Publication

Multimedia content analysis for emotional characterization of music video clips

Publications associées (32)

El paisaje como imagen afectiva

Lucia-Nieves Garcia de Jalon Oyarzun

On his way to a political philosophy founded not on how we would like things to be, but on how they are, the philosopher Spinoza had to take a step back and develop an ethics that presented affects as properties of bodies. From there, and in order to deter ...
Abada2023

Neural Basis of Internal Attention in Adults with Pure and Comorbid ADHD

Farnaz Delavari, Halima Rafi

Objective: To examine whether putatively atypical neuronal activity during internal attention in ADHD yields insights into processes underlying emotion dysregulation. Methods: We used a word processing paradigm to assess neural activations in adults with A ...
2023

Towards Empathetic Open-Domain Chatbots

Yubo Xie

The research community of dialog generation has been interested in incorporating emotional information into the design of open-domain dialog systems ever since neural networks (sequence-to-sequence models in particular) were adopted for modeling dialogs. T ...
EPFL2022

Robot Mirroring: Promoting Empathy with an Artificial Agent by Reflecting the User's Physiological Affective States

Diego Felipe Paez Granados

Self-tracking aims to increase awareness, decrease undesired behaviors, and ultimately lead towards a healthier lifestyle. However, inappropriate communication of self-tracking results might cause the opposite effect. Subtle self-tracking feedback is an al ...
IEEE2020

AniSAM & AniAvatar – Animated Visualizations of Affective States

Andreas Sonderegger

Tools that provide visual feedback about emotions to the user in the form of an avatar or an emoticon have become increasingly important. While a great deal of effort has already been put into the reliable and accurate automatic detection of emotions, only ...
ACM2016

Individual and Inter-related Action Unit Detection in Videos for Affect Recognition

Anil Yuce

The human face has evolved to become the most important source of non-verbal information that conveys our affective, cognitive and mental state to others. Apart from human to human communication facial expressions have also become an indispensable componen ...
EPFL2016

Puissances de la dérivée. Égogéographies d’aujourd’hui

Jacques Lévy

Twenty years after the publication of his book, Égogéographies, the author makes a balance sheet of the approach he developed in the book. Exploring a researcher’s psyche first of all implies the necessity of putting apart any social epistemology that refu ...
2015

MEM0R1ES: Memory-based Information Systems

Michele Catasta

The advent of the Web reshaped the way in which humans memorize information, arguably unlike any other technological advance of the last decades. Rather than remembering the information itself, people are primed to find the needed information through Web s ...
EPFL2015

What Your Face Vlogs About: Expressions of Emotion and Big-Five Traits Impressions in YouTube

Daniel Gatica-Perez, Joan Isaac Biel Tres

Social video sites where people share their opinions and feelings are increasing in popularity. The face is known to reveal important aspects of human psychological traits, so the understanding of how facial expressions relate to personal constructs is a r ...
2015

Social-Aware Replication in Geo-Diverse Online Systems

Kévin Clément Huguenin

Distributing long-tail content is a difficult task due to the low amortization of bandwidth transfer costs as such content has limited number of views. Two recent trends are making this problem harder. First, the increasing popularity of user-generated con ...
Institute of Electrical and Electronics Engineers2015

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.