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The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Deformable ConvNets V2 (DCNv2) in PyTorch
Efficient GPU kernels for block-sparse matrix multiplication and convolution
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
Distribution-Aware Coordinate Representation for Human Pose Estimation
PyTorch implementation of Deformable Convolution
Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda
Deforming kernels to adapt towards object deformation. In ICLR 2020.
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade