| 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 | 419 | 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 | 310 | 2019 |
| Lipreading using Temporal Convolutional Networks B Martinez, P Ma, S Petridis, M Pantic IEEE International Conference on Acoustics, Speech and Signal Processing, 2020 | 182 | 2020 |
| 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 | 182 | 2014 |
| 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, ... | 167 | 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 | 163 | 2020 |
| 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 | 162 | 2013 |
| The MAHNOB Laughter Database S Petridis, B Martinez, M Pantic Image and Vision Computing 31 (2), 186-202, 2013 | 143 | 2013 |
| Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition B Martinez, MF Valstar | 139 | 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 | 123 | 2016 |
| 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 | 82 | 2019 |
| Cascaded continuous regression for real-time incremental face tracking E Sánchez-Lozano, B Martinez, G Tzimiropoulos, M Valstar Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 72 | 2016 |
| 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 | 68 | 2017 |
| Knowledge distillation via softmax regression representation learning J Yang, B Martinez, A Bulat, G Tzimiropoulos International Conference on Learning Representations (ICLR), 2021 | 67* | 2021 |
| Towards practical lipreading with distilled and efficient models P Ma, B Martinez, S Petridis, M Pantic IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 64 | 2021 |
| 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 | 63 | 2014 |
| Space-time Mixing Attention for Video Transformer A Bulat, JM Perez-Rua, S Sudhakaran, B Martinez, G Tzimiropoulos Neural Information Processing Systems (NeurIPS), 2021 | 61 | 2021 |
| 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 | 54 | 2015 |
| BATS: Binary ArchitecTure Search A Bulat, B Martinez, G Tzimiropoulos European Conference on Computer Vision (ECCV), 2020 | 52 | 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 | 50 | 2015 |
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamVerified email at nottingham.ac.uk
