Pinned Repositories
Awesome-Crowd-Counting
Awesome Crowd Counting
caffe-android-demo
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
caffe-android-lib
Porting caffe to android platform
Context-Aware-Crowd-Counting
Official Code for Context-Aware Crowd Counting. CVPR 2019
Cross-Domain-Crowd-Counting
Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)
foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
NeuSDFusion
People-Flows
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
VanillaCNN
Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l
VAVA
Code for the paper "Learning to Align Sequential Actions in the Wild"(CVPR 2022)
weizheliu's Repositories
weizheliu/Context-Aware-Crowd-Counting
Official Code for Context-Aware Crowd Counting. CVPR 2019
weizheliu/People-Flows
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
weizheliu/Cross-Domain-Crowd-Counting
Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)
weizheliu/VAVA
Code for the paper "Learning to Align Sequential Actions in the Wild"(CVPR 2022)
weizheliu/Awesome-Crowd-Counting
Awesome Crowd Counting
weizheliu/caffe-android-demo
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
weizheliu/caffe-android-lib
Porting caffe to android platform
weizheliu/foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
weizheliu/NeuSDFusion
weizheliu/VanillaCNN
Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l
weizheliu/weizheliu.github.io
Homepage of Weizhe Liu