Georgios Tzimiropoulos

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Project-Out Cascaded Regression with an application to face alignment

Georgios Tzimiropoulos
IEEE Conference on Computer Vision and Pattern…
2015

Cascaded regression approaches have been recently shown to achieve state-of-the-art performance for many computer vision tasks. Beyond its connection to boosting, cascaded regression has been… (More)

The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results

Jie Shen, Stefanos P. Zafeiriou, Grigoris G. Chrysos, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
IEEE International Conference on Computer Vision…
2015

Detection and tracking of faces in image sequences is among the most well studied problems in the intersection of statistical machine learning and computer vision. Often, tracking and detection… (More)

300 Faces In-The-Wild Challenge: database and results

Christos Sagonas, Epameinondas Antonakos, Georgios Tzimiropoulos, Stefanos P. Zafeiriou, Maja Pantic
Image Vision Comput.
2016

Computer Vision has recently witnessed great research advance towards automatic facial points detection. Numerous methodologies have been proposed during the last few years that achieve accurate and… (More)

Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild

Georgios Tzimiropoulos, Maja Pantic
IEEE Conference on Computer Vision and Pattern…
2014

Arguably, Deformable Part Models (DPMs) are one of the most prominent approaches for face alignment with impressive results being recently reported for both controlled lab and unconstrained settings.… (More)

Feature-Based Lucas–Kanade and Active Appearance Models

Epameinondas Antonakos, Joan Alabort-i-Medina, Georgios Tzimiropoulos, Stefanos P. Zafeiriou
IEEE Transactions on Image Processing
2015

Lucas-Kanade and active appearance models are among the most commonly used methods for image alignment and facial fitting, respectively. They both utilize nonlinear gradient descent, which is usually… (More)

A Semi-automatic Methodology for Facial Landmark Annotation

Christos Sagonas, Georgios Tzimiropoulos, Stefanos P. Zafeiriou, Maja Pantic
IEEE Conference on Computer Vision and Pattern…
2013

Developing powerful deformable face models requires massive, annotated face databases on which techniques can be trained, validated and tested. Manual annotation of each facial image in terms of… (More)

Optimization Problems for Fast AAM Fitting in-the-Wild

Georgios Tzimiropoulos, Maja Pantic
IEEE International Conference on Computer Vision
2013

We describe a very simple framework for deriving the most-well known optimization problems in Active Appearance Models (AAMs), and most importantly for providing efficient solutions. Our formulation… (More)

Human pose estimation via Convolutional Part Heatmap Regression

Motivation • Human pose estimation remains a very challenging problem • Current methods fail to effectively deal with occlusion. Contributions • A simple CNN cascade that first detects and then… (More)

Subspace Learning from Image Gradient Orientations

Georgios Tzimiropoulos, Stefanos P. Zafeiriou, Maja Pantic
IEEE Transactions on Pattern Analysis and Machine…
2012

We introduce the notion of subspace learning from image gradient orientations for appearance-based object recognition. As image data are typically noisy and noise is substantially different from… (More)

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

Aaron S. Jackson, Adrian Bulat, Vasileios Argyriou, Georgios Tzimiropoulos
IEEE International Conference on Computer Vision…
2017

3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the availability of multiple facial images (sometimes from the same subject)… (More)

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