Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Agata Lapedriza"'
Autor:
Davoud Omarzadeh, Adonis González-Godoy, Cristina Bustos, Kevin Martín-Fernández, Carles Scotto, César Sánchez, Agata Lapedriza, Javier Borge-Holthoefer
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1342 (2024)
Following European directives, asbestos–cement corrugated roofing tiles must be eliminated by 2025. Therefore, identifying asbestos–cement rooftops is the first necessary step to proceed with their removal. Unfortunately, asbestos detection is a
Externí odkaz:
https://doaj.org/article/a2c4b94017434da89bc174cdb9143b6b
Publikováno v:
Sensors, Vol 22, Iss 14, p 5245 (2022)
In supervised learning, the generalization capabilities of trained models are based on the available annotations. Usually, multiple annotators are asked to annotate the dataset samples and, then, the common practice is to aggregate the different anno
Externí odkaz:
https://doaj.org/article/b02a457075ad41fcbd96848643cba4c6
Publikováno v:
PLoS ONE, Vol 3, Iss 7, p e2590 (2008)
Psychophysical studies suggest that humans preferentially use a narrow band of low spatial frequencies for face recognition. Here we asked whether artificial face recognition systems have an improved recognition performance at the same spatial freque
Externí odkaz:
https://doaj.org/article/ad268cfa2e4d4da98efe76d70bd94eb1
Publikováno v:
Sensors; Volume 22; Issue 14; Pages: 5245
In supervised learning, the generalization capabilities of trained models are based on the available annotations. Usually, multiple annotators are asked to annotate the dataset samples and, then, the common practice is to aggregate the different anno
Publikováno v:
Proc Natl Acad Sci U S A
Deep neural networks excel at finding hierarchical representations that solve complex tasks over large data sets. How can we humans understand these learned representations? In this work, we present network dissection, an analytic framework to system
Autor:
Ethan Weber, Dim P. Papadopoulos, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba
Natural disasters, such as floods, tornadoes, or wildfires, are increasingly pervasive as the Earth undergoes global warming. It is difficult to predict when and where an incident will occur, so timely emergency response is critical to saving the liv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5397286e5f2d259ebfde725fce6e712
Autor:
Albert Solé-Ribalta, Rosalind W. Picard, Neska Elhaouij, Cristina Bustos, Javier Borge-Holthoefer, Agata Lapedriza
Publikováno v:
ACII
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 methods to test if the visual driving scene can be used to estimate a
Publikováno v:
ACII
Understanding the emotional impact of movies has become important for affective movie analysis, ranking, and indexing. Methods for recognizing evoked emotions are usually trained on human annotated data. Concretely, viewers watch video clips and have
Publikováno v:
WACV (Workshops)
Junior, J C S J, Lapedriza, A, Palmero, C, Baro, X & Escalera, S 2021, Person Perception Biases Exposed : Revisiting the First Impressions Dataset . in Proceedings-2021 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2021 ., 9407597, IEEE Signal Processing Society, Proceedings-2021 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2021, pp. 13-21, 2021 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2021, Virtual, Waikola, United States, 05/01/2021 . https://doi.org/10.1109/WACVW52041.2021.00006
Junior, J C S J, Lapedriza, A, Palmero, C, Baro, X & Escalera, S 2021, Person Perception Biases Exposed : Revisiting the First Impressions Dataset . in Proceedings-2021 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2021 ., 9407597, IEEE Signal Processing Society, Proceedings-2021 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2021, pp. 13-21, 2021 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2021, Virtual, Waikola, United States, 05/01/2021 . https://doi.org/10.1109/WACVW52041.2021.00006
This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the original pairwise annotations, and reveal existing person perception bias
Autor:
Noah Jones, Natasha Jaques, Craig Ferguson, Asma Ghandeharioun, Shixiang Shane Gu, Judy Hanwen Shen, Agata Lapedriza, Rosalind W. Picard
Publikováno v:
EMNLP (1)
How can we train a dialog model to produce better conversations by learning from human feedback, without the risk of humans teaching it harmful chat behaviors? We start by hosting models online, and gather human feedback from real-time, open-ended co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c16c0690e9c7011b5bf80749d791444
http://arxiv.org/abs/2010.05848
http://arxiv.org/abs/2010.05848