Enrique Sanchez
Enrique Sanchez
Samsung AI Center Cambridge
Verified email at - 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, ...
FG 2017, 2017
Cascaded continuous regression for real-time incremental face tracking
E Sánchez-Lozano, B Martinez, G Tzimiropoulos, M Valstar
ECCV, 645-661, 2016
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
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
Joint Action Unit localisation and intensity estimation through heatmap regression
E Sanchez, G Tzimiropoulos, M Valstar
BMVC, 2018
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
Bayesian prompt learning for image-language model generalization
MM Derakhshani, E Sanchez, A Bulat, VGT da Costa, CGM Snoek, ...
ICCV, 15237-15246, 2023
A recurrent cycle consistency loss for progressive face-to-face synthesis
E Sanchez, M Valstar
FG, 2020
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
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
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
Subpixel heatmap regression for facial landmark localization
A Bulat, E Sanchez, G Tzimiropoulos
BMVC, 2021
Pre-training strategies and datasets for facial representation learning
A Bulat, S Cheng, J Yang, A Garbett, E Sanchez, G Tzimiropoulos
ECCV, 2022
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
Object landmark discovery through unsupervised adaptation
E Sanchez, G Tzimiropoulos
NeurIPS 32, 13498--13509, 2019
Continuous regression for non-rigid image alignment
E Sánchez-Lozano, FD Torre, D González-Jiménez
ECCV, 250-263, 2012
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
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
D Mallis, E Sanchez, M Bell, G Tzimiropoulos
NeurIPS 33, 4709--4720, 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
Self-supervised learning of dynamic representations for static images
S Song, E Sanchez, L Shen, M Valstar
ICPR, 1619-1626, 2021
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