Jie Zhang

Predict facial landmarks with Deep CNNs powered by Caffe.

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C++ implementation of Face Alignment at 3000 FPS via Regressing Local Binary Features

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C++ implementation of Joint Cascade Face Detection and Alignment.

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Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

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Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

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mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.

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Caffe Loss Layer for Ordinal Regression with Multiple Output CNN for Age Estimation.

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detect facial landmark with mini-caffe

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