Parameter constraints for accurate face alignment in the simultaneous inverse compositional algorithm. - Enrique Sánchez-Lozano; Daniel González-Jiménez; José Luis Alba-Castro (ISPA, 2011)

Continuous Regression for Non-rigid Image Alignment. - Enrique Sánchez-Lozano; Fernando De la Torre; Daniel González-Jiménez (ECCV (7), 2012)

Blockwise Linear Regression for Face Alignment. - Enrique Sánchez-Lozano; Enrique Argones-Rúa; José Luis Alba-Castro (BMVC, 2013)

Audiovisual three-level fusion for continuous estimation of Russell's emotion circumplex. - Enrique Sánchez-Lozano; Paula Lopez-Otero; Laura Docío Fernández; Enrique Argones-Rúa; José Luis Alba-Castro (AVEC@ACM Multimedia, 2013)

Cascaded Continuous Regression for Real-Time Incremental Face Tracking. - Enrique Sánchez-Lozano; Brais Martínez; Georgios Tzimiropoulos; Michel F. Valstar (ECCV (8), 2016)

Cascaded regression with sparsified feature covariance matrix for facial landmark detection. - Enrique Sánchez-Lozano; Brais Martínez; Michel F. Valstar (Pattern Recognit. Lett., 2016)

FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge. - Michel F. Valstar; Enrique Sánchez-Lozano; Jeffrey F. Cohn; László A. Jeni; Jeffrey M. Girard; Zheng Zhang 023; Lijun Yin 001; Maja Pantic (FG, 2017)

Continuous regression: a functional regression approach to facial landmark tracking. - Enrique Sánchez-Lozano (2017)

Joint Action Unit localisation and intensity estimation through heatmap regression. - Enrique Sánchez-Lozano; Georgios Tzimiropoulos; Michel F. Valstar (BMVC, 2018)

A Functional Regression Approach to Facial Landmark Tracking. - Enrique Sánchez-Lozano; Georgios Tzimiropoulos; Brais Martínez; Fernando De la Torre; Michel F. Valstar (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Dynamic Facial Models for Video-Based Dimensional Affect Estimation. - Siyang Song; Enrique Sánchez-Lozano; Mani Kumar Tellamekala; Linlin Shen; Alan Johnston; Michel F. Valstar (ICCV Workshops, 2019)

Inferring Dynamic Representations of Facial Actions from a Still Image. - Siyang Song; Enrique Sánchez-Lozano; Linlin Shen; Alan Johnston; Michel F. Valstar (CoRR, 2019)

Improving Memory Banks for Unsupervised Learning with Large Mini-Batch, Consistency and Hard Negative Mining. - Adrian Bulat; Enrique Sánchez-Lozano; Georgios Tzimiropoulos (ICASSP, 2021)

Pre-training Strategies and Datasets for Facial Representation Learning. - Adrian Bulat; Shiyang Cheng 001; Jing Yang 038; Andrew Garbett; Enrique Sánchez-Lozano; Georgios Tzimiropoulos (ECCV (13), 2022)

A Transfer Learning Approach to Heatmap Regression for Action Unit Intensity Estimation. - Ioanna Ntinou; Enrique Sánchez-Lozano; Adrian Bulat; Michel F. Valstar; Georgios Tzimiropoulos (IEEE Trans. Affect. Comput., 2023)

Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition. - Siyang Song; Shashank Jaiswal; Enrique Sánchez-Lozano; Georgios Tzimiropoulos; Linlin Shen; Michel F. Valstar (IEEE Trans. Affect. Comput., 2023)

From Keypoints to Object Landmarks via Self-Training Correspondence: A Novel Approach to Unsupervised Landmark Discovery. - Dimitrios Mallis; Enrique Sánchez-Lozano; Matthew Bell; Georgios Tzimiropoulos (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-scale Image Super Resolution with a Single Auto-Regressive Model. - Enrique Sánchez-Lozano; Isma Hadji; Adrian Bulat; Christos Tzelepis; Brais Martínez; Georgios Tzimiropoulos (CoRR, 2025)