Michel F. Valstar

发表

Finding information about mental health in microblogging platforms: a case study of depression

Max L. Wilson, Susan Ali, Michel F. Valstar, 2014, IIiX.

A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking

Tony P. Pridmore, Michel F. Valstar, Muhammad Haris Khan, 2014, 2014 22nd International Conference on Pattern Recognition.

AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2013, AVEC@ACM Multimedia.

The SEMAINE corpus of emotionally coloured character interactions

Maja Pantic, Roddy Cowie, Michel F. Valstar, 2010, 2010 IEEE International Conference on Multimedia and Expo.

Summary for AVEC 2018: Bipolar Disorder and Cross-Cultural Affect Recognition

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2018, ACM Multimedia.

The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset

Maja Pantic, Michel F. Valstar, Aaron C. Elkins, 2016, IEEE Transactions on Affective Computing.

Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics

Maja Pantic, Michel F. Valstar, M. Pantic, 2007, ICCV-HCI.

Computational Models of Emotion, Personality, and Social Relationships for Interactions in Games: (Extended Abstract)

Michel F. Valstar, Peter Blanchfield, Andry Chowanda, 2016, AAMAS.

eXplainable Cooperative Machine Learning with NOVA

Björn Schuller, Johannes Wagner, Michel F. Valstar, 2020, KI - Künstliche Intelligenz.

Facial Action Recognition using sparse appearance descriptors and their pyramid representations

Maja Pantic, Michel F. Valstar, Bihan Jiang, 2011, ICCSW.

Objective Methods for Reliable Detection of Concealed Depression

John Crowe, Michel F. Valstar, Cynthia Solomon, 2015, Front. ICT.

Fully Automatic Recognition of the Temporal Phases of Facial Actions

Maja Pantic, Michel F. Valstar, M. Pantic, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

ERiSA: Building Emotionally Realistic Social Game-Agents Companions

Michel F. Valstar, Peter Blanchfield, Andry Chowanda, 2014, IVA.

Automatic Analysis of Facial Actions: A Survey

Maja Pantic, Michel F. Valstar, Bihan Jiang, 2019, IEEE Transactions on Affective Computing.

EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions

Michel F. Valstar, Nadia Bianchi-Berthouze, Nicholas Lane, 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

Deep learning the dynamic appearance and shape of facial action units

Michel F. Valstar, Shashank Jaiswal, M. Valstar, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

AVEC 2015: The 5th International Audio/Visual Emotion Challenge and Workshop

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2015, ACM Multimedia.

A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling

Maja Pantic, Michel F. Valstar, Bihan Jiang, 2014, IEEE Transactions on Cybernetics.

Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography

Daniel Rueckert, Alexander Hammers, Michel F. Valstar, 2008, MICCAI.

FERA 2015 - second Facial Expression Recognition and Analysis challenge

Lijun Yin, Maja Pantic, Michel F. Valstar, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

The Detection of Concept Frames Using Clustering Multi-instance Learning

Maja Pantic, Michel F. Valstar, David M. J. Tax, 2010, 2010 20th International Conference on Pattern Recognition.

AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data

Fabien Ringeval, Erik Marchi, Björn W. Schuller, 2015, AVEC@ACM Multimedia.

Cost-Effective Solution to Synchronized Audio-Visual Capture Using Multiple Sensors

Maja Pantic, Michel F. Valstar, Jeroen Lichtenauer, 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

Facial Action Detection Using Block-Based Pyramid Appearance Descriptors

Maja Pantic, Michel F. Valstar, Bihan Jiang, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

A Multimodal Database for Mimicry Analysis

Anton Nijholt, Maja Pantic, Michel F. Valstar, 2011, ACII.

Guided Unsupervised Learning of Mode Specific Models for Facial Point Detection in the Wild

Michel F. Valstar, Shashank Jaiswal, Timur R. Almaev, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Postnatal gestational age estimation of newborns using Small Sample Deep Learning☆

Michel F. Valstar, Mercedes Torres Torres, Caroline Henry, 2019, Image Vis. Comput..

The NoXi database: multimodal recordings of mediated novice-expert interactions

Catherine Pelachaud, Tobias Baur, Johannes Wagner, 2017, ICMI.

The First Audio/Visual Emotion Challenge and Workshop - An Introduction

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2011, ACII.

Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data

Maja Pantic, Ioannis Patras, Michel F. Valstar, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2017, AVEC@ACM Multimedia.

Joint Action Unit localisation and intensity estimation through heatmap regression

Michel F. Valstar, Georgios Tzimiropoulos, Enrique Sánchez-Lozano, 2018, BMVC.

