Michel F. Valstar

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 95

Top Venues

CoRR

IEEE Trans. Affect. Comput.

ACM Multimedia

Publications

Jonathan Gratch, Gretchen Greene, Rosalind W. Picard, Lachlan Urquhart, Michel F. Valstar
Guest Editorial: Ethics in Affective Computing. IEEE Trans. Affect. Comput. 15 (1) (2024)
Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel F. Valstar
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? IEEE Trans. Affect. Comput. 15 (2) (2024)
Siyang Song, Micol Spitale, Cheng Luo, Cristina Palmero, Germán Barquero, Hengde Zhu, Sergio Escalera, Michel F. Valstar, Tobias Baur, Fabien Ringeval, Elisabeth André, Hatice Gunes
REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge. CoRR (2024)
Mani Kumar Tellamekala, Shahin Amiriparian, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel F. Valstar
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Siyang Song, Yiming Luo, Tugba Tümer, Changzeng Fu, Michel F. Valstar, Hatice Gunes
Loss Relaxation Strategy for Noisy Facial Video-based Automatic Depression Recognition. ACM Trans. Comput. Heal. 5 (2) (2024)
Siyang Song, Micol Spitale, Cheng Luo, Cristina Palmero, Germán Barquero, Hengde Zhu, Sergio Escalera, Michel F. Valstar, Tobias Baur, Fabien Ringeval, Elisabeth André, Hatice Gunes
REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge. FG (2024)
Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes
Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14 (4) (2023)
Mani Kumar Tellamekala, Timo Giesbrecht, Michel F. Valstar
Modelling Stochastic Context of Audio-Visual Expressive Behaviour With Affective Processes. IEEE Trans. Affect. Comput. 14 (3) (2023)
Siyang Song, Shashank Jaiswal, Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Linlin Shen, Michel F. Valstar
Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14 (1) (2023)
Siyang Song, Micol Spitale, Cheng Luo, Germán Barquero, Cristina Palmero, Sergio Escalera, Michel F. Valstar, Tobias Baur, Fabien Ringeval, Elisabeth André, Hatice Gunes
REACT2023: The First Multiple Appropriate Facial Reaction Generation Challenge. ACM Multimedia (2023)
Ioanna Ntinou, Enrique Sánchez-Lozano, Adrian Bulat, Michel F. Valstar, Georgios Tzimiropoulos
A Transfer Learning Approach to Heatmap Regression for Action Unit Intensity Estimation. IEEE Trans. Affect. Comput. 14 (1) (2023)
Siyang Song, Micol Spitale, Cheng Luo, Germán Barquero, Cristina Palmero, Sergio Escalera, Michel F. Valstar, Tobias Baur, Fabien Ringeval, Elisabeth André, Hatice Gunes
REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge. CoRR (2023)
Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller
Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition. CoRR (2022)
Siyang Song, Shashank Jaiswal, Linlin Shen, Michel F. Valstar
Spectral Representation of Behaviour Primitives for Depression Analysis. IEEE Trans. Affect. Comput. 13 (2) (2022)
Mani Kumar Tellamekala, Shahin Amiriparian, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel F. Valstar
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition. CoRR (2022)
Mani Kumar Tellamekala, Timo Giesbrecht, Michel F. Valstar
Dimensional Affect Uncertainty Modelling for Apparent Personality Recognition. IEEE Trans. Affect. Comput. 13 (4) (2022)
Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel F. Valstar
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? CoRR (2022)
Vincent Karas, Mani Kumar Tellamekala, Adria Mallol-Ragolta, Michel F. Valstar, Björn W. Schuller
Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect Recognition. CVPR Workshops (2022)
Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres
Few-Shot Learning for Postnatal Gestational Age Estimation. IJCNN (2021)
Enrique Sanchez, Mani Kumar Tellamekala, Michel F. Valstar, Georgios Tzimiropoulos
Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition. CVPR (2021)
Jiaqi Xu, Siyang Song, Keerthy Kusumam, Hatice Gunes, Michel F. Valstar
Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation. CoRR (2021)
Joy Egede, Maria J. Galvez Trigo, Adrian Hazzard, Martin Porcheron, Edgar Bodiaj, Joel E. Fischer, Chris Greenhalgh, Michel F. Valstar
Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study. IVA (2021)
Joy O. Egede, Dominic Price, Deepa B. Krishnan, Shashank Jaiswal, Natasha Elliot, Richard F. Morriss, Maria J. Galvez Trigo, Neil Nixon, Peter Liddle, Christopher Greenhalgh, Michel F. Valstar
Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety. IVA (2021)
