Stars
[ECCV 2022] An End-to-End Transformer Model for Crowd Localization
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
[IEEE TMM 23] Focal Inverse Distance Transform Maps for Crowd Localization
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
An interactive corn plant point cloud segmentation and annotation software (version 2.0)
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
My own (unofficial) implementation of the Point Transformer Network, currently for classification tasks.