Kowalski, M.; Naruniec, J.; Trzcinski, T.: "Deep Alignment Network: A convolutional neural network for robust face alignment", CVPRW 2017 While the code is licensed under the MIT license, which allows for commercial use, keep in mind that the models linked above were trained on the 300-...
In this work we present a face alignment pipeline based on two novel methods: weighted splitting for K-cluster Regression Forests and 3D Affine Pose Regression for face shape initialization. Our face alignment method is based on the Local Binary Feature framework, where instead of standard regressio...
[人脸活体检测] 论文:Learn Convolutional Neural Network for Face Anti-Spoofing 论文简介 这是最早期CNN用于活体检测的文章,在此之前都是手动提取特征,文章采用了人脸检测预处理,多尺度人脸增强,时域人脸图像增强等技术训练了一个分类网络。 文章引用量:100+ 推荐指数:✦✦✦✧✧ [1] Yang J, Lei Z,...
将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解. Contribute to XJTUeducation/AlphaTree-graphic-deep-neural-network development by creating an account on GitHub.
A method includes receiving a facial image; receiving a facial image; and obtaining, using a multi-task convolutional neural network, a detected face location and a facial characteristic category set of a plurality of first facial characteristic categories; selecting a first face alignment model from...
A Light CNN for Deep Face Representation with Noisy Labels The volume of convolutional neural network (CNN) models proposed for face recognition has been continuously growing larger to better fit large amount of tr... X Wu,R He,Z Sun,... - 《IEEE Transactions on Information Forensics & ...
Our proposed RNNs, which are called a Long-Short Term Memory Recurrent Neural Tensor Network (LSTMRNTN) and Gated Recurrent Unit Recurrent Neural Tensor Network (GRURNTN), are made by combining the LSTM and GRU RNN models with the tensor product. We conducted experiments with our proposed ...
Large-pose face alignment via CNN-based dense 3D model fitting [1] propose a face alignment method for large-pose face images, by combining the cascaded CNN method and 3D Morphable Model, in which CNN is a regression network that can be learned by creating a high-level structure from a lo...
For grayscale images, we took the mean over the original three color channels. Network and training details We simulated our models in a TensorFlow framework, using built-in functions whenever possible. Since some of the convolutional kernels and PSFs we tried to optimize were much larger than ...
Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network - fengju514/Face-Pose-Net