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20142026
most citedSLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks

116 citations · 477 across the 58 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.CV2019

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

Alejandro Cartas, Jordi Luque, Petia Radeva +2

Our interaction with the world is an inherently multimodal experience. However, the understanding of human-to-object interactions has historically been addressed focusing on a sing…

cs.MM2019

Automatic Reminiscence Therapy for Dementia

Mariona Caros, Maite Garolera, Petia Radeva +1

With people living longer than ever, the number of cases with dementia such as Alzheimer's disease increases steadily. It affects more than 46 million people worldwide, and it is e…

cs.CV2019★ 2 cited

How Much Does Audio Matter to Recognize Egocentric Object Interactions?

Alejandro Cartas, Jordi Luque, Petia Radeva +2

Sounds are an important source of information on our daily interactions with objects. For instance, a significant amount of people can discern the temperature of water that it is b…

cs.CV2019

Social Relation Recognition in Egocentric Photostreams

Emanuel Sanchez Aimar, Petia Radeva, Mariella Dimiccoli

This paper proposes an approach to automatically categorize the social interactions of a user wearing a photo-camera 2fpm, by relying solely on what the camera is seeing. The probl…

cs.CV2019

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…

cs.CV2019★ 2 cited

Hierarchical approach to classify food scenes in egocentric photo-streams

Estefania Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker +3

Recent studies have shown that the environment where people eat can affect their nutritional behaviour. In this work, we provide automatic tools for a personalised analysis of a pe…