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Combining Data-driven and Model-driven Methods for Robust Facial
  Landmark Detection

Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection

30 November 2016
Hongwen Zhang
Qi Li
Zhenan Sun
Yunfan Liu
    CVBM
ArXivPDFHTML

Papers citing "Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection"

4 / 4 papers shown
Title
FaceXFormer: A Unified Transformer for Facial Analysis
FaceXFormer: A Unified Transformer for Facial Analysis
Kartik Narayan
VS Vibashan
Rama Chellappa
Vishal M. Patel
ViT
68
13
0
19 Mar 2024
Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network
  Approach in Unconstrained Poses
Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses
Chandrasekhar Bhagavatula
Chenchen Zhu
Khoa Luu
Marios Savvides
CVBM
30
120
0
18 Jul 2017
How far are we from solving the 2D & 3D Face Alignment problem? (and a
  dataset of 230,000 3D facial landmarks)
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat
Georgios Tzimiropoulos
3DH
CVBM
3DV
82
1,474
0
21 Mar 2017
Joint Training of a Convolutional Network and a Graphical Model for
  Human Pose Estimation
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Jonathan Tompson
Arjun Jain
Yann LeCun
C. Bregler
3DH
97
1,536
0
11 Jun 2014
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