Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Ognjen Rudovic"'
Publikováno v:
Frontiers in Robotics and AI, Vol 4 (2017)
During occupational therapy for children with autism, it is often necessary to elicit and maintain engagement for the children to benefit from the session. Recently, social robots have been used for this; however, existing robots lack the ability to
Externí odkaz:
https://doaj.org/article/6931d09707c547fbb251b4e550d877b2
Publikováno v:
IEEE Transactions on Affective Computing
Joint modeling of the intensity of multiple facial action units (AUs) from face images is challenging due to the large number of AUs (30+) and their intensity levels (6). This is in part due to the lack of suitable models that can efficiently handle
Publikováno v:
IEEE Transactions on Affective Computing. 12:551-552
The papers in this special section are aimed at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, and affective computing, challenging and expanding current research on interpretation and estimat
Autor:
Ognjen Rudovic
Publikováno v:
MuSe @ ACM Multimedia
Recent developments in AI and Machine Learning (ML) are revolutionizing traditional technologies for health and education by enabling more intelligent therapeutic and learning tools that can automatically perceive and predict user's behavior (e.g. fr
Publikováno v:
IEEE transactions on image processing, 26(10):7961231, 4697-4711. IEEE
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Most of existing models for facial behavior analysis rely on generic classifiers, which fail to generalize well to previously unseen data. This is because of inherent differences in source (training) and target (test) data, mainly caused by variation
Publikováno v:
2019 International Conference on Multimodal Interaction
2019 International Conference on Multimodal Interaction on -ICMI '19
2019 International Conference on Multimodal Interaction on-ICMI 19
ICMI
2019 International Conference on Multimodal Interaction on -ICMI '19
2019 International Conference on Multimodal Interaction on-ICMI 19
ICMI
Human behavior expression and experience are inherently multimodal, and characterized by vast individual and contextual heterogeneity. To achieve meaningful human-computer and human-robot interactions, multi-modal models of the user’s states (e.g.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89d445a266085c6177fa09655d2f4d8e
http://arxiv.org/abs/1906.03098
http://arxiv.org/abs/1906.03098
Autor:
Ognjen Rudovic, John Busche, Björn Schuller, Cynthia Breazeal, Hae Won Park, Rosalind W. Picard
Publikováno v:
CVPR Workshops
MIT web domain
MIT web domain
© 2019 IEEE. Perceiving users' engagement accurately is important for technologies that need to respond to learners in a natural and intelligent way. In this paper, we address the problem of automated estimation of engagement from videos of child-ro
Autor:
Behnam Gholami, Vladimir Pavlovic, Konstantinos Bousmalis, Pritish Kumar Sahu, Ognjen Rudovic
Unsupervised domain adaptation (uDA) models focus on pairwise adaptation settings where there is a single, labeled, source and a single target domain. However, in many real-world settings one seeks to adapt to multiple, but somewhat similar, target d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8e9f81497dd477a67fe45f46f4bc8f
http://arxiv.org/abs/1810.11547
http://arxiv.org/abs/1810.11547
Publikováno v:
The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6dbd3e09223868f086e3109dcf6a32e
https://doi.org/10.1145/3107990.3107995
https://doi.org/10.1145/3107990.3107995
Publikováno v:
IEEE transactions on image processing, 27(8), 3969-3982. IEEE
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
We propose a Multi-Instance-Learning (MIL) approach for weakly-supervised learning problems, where a training set is formed by bags (sets of feature vectors or instances) and only labels at bag-level are provided. Specifically, we consider the Multi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::836f1f9daf58b88f7e87b61877063db3
https://research.utwente.nl/en/publications/004aa629-7358-483d-acd0-2a4a3c219077
https://research.utwente.nl/en/publications/004aa629-7358-483d-acd0-2a4a3c219077