Enrique Sanchez, Mani Kumar Tellamekala, Michel F. Valstar, Georgios Tzimiropoulos
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition. CoRR (2021)
Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition. CoRR (2021)
Gabriel Haddon-Hill, Keerthy Kusumam, Michel F. Valstar
A simple baseline for evaluating Expression Transfer and Anonymisation in Video Transfer. ACII (Workshops and Demos) (2021)
Mani Kumar Tellamekala, Timo Giesbrecht, Michel F. Valstar
Apparent Personality Recognition from Uncertainty-Aware Facial Emotion Predictions using Conditional Latent Variable Models. FG (2021)
Maria J. Galvez Trigo, Martin Porcheron, Joy Egede, Joel E. Fischer, Adrian Hazzard, Chris Greenhalgh, Edgar Bodiaj, Michel F. Valstar
ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies. CUI (2021)
Zilong Shao, Siyang Song, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes
Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation. ACM Multimedia (2021)
Mani Kumar Tellamekala, Enrique Sanchez, Georgios Tzimiropoulos, Timo Giesbrecht, Michel F. Valstar
Stochastic Process Regression for Cross-Cultural Speech Emotion Recognition. Interspeech (2021)
Martin Porcheron, Joel E. Fischer, Michel F. Valstar
NottReal: A Tool for Voice-based Wizard of Oz studies. CIU (2020)
Ioanna Ntinou, Enrique Sanchez, Adrian Bulat, Michel F. Valstar, Georgios Tzimiropoulos
A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation. CoRR (2020)
Siyang Song, Enrique Sanchez, Linlin Shen, Michel F. Valstar
Self-supervised learning of Dynamic Representations for Static Images. ICPR (2020)
Joy Egede, Temitayo A. Olugbade, Chongyang Wang, Siyang Song, Nadia Berthouze, Michel F. Valstar, Amanda C. de C. Williams, Hongying Meng, Min Hane Aung, Nicholas D. Lane
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. CoRR (2020)
Mani Kumar Tellamekala, Michel F. Valstar, Michael P. Pound, Timo Giesbrecht
Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning. ICPR (2020)
Tobias Baur, Alexander Heimerl, Florian Lingenfelser, Johannes Wagner, Michel F. Valstar, Björn W. Schuller, Elisabeth André
eXplainable Cooperative Machine Learning with NOVA. Künstliche Intell. 34 (2) (2020)
Enrique Sanchez, Michel F. Valstar
A recurrent cycle consistency loss for progressive face-to-face synthesis. CoRR (2020)
Joy O. Egede, Siyang Song, Temitayo A. Olugbade, Chongyang Wang, Amanda C. de C. Williams, Hongying Meng, Min S. Hane Aung, Nicholas D. Lane, Michel F. Valstar, Nadia Bianchi-Berthouze
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. FG (2020)
Enrique Sanchez, Michel F. Valstar
A recurrent cycle consistency loss for progressive face-to-face synthesis. FG (2020)
Mercedes Torres Torres, Michel F. Valstar, Caroline Henry, Carole Ward, Don Sharkey
Postnatal gestational age estimation of newborns using Small Sample Deep Learning. Image Vis. Comput. (2019)
Siyang Song, Enrique Sánchez-Lozano, Linlin Shen, Alan Johnston, Michel F. Valstar
Inferring Dynamic Representations of Facial Actions from a Still Image. CoRR (2019)
Joy Egede, Michel F. Valstar, Mercedes Torres Torres, Don Sharkey
Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database. ACII (2019)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Maja Pantic
AVEC'19: Audio/Visual Emotion Challenge and Workshop. ACM Multimedia (2019)
Shashank Jaiswal, Siyang Song, Michel F. Valstar
Automatic prediction of Depression and Anxiety from behaviour and personality attributes. ACII (2019)
Siyang Song, Enrique Sánchez-Lozano, Mani Kumar Tellamekala, Linlin Shen, Alan Johnston, Michel F. Valstar
Dynamic Facial Models for Video-Based Dimensional Affect Estimation. ICCV Workshops (2019)
Brais Martínez, Michel F. Valstar, Bihan Jiang, Maja Pantic
Automatic Analysis of Facial Actions: A Survey. IEEE Trans. Affect. Comput. 10 (3) (2019)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Meßner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. CoRR (2019)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Meßner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. AVEC@MM (2019)
Thomas J. Smith, Michel F. Valstar, Don Sharkey, John A. Crowe
Clinical Scene Segmentation with Tiny Datasets. ICCV Workshops (2019)
Shashank Jaiswal, Michel F. Valstar, Keerthy Kusumam, Chris Greenhalgh
Virtual Human Questionnaire for Analysis of Depression, Anxiety and Personality. IVA (2019)
Mani Kumar Tellamekala, Michel F. Valstar
Temporally Coherent Visual Representations for Dimensional Affect Recognition. ACII (2019)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Roddy Cowie, Maja Pantic
