1 |
Interpersonal Synchrony: From Social Perception to Social Interaction
|
|
|
|
In: Social Signal Processing ; https://hal-pasteur.archives-ouvertes.fr/pasteur-02070422 ; Edited by Judee K. Burgoon, University of Arizona Nadia Magnenat-Thalmann, Université de Genève Maja Pantic, Imperial College London Alessandro Vinciarelli, University of Glasgow. Social Signal Processing, Cambridge University Press, pp.202-212, 2017, Social Signal Processing, 9781316676202. ⟨10.1017/9781316676202.015⟩ ; https://www.cambridge.org/core/books/social-signal-processing/interpersonal-synchrony-from-social-perception-to-social-interaction/50D491B6C3AB7767858C80CF612C28A5 (2017)
|
|
BASE
|
|
Show details
|
|
2 |
Fera 2015 - second facial expression recognition and analysis challenge
|
|
|
|
In: http://www.cs.nott.ac.uk/%7Epszmv/Documents/FERA2015.pdf (2015)
|
|
Abstract:
Abstract-Despite efforts towards evaluation standards in facial expression analysis (e.g. FERA 2011), there is a need for up-to-date standardised evaluation procedures, focusing in particular on current challenges in the field. One of the challenges that is actively being addressed is the automatic estimation of expression intensities. To continue to provide a standardisation platform and to help the field progress beyond its current limitations, the FG 2015 Facial Expression Recognition and Analysis challenge (FERA 2015) will challenge participants to estimate FACS Action Unit (AU) intensity as well as AU occurrence on a common benchmark dataset with reliable manual annotations. Evaluation will be done using a clear and well-defined protocol. In this paper we present the second such challenge in automatic recognition of facial expressions, to be held in conjunction with the 11 IEEE conference on Face and Gesture Recognition, May 2015, in Ljubljana, Slovenia. Three sub-challenges are defined: the detection of AU occurrence, the estimation of AU intensity for pre-segmented data, and fully automatic AU intensity estimation. In this work we outline the evaluation protocol, the data used, and the results of a baseline method for the three sub-challenges.
|
|
URL: http://www.cs.nott.ac.uk/%7Epszmv/Documents/FERA2015.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1079.1121
|
|
BASE
|
|
Hide details
|
|
3 |
M.: A semi-automatic methodology for facial landmark annotation. In
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas_cvpr_2013_amfg_w.pdf (2013)
|
|
BASE
|
|
Show details
|
|
4 |
The first facial expression recognition and analysis challenge
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/pdf17.pdf (2011)
|
|
BASE
|
|
Show details
|
|
5 |
Audiovisual discrimination between speech and laughter: Why and when visual information might help
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/petridispantic_2011_tmm.pdf (2011)
|
|
BASE
|
|
Show details
|
|
6 |
Classifying laughter and speech using audio-visual feature prediction
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/ICASSP-2010-PetridisEtAl-CAMERA.pdf (2010)
|
|
BASE
|
|
Show details
|
|
7 |
Static vs. Dynamic Modeling of Human Nonverbal Behavior from Multiple Cues and Modalities
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/ICMI-2009-PetridisEtAl-CAMERA.pdf (2009)
|
|
BASE
|
|
Show details
|
|
8 |
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/PAMI-AVemotionSurvey-CAMERA.pdf (2009)
|
|
BASE
|
|
Show details
|
|
10 |
Social Signal Processing: Survey of an Emerging Domain
|
|
|
|
In: http://www.idiap.ch/~vincia/papers/sspsurvey.pdf (2008)
|
|
BASE
|
|
Show details
|
|
11 |
Social Signal Processing: State-of-the-art and future perspectives of an emerging domain
|
|
|
|
In: http://www.idiap.ch/~vincia/papers/bravetopic.pdf (2008)
|
|
BASE
|
|
Show details
|
|
12 |
Social Signal Processing: State-of-the-art and future perspectives of an emerging domain
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/ACM-MM-2008-VinciarelliEtAl-CAMERA.pdf (2008)
|
|
BASE
|
|
Show details
|
|
13 |
Social Signal Processing: Survey of an Emerging Domain
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/IVCJ-SSPsurvey-FINAL.pdf (2008)
|
|
BASE
|
|
Show details
|
|
14 |
Fusion of audio and visual cues for laughter detection
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/CIVR-2008-PetridisPantic-CAMERA.pdf (2008)
|
|
BASE
|
|
Show details
|
|
15 |
Facial Action Recognition for Facial Expression Analysis from Static Face Images
|
|
|
|
In: http://www.kbs.twi.tudelft.nl/People/Staff/M.Pantic/SMCB-2004-final.pdf (2004)
|
|
BASE
|
|
Show details
|
|
16 |
20 Machine Analysis of Facial Expressions 1. Human Face and Its Expression
|
|
|
|
In: http://s.i-techonline.com/Book/Face-Recognition/ISBN978-3-902613-03-5-fr20.pdf
|
|
BASE
|
|
Show details
|
|
17 |
VISUAL-ONLY DISCRIMINATION BETWEEN NATIVE AND NON-NATIVE SPEECH
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/georgakisetal_visualonlynativevsnonnative.pdf
|
|
BASE
|
|
Show details
|
|
18 |
20 Machine Analysis of Facial Expressions 1. Human Face and Its Expression
|
|
|
|
In: http://mplab.ucsd.edu/~marni/pubs/panticbartlett_2007.pdf
|
|
BASE
|
|
Show details
|
|
19 |
20 Machine Analysis of Facial Expressions 1. Human Face and Its Expression
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/PanticBartlett-Chapter-Proof2.pdf
|
|
BASE
|
|
Show details
|
|
20 |
Social Signal Processing: The Research Agenda
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/looking@people-panticetal-revision-final.pdf
|
|
BASE
|
|
Show details
|
|
|
|