lishuwei10's starred repositories
AI-Paper-Collector
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
PoseFormer
The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".
frankmocap
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
pytorch-cifar10
Training model architectures like VGG16, GoogLeNet, DenseNet etc on CIFAR-10 dataset
easy-faster-rcnn.pytorch
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
CenterNet-better-plus
centernet
unofficial-implement-of-openpose
Implement of Openpose use Tensorflow
Face_Recognition_using_pytorch
Using MTCNN and MobileFaceNet on Face Recognition
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
SENet-Tensorflow
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
DE1_SOC_PedestrianDetection
FPGA Design for pedestrian detection system, implemented on Terasic De1-SoC development board and D8M Camera Kit
pytorch-nested-unet
PyTorch implementation of UNet++ (Nested U-Net).
UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
PRML_learning
learning fomula
Fast-Portrait-Segmentation
The MNN base implementation of SINet for CPU realtime portrait segmentation
Lightweight-Segmentation
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
channel_prune
Base to channel pruned to ResNet18 model
Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
HigherHRNet-Human-Pose-Estimation
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
crossview_3d_pose_tracking
Dataset of the paper "Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS"