Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Sample codes for my CUDA programming book

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

Using TensorRT for Inference Model Deployment.