liuzhanfeng123

ACSCP_cGAN

Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks

Awesome-Crowd-Counting

Awesome Crowd Counting

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

GCC-CL

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

GCC-SFCN

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

helloworld

Online_Adaptive_Multi-Object_Tracking

Online multi-object tracking - C++

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pix2pix-tensorflow-1

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

tutorials

机器学习相关教程

liuzhanfeng123/Awesome-Crowd-Counting

Awesome Crowd Counting

liuzhanfeng123/pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

liuzhanfeng123/ACSCP_cGAN

Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks

liuzhanfeng123/crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

liuzhanfeng123/GCC-CL

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

liuzhanfeng123/GCC-SFCN

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

liuzhanfeng123/helloworld

liuzhanfeng123/Online_Adaptive_Multi-Object_Tracking

Online multi-object tracking - C++

liuzhanfeng123/pix2pix-tensorflow-1

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

liuzhanfeng123/tutorials

机器学习相关教程