Comunicació presentada a: IEEE International Conference on Computer Vision (ICCV 2015) celebrat a Santiago, Xile, de l'11 al 18 de desembre de 2015.Limited annotated training data is a challenging problem in Action Unit recognition. In this paper, we investigate how the use of large databases labelled according to the 6 universal facial expressions can increase the generalization ability of Action Unit classifiers. For this purpose, we propose a novel learning framework: Hidden-Task Learning. HTL aims to learn a set of Hidden-Tasks (Action Units) for which samples are not available but, in contrast, training data is easier to obtain from a set of related Visible- Tasks (Facial Expressions). To that end, HTL is able to exploit prior knowledg...
Automatic detection of Facial Action Units (AUs) is crucial for facial analysis systems. Due to the ...
Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit ...
Abstract. Facial Action Coding System consists of 44 action units (AUs) and more than 7000 combinati...
Comunicació presentada a: IEEE International Conference on Computer Vision (ICCV 2015) celebrat a Sa...
Limited annotated training data is a challenging prob-lem in Action Unit recognition. In this paper,...
In this article we explore the problem of constructing person-specific models for the detection of f...
Current works on facial action unit (AU) recognition typically require fully AU-labeled training sam...
In this paper, we investigate to what extent modern computer vision and machine learning techniques ...
Facial action detection and facial expression recognition are two closely intertwined problems in be...
This paper describes a novel graphical model approach to seamlessly coupling and simultaneously anal...
Abstract Encoding facial expressions via action units (AUs) has been found to be effective in resol...
The face is one of the most powerful channel of nonverbal communication. The most commonly used taxo...
The face is one of the most powerful channel of non-verbal communication. The most commonly used tax...
Training facial emotion recognition models requires large sets of data and costly annotation process...
Automatic facial behavior analysis has a long history of studies in the intersection of computer vis...
Automatic detection of Facial Action Units (AUs) is crucial for facial analysis systems. Due to the ...
Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit ...
Abstract. Facial Action Coding System consists of 44 action units (AUs) and more than 7000 combinati...
Comunicació presentada a: IEEE International Conference on Computer Vision (ICCV 2015) celebrat a Sa...
Limited annotated training data is a challenging prob-lem in Action Unit recognition. In this paper,...
In this article we explore the problem of constructing person-specific models for the detection of f...
Current works on facial action unit (AU) recognition typically require fully AU-labeled training sam...
In this paper, we investigate to what extent modern computer vision and machine learning techniques ...
Facial action detection and facial expression recognition are two closely intertwined problems in be...
This paper describes a novel graphical model approach to seamlessly coupling and simultaneously anal...
Abstract Encoding facial expressions via action units (AUs) has been found to be effective in resol...
The face is one of the most powerful channel of nonverbal communication. The most commonly used taxo...
The face is one of the most powerful channel of non-verbal communication. The most commonly used tax...
Training facial emotion recognition models requires large sets of data and costly annotation process...
Automatic facial behavior analysis has a long history of studies in the intersection of computer vis...
Automatic detection of Facial Action Units (AUs) is crucial for facial analysis systems. Due to the ...
Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit ...
Abstract. Facial Action Coding System consists of 44 action units (AUs) and more than 7000 combinati...