| FERA 2017-Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge MF Valstar, E Sánchez-Lozano, JF Cohn, LA Jeni, JM Girard, Z Zhang, ... FG 2017, 2017 | 148 | 2017 |
| Digital innovations in L2 motivation: Harnessing the power of the Ideal L2 Self S Adolphs, L Clark, Z Dörnyei, T Glover, A Henry, C Muir, ... System 78, 173-185, 2018 | 73 | 2018 |
| Cascaded continuous regression for real-time incremental face tracking E Sánchez-Lozano, B Martinez, G Tzimiropoulos, M Valstar ECCV, 645-661, 2016 | 73 | 2016 |
| Bayesian prompt learning for image-language model generalization MM Derakhshani, E Sanchez, A Bulat, VGT da Costa, CGM Snoek, ... ICCV, 15237-15246, 2023 | 61* | 2023 |
| Self-supervised learning of person-specific facial dynamics for automatic personality recognition S Song, S Jaiswal, E Sanchez, G Tzimiropoulos, L Shen, M Valstar IEEE Transactions on Affective Computing 14 (1), 178-195, 2021 | 54 | 2021 |
| Joint Action Unit localisation and intensity estimation through heatmap regression E Sanchez, G Tzimiropoulos, M Valstar BMVC, 2018 | 51* | 2018 |
| A functional regression approach to facial landmark tracking E Sanchez-Lozano, G Tzimiropoulos, B Martinez, F De la Torre, M Valstar IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (9), 2037-2050, 2018 | 48 | 2018 |
| A recurrent cycle consistency loss for progressive face-to-face synthesis E Sanchez, M Valstar FG, 2020 | 45* | 2020 |
| Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition E Sanchez, MK Tellamekala, M Valstar, G Tzimiropoulos CVPR, 9074-9084, 2021 | 40 | 2021 |
| Audiovisual three-level fusion for continuous estimation of russell's emotion circumplex E Sánchez-Lozano, P Lopez-Otero, L Docio-Fernandez, E Argones-Rúa, ... 3rd ACM Audio/Visual Emotion Challenge, 31-40, 2013 | 36 | 2013 |
| A transfer learning approach to heatmap regression for action unit intensity estimation I Ntinou, E Sanchez, A Bulat, M Valstar, G Tzimiropoulos IEEE Transactions on Affective Computing, 2021 | 35 | 2021 |
| Pre-training strategies and datasets for facial representation learning A Bulat, S Cheng, J Yang, A Garbett, E Sanchez, G Tzimiropoulos ECCV, 2022 | 32 | 2022 |
| Subpixel heatmap regression for facial landmark localization A Bulat, E Sanchez, G Tzimiropoulos BMVC, 2021 | 32 | 2021 |
| Dynamic facial models for video-based dimensional affect estimation S Song, E Sánchez-Lozano, M Kumar Tellamekala, L Shen, A Johnston, ... ICCV Workshops, 0-0, 2019 | 26 | 2019 |
| Object landmark discovery through unsupervised adaptation E Sanchez, G Tzimiropoulos NeurIPS 32, 13498--13509, 2019 | 21 | 2019 |
| Stochastic process regression for cross-cultural speech emotion recognition T Mani Kumar, E Sanchez, G Tzimiropoulos, T Giesbrecht, M Valstar Proc. Interspeech 2021, 3390-3394, 2021 | 19 | 2021 |
| Continuous regression for non-rigid image alignment E Sánchez-Lozano, FD Torre, D González-Jiménez ECCV, 250-263, 2012 | 18 | 2012 |
| Unsupervised Learning of Object Landmarks via Self-Training Correspondence D Mallis, E Sanchez, M Bell, G Tzimiropoulos NeurIPS 33, 4709--4720, 2020 | 16 | 2020 |
| Cascaded regression with sparsified feature covariance matrix for facial landmark detection E Sánchez-Lozano, B Martinez, MF Valstar Pattern Recognition Letters 73, 19-25, 2016 | 13 | 2016 |
| Self-supervised learning of dynamic representations for static images S Song, E Sanchez, L Shen, M Valstar ICPR, 1619-1626, 2021 | 12 | 2021 |
Georgios (Yorgos) TzimiropoulosSamsung AI Center, Cambridge | Queen Mary University of LondonVerified email at qmul.ac.uk