Fully Automatic Facial Action Unit Detection and Temporal Analysis

Maja Pantic, Michel F. Valstar, M. Pantic, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Cumulative attributes for pain intensity estimation

Michel F. Valstar, Joy O. Egede, 2017, ICMI.

Learning to combine local models for facial Action Unit detection

Michel F. Valstar, Brais Martínez, Shashank Jaiswal, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Biologically vs. Logic Inspired Encoding of Facial Actions and Emotions in Video

Maja Pantic, Michel F. Valstar, M. Pantic, 2006, 2006 IEEE International Conference on Multimedia and Expo.

AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2014, AVEC '14.

Motion history for facial action detection in video

Maja Pantic, Ioannis Patras, Michel F. Valstar, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

String-based audiovisual fusion of behavioural events for the assessment of dimensional affect

Björn W. Schuller, Hatice Gunes, Maja Pantic, 2011, Face and Gesture 2011.

A demonstration of audiovisual sensitive artificial listeners

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

Cost-effective solution to synchronised audio-visual data capture using multiple sensors

Maja Pantic, Michel F. Valstar, Jeroen Lichtenauer, 2011, Image Vis. Comput..

Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation

Michel F. Valstar, Brais Martínez, Joy Egede, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Small Sample Deep Learning for Newborn Gestational Age Estimation

Michel F. Valstar, Mercedes Torres, Caroline Henry, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING

Maja Pantic, Marc Schröder, Roddy Cowie, 2022 .

Predicting Folds in Poker Using Action Unit Detectors and Decision Trees

Jonathan Gratch, Michel F. Valstar, Doratha Vinkemeier, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Facial point detection using boosted regression and graph models

Maja Pantic, Xavier Binefa, Michel F. Valstar, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Emotionally aware automated portrait painting demonstration

Simon Colton, Maja Pantic, Michel F. Valstar, 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

Local Evidence Aggregation for Regression-Based Facial Point Detection

Maja Pantic, Xavier Binefa, Michel F. Valstar, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data

Michel F. Valstar, Shashank Jaiswal, Alinda Gillott, 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

A trigger-substrate model for smiling during an automated formative quiz: engagement is the substrate, not frustration

Michel F. Valstar, Harry J. Witchel, Carina E. I. Westling, 2018, ECCE.

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Mohammad Soleymani, Fabien Ringeval, Björn W. Schuller, 2019, AVEC@MM.

Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification

LinLin Shen, Björn W. Schuller, Michel F. Valstar, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Action unit detection using sparse appearance descriptors in space-time video volumes

Maja Pantic, Michel F. Valstar, Bihan Jiang, 2011, Face and Gesture 2011.

Ask Alice: an artificial retrieval of information agent

Eduardo Coutinho, Björn W. Schuller, Dirk Heylen, 2016, ICMI.

Summary for AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2016, ACM Multimedia.

Decision Level Fusion of Domain Specific Regions for Facial Action Recognition

Maja Pantic, Michel F. Valstar, Bihan Jiang, 2014, 2014 22nd International Conference on Pattern Recognition.

How to distinguish posed from spontaneous smiles using geometric features

Hatice Gunes, Maja Pantic, Michel F. Valstar, 2007, ICMI '07.

Introduction to the Special Section on Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2018, ACM Trans. Multim. Comput. Commun. Appl..

Building Autonomous Sensitive Artificial Listeners

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2012, IEEE Transactions on Affective Computing.

Workshop summary for the 3rd international audio/visual emotion challenge and workshop (AVEC'13)

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2013, MM '13.

Topic Switch Models for Dialogue Management in Virtual Humans

Michel F. Valstar, Andry Chowanda, Wenjue Zhu, 2016, IVA.

Cascaded Continuous Regression for Real-time Incremental Face Tracking pdf

Michel F. Valstar, Georgios Tzimiropoulos, Brais Martínez, 2016, ECCV.

Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP

Michel F. Valstar, Timur R. Almaev, Anil Yüce, 2013, ICMI '13.

Playing with Social and Emotional Game Companions

Michel F. Valstar, Peter Blanchfield, Andry Chowanda, 2016, IVA.

Emotionally aware automated portrait painting

Simon Colton, Maja Pantic, Michel F. Valstar, 2008, DIMEA.

AVEC 2012: the continuous audio/visual emotion challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2012, ICMI '12.

The first facial expression recognition and analysis challenge

Maja Pantic, Michel F. Valstar, Klaus R. Scherer, 2011, Face and Gesture 2011.

Inferring Dynamic Representations of Facial Actions from a Still Image pdf

LinLin Shen, Michel F. Valstar, Enrique Sánchez-Lozano, 2019, ArXiv.

MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation

Tony P. Pridmore, Michel F. Valstar, Muhammad Haris Khan, 2014, ACCV.

