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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.

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** 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