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Paper notes for face related analysis using deep learning
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Paper notes for face related analysis using deep learning

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* paper_notes
#+BEGIN_QUOTE
Paper notes for face related analysis using deep learning.
The more stars, the more recommended.
#+END_QUOTE

** To be read
- HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
- Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [[https://github.com/HRLTY/TP-GAN][TensorFlow]] (face frontalization)

** Face related analysis
*** Face embedding for face recognition

- [[./papers/FaceNet_A_Unified_Embedding_for_Face_Recognition_and_Clustering.org][FaceNet: A Unified Embedding for Face Recognition and Clustering]] *****
- [[./papers/Triplet_similarity_embedding_for_face_verification.org][Triplet Similarity Embedding For Face Verification]] ***
- [[./papers/SphereFace_Deep_Hypersphere_Embedding_for_Face_Recognition.org][SphereFace: Deep Hypersphere Embedding for Face Recognition]] *****
- [[./papers/Deep_Face_Recognition.org][Deep Face Recognition]] ****
- [[./papers/A_Light_CNN_for_Deep_Face_Representation_with_Noisy_Labels.org][A Light CNN for Deep Face Representation with Noisy Labels]]
- [[./papers/Disguise_Face_Identification_with_Facial_KeyPoints_using_Spatial_Fusion_Convolutional_Network.org][Disguised Face Identification with Facial KeyPoints using Spatial Fusion Convolutional Network]]
- [[./papers/Learning_Face_Representation_from_Scratch.org][Learning Face Representation from Scratch]]
- [[./papers/normface_l2_hypersphere_embedding_for_face_verification.org][NormFace L_2 Hypersphere Embedding for Face Verification]]
- [[./papers/MobileFaceNets_Efficient_CNNs_for_Accurate_Real_Time_Face_Verification_on_Mobile_Devices.org][MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices]]

*** Face Detection and Alignment
- [[./papers/How_far_are_we_from_solving_2d_and_3d_Face_Alignment_problem.org][How far are we from solving 2d & 3d Face Alignment Problems]]
- [[./papers/joint_face_detection_and_alignment_using_Multi-task_Cascaded_Convolutional_Networks.org][joint face detection and alignment using using Multi-task Cascaded Convolutional Networks]] ****

*** Multi Task Face Learning
- [[./papers/An_ALL-In-One_Convolutional_Neural_network_for_Face_Analysis.org][An All-In-One Convolutional Neural Network for Face Analysis]] ****

*** Age Estimation
- [[./papers/Deep_Convolutioal_Neural_Network_for_Age_Estimation_based_on_VGG-Face_Model.org][Deep Convolutional Neural Network for Age Estimation based on VGG-Face Mode]] ****
- [[./papers/Apparent_Age_Estimation_Using_Ensemble_of_Deep_Learning_Models.org][Apparent Age Estimation Using Ensemble of Deep Learning Models]] **
- [[./papers/ordinal_regression_with_multiple_output_cnn_for_age_estimation.org][Ordinal Regression with Multiple Output CNN for Age Estimation]] ***
- [[./papers/mean_variance_loss_for_deep_age_estimation_from_a_face.org][Mean-Variance Loss for Deep Age Estimation from A Face]] ****

*** Pose Estimation
- [[./papers/fine_grained_head_pose_estimation_without_keypoints.org][Fine-Grained Head Pose Estimation Without Keypoints]]

*** Evaluation Metrics
- [[./papers/Description_of_Metrics_For_the_Evaluation_of_Biometric_Performance.org][Description of Metrics For the Evaluation of Biometric Performance]]

** Neural Networks
*** General Tricks of neural network
- [[./papers/Instance_Normalization_The_Missing_Ingredient_for_Fast_Stylization.org][Instance Normalization: The Missing Ingredient for Fast Stylization]] ****

** Generative Adversarial Networks
*** Face Completion
[[./paper_notes/papers/High_Resolution_Face_Completino_with_Multiple_Controllable_Attributes_via_Fullly_e2e_Progressive_GAN.org][High Resolution Face Completion with Multiple Controllable A ributes via Fully End-to-End Progressive Generative Adversarial Networks ]]

*** Face Pose Generation
[[./papers/disentagled_representation_learning_gan_for_pose-invariant_face_recognition.org][Disentangled Representation Learning GAN for Pose-Invariant Face Recognition]]
[[./papers/crgan_learning_complete_representations_for_multi_view_generation.org][CR-GAN: Learning complete representations for multi-view generation]]

*** General GAN
- [[./papers/wasserstein_gan.org][wasserstein gan]]
- [[./papers/improved_training_of_wasserstein_gans.org][improved training of wasserstein gans]]
- [[./papers/Improving_the_Improved_Training_of_Wasserstein_GANs_A_Consistency_Term_and_Its_Dual_Effect.org][Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect]]

** Datasets
- [[http://vis-www.cs.umass.edu/lfw/][LFW]]
- [[http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html][CelebA]]
- [[http://www.umdfaces.io/][UMDFaces]] 367,888 face annotations for 8,277 subjects in the still parts, for video frames, over 3.7 million over 22, 000 videos of 3100 subjects. Provides bounding boxes and the estimated pose.
- [[http://www.robots.ox.ac.uk/~vgg/data/vgg_face2/][VGG_Face2]]
- [[https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/][IMDB-Wiki]] Datasets with age information, about half million images.
- [[http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html][CASIA]] About 40K images
- [[https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/][AFLW]] Annotated Facial Landmarks in the Wild
- [[http://megaface.cs.washington.edu/][MegaFace]]
- [[http://chalearnlap.cvc.uab.es/dataset/26/description/][APPA-REAL]] 7591 images with age annotated
- [[https://www.cs.tau.ac.il/~wolf/ytfaces/][YTF]]
- [[http://bcsiriuschen.github.io/CARC/][CARC cross-age face recognition]]

** Conferences & Transcations
- CVPR: Computer Vision and Pattern Recognition
- ICCV: International Conference on Computer Vision
- ECCV
- FG
- ICML
- BMVC: British Machine Vision Conference