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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…
A CNN Cascade for Landmark Guided Semantic Part Segmentation
Aaron Jackson, Michel Valstar, Georgios Tzimiropoulos
This paper proposes a CNN cascade for semantic part segmentation guided by pose-specific information encoded in terms of a set of landmarks (or keypoints). There is large amount of…
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge
Adrian Bulat, Georgios Tzimiropoulos
This paper describes our submission to the 1st 3D Face Alignment in the Wild (3DFAW) Challenge. Our method builds upon the idea of convolutional part heatmap regression [1], extend…
Human pose estimation via Convolutional Part Heatmap Regression
Adrian Bulat, Georgios Tzimiropoulos
This paper is on human pose estimation using Convolutional Neural Networks. Our main contribution is a CNN cascaded architecture specifically designed for learning part relationshi…
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…