Synthetic Expressions are Better Than Real for Learning to Detect Facial
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Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions

21 October 2020

Koichiro Niinuma

Itir Onal Ertugrul

László A. Jeni

Papers citing "Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions"

11 / 11 papers shown

Title
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition Nargiz Humbatova Gunel Jahangirova Vincenzo Riccio Xilin Chen CVBM 37 79 0 24 Oct 2019
Region Based Adversarial Synthesis of Facial Action Units Zhilei Liu Diyi Liu Yunpeng Wu GAN CVBM 43 14 0 23 Oct 2019
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace D. Kollias Stefanos Zafeiriou CVBM 72 346 0 25 Sep 2019
3D Guided Fine-Grained Face Manipulation Z. Geng Chen Cao Sergey Tulyakov CVBM 3DH 74 99 0 24 Feb 2019
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network Yao Feng Fan Wu Xiaohu Shao Yanfeng Wang Xi Zhou 3DV 3DH 63 692 0 21 Mar 2018
Geometry-Contrastive GAN for Facial Expression Transfer Fengchun Qiao Nai-Ming Yao Zirui Jiao Zhihao Li Hui Chen Hongan Wang CVBM GAN 99 51 0 06 Feb 2018
Geometry Guided Adversarial Facial Expression Synthesis Lingxiao Song Zhihe Lu Ran He Zhenan Sun Tieniu Tan GAN CVBM 64 155 0 10 Dec 2017
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation Yunjey Choi Min-Je Choi M. Kim Jung-Woo Ha Sunghun Kim Jaegul Choo GAN 121 3,553 0 24 Nov 2017
ExprGAN: Facial Expression Editing with Controllable Expression Intensity Hui Ding K. Sricharan Rama Chellappa GAN CVBM 71 197 0 12 Sep 2017
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge Michel Valstar Enrique Sánchez-Lozano J. Cohn László A. Jeni J. Girard Zheng Zhang L. Yin Maja Pantic CVBM 34 125 0 14 Feb 2017
EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection Wei Li Farnaz Abtahi Zhigang Zhu L. Yin 27 124 0 09 Feb 2017

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