towards Storytelling from Visual Lifelogging: An Overview

Visual lifelogging consists of acquiring images that capture the daily e...

0 Marc Bolaños, et al. ∙

research

∙ 07/16/2015

Multi-Face Tracking by Extended Bag-of-Tracklets in Egocentric Videos

Wearable cameras offer a hands-free way to record egocentric images of d...

0 Maedeh Aghaei, et al. ∙

research

∙ 05/05/2015

Visual Summary of Egocentric Photostreams by Representative Keyframes

Building a visual summary from an egocentric photostream captured by a l...

0 Marc Bolaños, et al. ∙

Petia Radeva

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