OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

Memory consumption and FLOP count estimates for convnets

Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

A simple yet effective loss function for face verification.

The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learni…

An Experimental Implementation of Face Verification, 96.8% on LFW.

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Some scripts to process face datasets.

Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017

Matlab implementation of facial landmark detection by deep multi-task learning

MR-CNNs for Large-Scale Scene Recognition