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人脸关键点检测相关文献。持续更新中~~

文章目录

  • Arxiv
  • ECCV 2020
  • CVPR 2020
  • ICCV 2019
  • CVPR 2019
  • CVPR 2018
  • ECCV 2018
  • CVPR 2017
  • ICCV 2017
  • CVPR 2016
  • ECCV 2016
  • CVPR 2015
  • CVPR 2014
  • ECCV 2014
  • IEEE 2014
  • CVPR 2013
  • ICCV 2013
  • CVPR 2012
  • ECCV 2012
  • ICCV 2011
  • 参考

Arxiv

  1. PFLD: A Practical Facial Landmark Detector — project -----code1-----code2_TF版

ECCV 2020

  1. “Look Ma, no landmarks!” - Unsupervised, model-based dense face alignment — ECCV 2020 oral — paper
  2. Towards Fast, Accurate and Stable 3D Dense Face Alignment — papper — code
  3. Structured Landmark Detection via Topology-Adapting Deep Graph Learning

CVPR 2020

  1. LUVLi：LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood —
  2. Attention-Driven Cropping for Very High Resolution Facial Landmark Detection
  3. Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation — paper
  4. 3FabRec: Fast Few-shot Face alignment by Reconstruction — code

ICCV 2019

  1. FAB：A Robust Facial Landmark Detection Framework for Motion-Blurred Videos ----- paper-----code
  2. AVS：Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation — code
  3. HG-HSLE：Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble ----- paper
  4. Teacher(TS)：Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection ----- paper-----code
  5. Laplace Landmark Localization ----- paper
  6. DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild ----- paper
  7. AWing： Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression — code
  8. KDN：Face Alignment With Kernel Density Deep Neural Network ----- paper

CVPR 2019

  1. SA：Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
  2. HRNet：Deep High-Resolution Representation Learning for Human Pose Estimation — paper
    High-Resolution Representations for Labeling Pixels and Regions — paper
  3. ODN：Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks ----- paper

CVPR 2018

  1. LAB： Look at Boundary: A Boundary-Aware Face Alignment Algorithm ----- project -----code
  2. Super-FAN： Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs ----- paper
  3. Wing：Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks ----- code
  4. SBR：Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors — paper— code
  5. SAN：Style Aggregated Network for Facial Landmark Detection — code
  6. Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network -----paper-----code
  7. RCN(L+ELT)：Improving Landmark Localization with Semi-Supervised Learning -----paper
  8. PCD-CNN：Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment — paper
  9. SeqMT：Improving Landmark Localization With Semi-Supervised Learning — paper

ECCV 2018

  1. PRNet：Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network ----- paper----- code
  2. DCFE：A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment — paper — code
  3. DU-Net：Quantized densely connected u-nets for efficient landmark localization — paper — Arxiv 链接

CVPR 2017

  1. The menpo facial landmark localisation challenge: A step towards the solution — paper
  2. TSR：A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection – paper
  3. Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion — paper
  4. Two-Stage（TSR）：A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection — paper
  5. DVLN：Leveraging intra and inter- dataset variations for robust face alignment — paper
  6. SHN：Stacked Hourglass Network for Robust Facial Landmark Localisation — paper
  7. DAN：Deep alignment network: A convolutional neural network for robust face alignment — paper

ICCV 2017

  1. Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) -----paper-----project -----code1 -----code2
  2. PIFA：Pose- invariant face alignment with a single cnn — paper
  3. RDR：Recurrent 3d- 2d dual learning for large-pose facial landmark detection — paper

CVPR 2016

  1. CJCRF：Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection —paper
  2. CPM：Convolutional Pose Machines — paper
  3. RCN：Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation — paper
  4. MDM： Mnemonic Descent Method:A recurrent process applied for end-to-end face alignment — paper
  5. DeFA：Pose-aware face recognition in the wild — paper
  6. 3DDFA：Face Alignment Across Large Poses: A 3D Solution — paper — code
  7. Occlusion-free Face Alignment: Deep Regression Networks Coupled with De-corrupt AutoEncoders — paper
  8. Large-pose Face Alignment via CNN-based Dense 3D Model Fitting — paper
  9. Unconstrained Face Alignment via Cascaded Compositional Learning — paper

ECCV 2016

  1. RAR：Robust facial land- mark detection via recurrent attentive-refinement networks — paper
  2. DDN：Deep deformation network for object landmark localization — paper — Arxiv 地址

CVPR 2015

  1. CFSS：Face Alignment by Coarse-to-Fine Shape Searching — paper
  2. cGPRT：Face Alignment using Cascade Gaussian Process Regression Trees — paper
  3. Project-Out Cascaded Regression with an application to Face Alignment — paper
  4. GSDM：Global Supervised Descent Method — paper

CVPR 2014

  1. ERT: One Millisecond Face Alignment with an Ensemble of Regression Trees ----- paper -----code
  2. LBF：Face Alignment at 3000 FPS via Regressing Local Binary Features — paper

ECCV 2014

  1. CFAN：Coarse-to-Fine Auto-Encoder Networks (CFAN)for Real-Time Face Alignment — paper
  2. TCDCN：Facial Landmark Detection by Deep Multi-task Learning — project — paper

IEEE 2014

  1. TCDCN：Learning Deep Representation for Face Alignment with Auxiliary Attributes — paper (同ECCV 2014 TCDCN)

CVPR 2013

  1. SDM：Supervised Descent Method and Its Applications to Face Alignment — paper

ICCV 2013

  1. RCPR（COFW）：Robust face landmark estimation under occlusion — paper — preject
  2. 300W：300 Faces in-the-Wild Challenge: The first facial landmark localization Challenge — paper

CVPR 2012

  1. ESR：Face Alignment by Explicit Shape Regression — paper

ECCV 2012

  1. Interactive Facial Feature Localization----paper

ICCV 2011

  1. AFLW:Annotated facial landmarks in the wild: A large-scale, realworld database for facial landmark localization — paper

参考

参考链接:https://github.com/becauseofAI/HelloFace

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