Summary for AVEC 2018: Bipolar Disorder and Cross-Cultural Affect Recognition. ACM Multimedia (2018)
Sergio Escalera, Xavier Baró, Isabelle Guyon, Hugo Jair Escalante, Georgios Tzimiropoulos, Michel F. Valstar, Maja Pantic, Jeffrey F. Cohn, Takeo Kanade
Guest Editorial: The Computational Face. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Shashank Jaiswal, Joy Egede, Michel F. Valstar
Deep Learned Cumulative Attribute Regression. FG (2018)
Harry J. Witchel, Harry L. Claxton, Daisy C. Holmes, Thomas T. Ranji, Joe D. Chalkley, Carlos P. Santos, Carina E. I. Westling, Michel F. Valstar, Matt Celuszak, Patrick Fagan
A trigger-substrate model for smiling during an automated formative quiz: engagement is the substrate, not frustration. ECCE (2018)
Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Michel F. Valstar
Joint Action Unit localisation and intensity estimation through heatmap regression. CoRR (2018)
Siyang Song, Shuimei Zhang, Björn W. Schuller, Linlin Shen, Michel F. Valstar
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. CoRR (2018)
Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Michel F. Valstar
Joint Action Unit localisation and intensity estimation through heatmap regression. BMVC (2018)
Siyang Song, Linlin Shen, Michel F. Valstar
Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features. FG (2018)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Roddy Cowie, Heysem Kaya, Maximilian Schmitt, Shahin Amiriparian, Nicholas Cummins, Denis Lalanne, Adrien Michaud, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah, Maja Pantic
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. AVEC@MM (2018)
Doratha Vinkemeier, Michel F. Valstar, Jonathan Gratch
Predicting Folds in Poker Using Action Unit Detectors and Decision Trees. FG (2018)
Siyang Song, Shuimei Zhang, Björn W. Schuller, Linlin Shen, Michel F. Valstar
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. IJCNN (2018)
Johannes Wagner, Tobias Baur, Yue Zhang, Michel F. Valstar, Björn W. Schuller, Elisabeth André
Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora. CoRR (2018)
Enrique Sanchez, Michel F. Valstar
Triple consistency loss for pairing distributions in GAN-based face synthesis. CoRR (2018)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Jonathan Gratch, Roddy Cowie, Maja Pantic
Introduction to the Special Section on Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild. ACM Trans. Multim. Comput. Commun. Appl. 14 (1s) (2018)
Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel F. Valstar
A Functional Regression Approach to Facial Landmark Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40 (9) (2018)
Joy Egede, Michel F. Valstar, Brais Martínez
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation. FG (2017)
Michel F. Valstar, Enrique Sánchez-Lozano, Jeffrey F. Cohn, László A. Jeni, Jeffrey M. Girard, Zheng Zhang, Lijun Yin, Maja Pantic
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge. FG (2017)
Shashank Jaiswal, Michel F. Valstar, Alinda Gillott, David Daley
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data. FG (2017)
Michel F. Valstar, Enrique Sánchez-Lozano, Jeffrey F. Cohn, László A. Jeni, Jeffrey M. Girard, Zheng Zhang, Lijun Yin, Maja Pantic
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge. CoRR (2017)
Mercedes Torres, Michel F. Valstar, Caroline Henry, Carole Ward, Don Sharkey
Small Sample Deep Learning for Newborn Gestational Age Estimation. FG (2017)
Joy Egede, Michel F. Valstar, Brais Martínez
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation. CoRR (2017)
Angelo Cafaro, Johannes Wagner, Tobias Baur, Soumia Dermouche, Mercedes Torres, Catherine Pelachaud, Elisabeth André, Michel F. Valstar
The NoXi database: multimodal recordings of mediated novice-expert interactions. ICMI (2017)
Joy O. Egede, Michel F. Valstar
Cumulative attributes for pain intensity estimation. ICMI (2017)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Jonathan Gratch, Roddy Cowie, Maja Pantic
Summary for AVEC 2017: Real-life Depression and Affect Challenge and Workshop. ACM Multimedia (2017)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmitt, Maja Pantic
AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge. AVEC@ACM Multimedia (2017)
Sergio Escalera, Mercedes Torres, Brais Martínez, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Georgios Tzimiropoulos, Ciprian A. Corneanu, Marc Oliu, Mohammad Ali Bagheri, Michel F. Valstar