L2, 1-based regression and prediction accumulation across views for robust facial landmark detection

Michel F. Valstar, Brais Martínez, M. Valstar, 2016, Image Vis. Comput..

Cascaded regression with sparsified feature covariance matrix for facial landmark detection

Michel F. Valstar, Brais Martínez, Enrique Sánchez-Lozano, 2016, Pattern Recognit. Lett..

Come and have an emotional workout with sensitive artificial listeners!

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2011, Face and Gesture 2011.

ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016

Sergio Escalera, Xavier Baró, Isabelle Guyon, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Web-based database for facial expression analysis

Maja Pantic, Michel F. Valstar, Ludo Maat, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Triple consistency loss for pairing distributions in GAN-based face synthesis pdf

Michel F. Valstar, Enrique Sanchez, 2018, ArXiv.

FERA 2014 chairs' welcome

Lijun Yin, Maja Pantic, Michel F. Valstar, 2015, FG.

Automatic Behaviour Understanding in Medicine

Michel F. Valstar, M. Valstar, 2014, RFMIR '14.

Local Gabor Binary Patterns from Three Orthogonal Planes for Automatic Facial Expression Recognition

Michel F. Valstar, Timur R. Almaev, M. Valstar, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Guest Editorial: The Computational Face

Takeo Kanade, Sergio Escalera, Xavier Baró, 2018, IEEE Trans. Pattern Anal. Mach. Intell..

Summary for AVEC 2017: Real-life Depression and Affect Challenge and Workshop

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2017, ACM Multimedia.

Facial Actions as Social Signals

Stefanos Zafeiriou, Maja Pantic, Michel F. Valstar, 2017, Social Signal Processing.

Meta-Analysis of the First Facial Expression Recognition Challenge

Maja Pantic, Michel F. Valstar, Klaus R. Scherer, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge

Fabien Ringeval, Björn W. Schuller, Roddy Cowie, 2014, AVEC@ACM Multimedia.

Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge

Fabien Ringeval, Björn W. Schuller, Maja Pantic, 2017, AVEC@ACM Multimedia.

Building autonomous sensitive artificial listeners (Extended abstract)

Björn W. Schuller, Dirk Heylen, Hatice Gunes, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Timing is everything : a spatio-temporal approach to the analysis of facial actions

Michel F. Valstar, M. Valstar, 2008 .

Spontaneous vs. posed facial behavior: automatic analysis of brow actions

Maja Pantic, Michel F. Valstar, Jeffrey F. Cohn, 2006, ICMI '06.

A CNN Cascade for Landmark Guided Semantic Part Segmentation pdf

Michel F. Valstar, Georgios Tzimiropoulos, Aaron S. Jackson, 2016, ECCV Workshops.

Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora pdf

Björn W. Schuller, Tobias Baur, Johannes Wagner, 2018, ArXiv.

FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge

Zheng Zhang, Maja Pantic, Michel F. Valstar, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection

Michel F. Valstar, Brais Martínez, Timur R. Almaev, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features

LinLin Shen, Michel F. Valstar, Siyang Song, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Deep Learned Cumulative Attribute Regression

Michel F. Valstar, Shashank Jaiswal, Joy Egede, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition

Fabien Ringeval, Björn W. Schuller, Albert Ali Salah, 2018, AVEC@MM.

AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

Fabien Ringeval, Björn W. Schuller, Roddy Cowie, 2016, AVEC@ACM Multimedia.

AVEC 2011-The First International Audio/Visual Emotion Challenge

Björn W. Schuller, Maja Pantic, Roddy Cowie, 2011, ACII.

TRIC-track: Tracking by Regression with Incrementally Learned Cascades

Tony P. Pridmore, Michel F. Valstar, Xiaomeng Wang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation

Hatice Gunes, LinLin Shen, Michel F. Valstar, 2021, ACM Multimedia.

ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies

Martin Porcheron, Joel E. Fischer, Michel F. Valstar, 2021, CUI.

Few-Shot Learning for Postnatal Gestational Age Estimation

Michel F. Valstar, Isaac Triguero, Mercedes Torres Torres, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Apparent Personality Recognition from Uncertainty-Aware Facial Emotion Predictions using Conditional Latent Variable Models

Michel F. Valstar, Timo Giesbrecht, Mani Kumar Tellamekala, 2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).

Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning

Michel F. Valstar, Timo Giesbrecht, Michael Pound, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study

Martin Porcheron, Joel E. Fischer, Michel F. Valstar, 2021, IVA.

Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety

Michel F. Valstar, Shashank Jaiswal, Neil Nixon, 2021, IVA.

Self-supervised learning of Dynamic Representations for Static Images

LinLin Shen, Michel F. Valstar, Siyang Song, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).