FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D
Facial Animation

FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

2 April 2019

Jian Xue

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Papers citing "FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation"

6 / 6 papers shown

Title
Face2Face: Real-time Face Capture and Reenactment of RGB Videos Justus Thies Michael Zollhöfer Marc Stamminger Christian Theobalt Matthias Nießner 3DH PICV CVBM 68 1,919 0 29 Jul 2020
Deep Structured Learning for Facial Action Unit Intensity Estimation R. Walecki Ognjen Rudovic Rudovic Vladimir Pavlovic Björn Schuller Maja Pantic CVBM 53 122 0 14 Apr 2017
Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing Wei Li Farnaz Abtahi Zhigang Zhu 38 156 0 10 Apr 2017
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 494 43,698 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 280 14,715 0 20 Jun 2014