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016. CVPR Workshops (2016)
Wenjue Zhu, Andry Chowanda, Michel F. Valstar
Topic Switch Models for Dialogue Management in Virtual Humans. IVA (2016)
Enrique Sánchez-Lozano, Brais Martínez, Georgios Tzimiropoulos, Michel F. Valstar
Cascaded Continuous Regression for Real-time Incremental Face Tracking. CoRR (2016)
Michel F. Valstar, Jonathan Gratch, Björn W. Schuller, Fabien Ringeval, Denis Lalanne, Mercedes Torres, Stefan Scherer, Giota Stratou, Roddy Cowie, Maja Pantic
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge. CoRR (2016)
Michel F. Valstar, Jonathan Gratch, Björn W. Schuller, Fabien Ringeval, Denis Lalanne, Mercedes Torres, Stefan Scherer, Giota Stratou, Roddy Cowie, Maja Pantic
AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge. AVEC@ACM Multimedia (2016)
Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) (2016)
Aaron S. Jackson, Michel F. Valstar, Georgios Tzimiropoulos
A CNN Cascade for Landmark Guided Semantic Part Segmentation. CoRR (2016)
Shashank Jaiswal, Michel F. Valstar, Alinda Gillott, David Daley
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD Data. CoRR (2016)
Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel F. Valstar
A Functional Regression approach to Facial Landmark Tracking. CoRR (2016)
Shashank Jaiswal, Michel F. Valstar
Deep learning the dynamic appearance and shape of facial action units. WACV (2016)
Aaron S. Jackson, Michel F. Valstar, Georgios Tzimiropoulos
A CNN Cascade for Landmark Guided Semantic Part Segmentation. ECCV Workshops (3) (2016)
Enrique Sánchez-Lozano, Brais Martínez, Georgios Tzimiropoulos, Michel F. Valstar
Cascaded Continuous Regression for Real-Time Incremental Face Tracking. ECCV (8) (2016)
Andry Chowanda, Peter Blanchfield, Martin Flintham, Michel F. Valstar
Computational Models of Emotion, Personality, and Social Relationships for Interactions in Games: (Extended Abstract). AAMAS (2016)
Michel F. Valstar, Jonathan Gratch, Björn W. Schuller, Fabien Ringeval, Roddy Cowie, Maja Pantic
Summary for AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge. ACM Multimedia (2016)
Min S. H. Aung, Sebastian Kaltwang, Bernardino Romera-Paredes, Brais Martínez, Aneesha Singh, Matteo Cella, Michel F. Valstar, Hongying Meng, Andrew Kemp, Moshen Shafizadeh, Aaron C. Elkins, Natalie Kanakam, Amschel de Rothschild, Nick Tyler, Paul J. Watson, Amanda C. de C. Williams, Maja Pantic, Nadia Bianchi-Berthouze
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. IEEE Trans. Affect. Comput. 7 (4) (2016)
Enrique Sánchez-Lozano, Brais Martínez, Michel F. Valstar
Cascaded regression with sparsified feature covariance matrix for facial landmark detection. Pattern Recognit. Lett. 73 (2016)
Andry Chowanda, Martin Flintham, Peter Blanchfield, Michel F. Valstar
Playing with Social and Emotional Game Companions. IVA (2016)
Brais Martínez, Michel F. Valstar
-based regression and prediction accumulation across views for robust facial landmark detection. Image Vis. Comput. 47 (2016)
Michel F. Valstar, Tobias Baur, Angelo Cafaro, Alexandru Ghitulescu, Blaise Potard, Johannes Wagner, Elisabeth André, Laurent Durieu, Matthew P. Aylett, Soumia Dermouche, Catherine Pelachaud, Eduardo Coutinho, Björn W. Schuller, Yue Zhang, Dirk Heylen, Mariët Theune, Jelte van Waterschoot
Ask Alice: an artificial retrieval of information agent. ICMI (2016)
Marc Schröder, Elisabetta Bevacqua, Roddy Cowie, Florian Eyben, Hatice Gunes, Dirk Heylen, Mark ter Maat, Gary McKeown, Sathish Pammi, Maja Pantic, Catherine Pelachaud, Björn W. Schuller, Etienne de Sevin, Michel F. Valstar, Martin Wöllmer
Building autonomous sensitive artificial listeners (Extended abstract). ACII (2015)
Timur R. Almaev, Brais Martínez, Michel F. Valstar
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection. ICCV (2015)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Shashank Jaiswal, Erik Marchi, Denis Lalanne, Roddy Cowie, Maja Pantic
AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data. AVEC@ACM Multimedia (2015)
Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Roddy Cowie, Maja Pantic
AVEC 2015: The 5th International Audio/Visual Emotion Challenge and Workshop. ACM Multimedia (2015)
Xiaomeng Wang, Michel F. Valstar, Brais Martínez, Muhammad Haris Khan, Tony P. Pridmore
TRIC-track: Tracking by Regression with Incrementally Learned Cascades. ICCV (2015)

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Michel F. Valstar