43 citations · 80 across the 6 of their papers we have counts for
6 papers
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
Adrian Bulat, Enrique Sánchez-Lozano, Georgios Tzimiropoulos
An important component of unsupervised learning by instance-based discrimination is a memory bank for storing a feature representation for each training sample in the dataset. In t…
Inferring Dynamic Representations of Facial Actions from a Still Image
Siyang Song, Enrique Sánchez-Lozano, Linlin Shen +2
Facial actions are spatio-temporal signals by nature, and therefore their modeling is crucially dependent on the availability of temporal information. In this paper, we focus on in…
Joint Action Unit localisation and intensity estimation through heatmap regression
Enrique Sanchez-Lozano, Georgios Tzimiropoulos, Michel Valstar
This paper proposes a supervised learning approach to jointly perform facial Action Unit (AU) localisation and intensity estimation. Contrary to previous works that try to learn an…
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge
Michel F. Valstar, Enrique Sánchez-Lozano, Jeffrey F. Cohn +5
The field of Automatic Facial Expression Analysis has grown rapidly in recent years. However, despite progress in new approaches as well as benchmarking efforts, most evaluations s…
A Functional Regression approach to Facial Landmark Tracking
Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martinez +2
Linear regression is a fundamental building block in many face detection and tracking algorithms, typically used to predict shape displacements from image features through a linear…
Cascaded Continuous Regression for Real-time Incremental Face Tracking
Enrique Sánchez-Lozano, Brais Martinez, Georgios Tzimiropoulos +1
This paper introduces a novel real-time algorithm for facial landmark tracking. Compared to detection, tracking has both additional challenges and opportunities. Arguably the most…