Enrique Sanchez
Enrique Sanchez
Samsung AI Centre Cambridge / University of Nottingham
Verified email at samsung.com - Homepage
Cited by
Cited by
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, ...
Automatic Face & Gesture Recognition (FG 2017), 2017 12th IEEE International …, 2017
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
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
Audiovisual three-level fusion for continuous estimation of russell's emotion circumplex
E Sánchez-Lozano, P Lopez-Otero, L Docio-Fernandez, E Argones-Rúa, ...
Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013
Joint Action Unit localisation and intensity estimation through heatmap regression
E Sanchez, G Tzimiropoulos, M Valstar
British Machine Vision Conference, 2018
A recurrent cycle consistency loss for progressive face-to-face synthesis
E Sanchez, M Valstar
Automatic Face & Gesture Recognition (FG 2020), 2020 15th IEEE International …, 2020
Continuous regression for non-rigid image alignment
E Sánchez-Lozano, F De la Torre, D González-Jiménez
European Conference on Computer Vision, 250-263, 2012
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
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
Object landmark discovery through unsupervised adaptation
E Sanchez, G Tzimiropoulos
Advances in Neural Information Processing Systems (NeurIPS) 32, 13498--13509, 2019
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
Inferring dynamic representations of facial actions from a still image
S Song, E Sánchez-Lozano, L Shen, A Johnston, M Valstar
arXiv preprint arXiv:1904.02382, 2019
Dynamic facial models for video-based dimensional affect estimation
S Song, E Sánchez-Lozano, M Kumar Tellamekala, L Shen, A Johnston, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Blockwise Linear Regression for Face Alignment
E Sánchez-Lozano, E Argones-Rúa, JL Alba-Castro
British Machine Vision Conference 85, 85.1 -- 85.11, 2013
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, 2021
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
D Mallis, E Sanchez, M Bell, G Tzimiropoulos
Advances in Neural Information Processing Systems 33, 2020
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning
E Sanchez, A Bulat, A Zaganidis, G Tzimiropoulos
Proceedings of the Asian Conference on Computer Vision, 2020
Parameter constraints for accurate face alignment in the simultaneous inverse compositional algorithm
E Sánchez-Lozano, D González-Jiménez, JL Alba-Castro
2011 7th International Symposium on Image and Signal Processing and Analysis …, 2011
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
E Sanchez, MK Tellamekala, M Valstar, G Tzimiropoulos
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Pre-training strategies and datasets for facial representation learning
A Bulat, S Cheng, J Yang, A Garbett, E Sanchez, G Tzimiropoulos
arXiv preprint arXiv:2103.16554, 2021
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