| Facial point detection using boosted regression and graph models M Valstar, B Martinez, X Binefa, M Pantic 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 401 | 2010 |
| Automatic analysis of facial actions: A survey B Martinez, MF Valstar, B Jiang, M Pantic IEEE transactions on affective computing 10 (3), 325-347, 2019 | 203 | 2019 |
| A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modelling B Jiang, M Valstar, B Martinez, M Pantic IEEE Transactions on Systems, Man and Cybernetics - Part B 44 (2), 161-174, 2014 | 165 | 2014 |
| Local Evidence Aggregation for Regression Based Facial Point Detection B Martinez, M Valstar, X Binefa, M Pantic IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (5), 1149-1163, 2013 | 145 | 2013 |
| The MAHNOB Laughter Database S Petridis, B Martinez, M Pantic Image and Vision Computing 31 (2), 186-202, 2013 | 126 | 2013 |
| The automatic detection of chronic pain-related expression: requirements, challenges and the multimodal EmoPain dataset MSH Aung, S Kaltwang, B Romera-Paredes, B Martinez, A Singh, M Cella, ... | 124 | 2016 |
| The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset MSH Aung, S Kaltwang, B Romera-Paredes, B Martinez, A Singh, M Cella, ... Transactions on Affective Computing, 2016 | 123* | 2016 |
| Chalearn looking at people and faces of the world: Face analysis workshop and challenge 2016 S Escalera, M Torres Torres, B Martinez, X Baró, H Jair Escalante, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 104 | 2016 |
| Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition B Martinez, MF Valstar | 97 | 2016 |
| Cascaded continuous regression for real-time incremental face tracking E Sánchez-Lozano, B Martinez, G Tzimiropoulos, M Valstar European Conference on Computer Vision, 645-661, 2016 | 68 | 2016 |
| Training binary neural networks with real-to-binary convolutions B Martinez, J Yang, A Bulat, G Tzimiropoulos International Conference on Learning Representations (ICLR), 2020 | 54 | 2020 |
| Decision Level Fusion of Domain Specific Regions for Facial Action Recognition B Jiang, B Martinez, MF Valstar, M Pantic International Conference on Pattern Recognition, 2014 | 53 | 2014 |
| Action recognition with spatial-temporal discriminative filter banks B Martinez, D Modolo, Y Xiong, J Tighe Proceedings of the IEEE International Conference on Computer Vision, 5482-5491, 2019 | 48 | 2019 |
| Fusing deep learned and hand-crafted features of appearance, shape, and dynamics for automatic pain estimation J Egede, M Valstar, B Martinez 2017 12th IEEE international conference on automatic face & gesture …, 2017 | 47 | 2017 |
| Empirical analysis of cascade deformable models for multi-view face detection J Orozco, B Martinez, M Pantic Image and Vision Computing 42, 47 - 61, 2015 | 47 | 2015 |
| Lipreading using Temporal Convolutional Networks B Martinez, P Ma, S Petridis, M Pantic IEEE International Conference on Acoustics, Speech and Signal Processing, 2020 | 45 | 2020 |
| Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection T Almaev, B Martinez, M Valstar Computer Vision (ICCV), 2015 IEEE International Conference on, 2015 | 45 | 2015 |
| Facial component detection in thermal imagery B Martinez, X Binefa, M Pantic 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 36 | 2010 |
| TRIC-track: Tracking by Regression with Incrementally Learned Cascades X Wang, M Valstar, B Martinez, MH Khan, T Pridmore Computer Vision (ICCV), 2015 IEEE International Conference on, 2015 | 34 | 2015 |
| A functional regression approach to facial landmark tracking E Sánchez-Lozano, G Tzimiropoulos, B Martinez, F De la Torre, M Valstar IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (9), 2037-2050, 2018 | 33 | 2018 |
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamVerified email at nottingham.ac.uk
