Shijie Li's Projects
A resource repository for 3D machine learning
Code for the paper Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
A curated list of action recognition and related area resources
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
A collection of awesome resources in Human Pose estimation.
This repo is the collection of the challenging panoptic segmentation, including papers and codes.
A list of papers and datasets about point cloud analysis (processing)
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
A curated list of papers & ressources linked to 3D reconstruction from images.
PyTorch implementation of Convolutional Spatial Propagation Network
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (Nov. 2020) :fire::fire:
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
A collection of various deep learning architectures, models, and tips
DenseASPP for Semantic Segmentation in Street Scenes
PyTorch DepthNet Training on Still Box dataset
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis (BMVC2022)
Dense Prediction Transformers
Efficient Methods for 3D Deep Learning
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
Shijie Li's Homepage
Inception Score for GANs in Pytorch
PyTorch library aimed at accelerating 3D deep learning research
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving