Junyu Gao

Awesome-Crowd-Counting. Awesome Crowd Counting

C-3-Framework. An open-source PyTorch code for crowd counting

NWPU-Crowd-Sample-Code. The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

PCC-Net. PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

GCC-SFCN. This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

GCC-CL. GCC dataset Collector and Labeler (GCC CL) [CVPR2019]

NWPU-Crowd-Sample-Code-for-Localization. Crowd Localization

WSAL_released. The code for "Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes (TIP2019)"

enet.pytorch. This repository is a PyTorch implementation of ENet.

SCAR. The code for "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting"

DACC. Domain-Adaptive Crowd Counting

pytorch-semantic-segmentation. PyTorch for Semantic Segmentation

graph-cnn.pytorch. Pytorch Implementation for Graph Convolutional Neural Networks

MVSNet. MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

vision. Datasets, Transforms and Models specific to Computer Vision

gjy3035.github.io. 个人博客

caffe-tools-tolmdb. Python