• Publications
  • Influence
300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge
Automatic facial point detection plays arguably the most important role in face analysis. Several methods have been proposed which reported their results on databases of both constrained andExpand
  • 634
  • 86
How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)
This paper investigates how far a very deep neural network is from attaining close to saturating performance on existing 2D and 3D face alignment datasets. To this end, we make the following 5Expand
  • 393
  • 78
The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results
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 detectionExpand
  • 202
  • 42
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
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)Expand
  • 196
  • 35
Project-Out Cascaded Regression with an application to face alignment
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 beenExpand
  • 180
  • 30
A Semi-automatic Methodology for Facial Landmark Annotation
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 ofExpand
  • 301
  • 27
Optimization Problems for Fast AAM Fitting in-the-Wild
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 formulationExpand
  • 218
  • 27
Human Pose Estimation via Convolutional Part Heatmap Regression
This paper is on human pose estimation using Convolutional Neural Networks. Our main contribution is a CNN cascaded architecture specifically designed for learning part relationships and spatialExpand
  • 292
  • 23
300 Faces In-The-Wild Challenge: database and results
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 andExpand
  • 322
  • 22
Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild
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.Expand
  • 202
  • 21