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

Squeeze-and-Excitation Networks

Causal depthwise conv1d in CUDA, with a PyTorch interface

PyTorch implementation of Deformable Convolution

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

Simultaneous Fidelity and Regularization Learning for Image Restoration (TPAMI 2019)

CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.