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20212025
most citedAnalyzing the contribution of different passively collected data to predict Stress and Depression

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cs.CV2025

Experimenting with Affective Computing Models in Video Interviews with Spanish-speaking Older Adults

Josep Lopez Camunas, Cristina Bustos, Yanjun Zhu +2

Understanding emotional signals in older adults is crucial for designing virtual assistants that support their well-being. However, existing affective computing models often face s…

cs.CV2023

On the use of Vision-Language models for Visual Sentiment Analysis: a study on CLIP

Cristina Bustos, Carles Civit, Brian Du +2

This work presents a study on how to exploit the CLIP embedding space to perform Visual Sentiment Analysis. We experiment with two architectures built on top of the CLIP embedding…

cs.CV2022

Predicting the impact of urban change in pedestrian and road safety

Cristina Bustos, Daniel Rhoads, Agata Lapedriza +2

Increased interaction between and among pedestrians and vehicles in the crowded urban environments of today gives rise to a negative side-effect: a growth in traffic accidents, wit…

cs.CV2021

Explainable, automated urban interventions to improve pedestrian and vehicle safety

Cristina Bustos, Daniel Rhoads, Albert Sole-Ribalta +4

At the moment, urban mobility research and governmental initiatives are mostly focused on motor-related issues, e.g. the problems of congestion and pollution. And yet, we can not d…

cs.CV2021

Predicting Driver Self-Reported Stress by Analyzing the Road Scene

Cristina Bustos, Neska Elhaouij, Albert Sole-Ribalta +3

Several studies have shown the relevance of biosignals in driver stress recognition. In this work, we examine something important that has been less frequently explored: We develop…