Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
action-sets
Code for the paper Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
DP_GAN
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis (BMVC2022)
homepage_old
Shijie Li's Homepage
MINet
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)
MS-TCN2
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation (TPAMI 2020)
PR-GCN
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition(RA-L with ICRA 2021)
StereoNet
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018
UnpNet
Rethinking 3-D LiDAR Point Cloud Segmentation(IEEE TNNLS)
sj-li's Repositories
sj-li/3D-Machine-Learning
A resource repository for 3D machine learning
sj-li/action-sets
Code for the paper Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints
sj-li/anticipating-activities
sj-li/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
sj-li/awesome_3DReconstruction_list
A curated list of papers & ressources linked to 3D reconstruction from images.
sj-li/CSPN_monodepth
PyTorch implementation of Convolutional Spatial Propagation Network
sj-li/DenseASPP
DenseASPP for Semantic Segmentation in Street Scenes
sj-li/DepthNet
PyTorch DepthNet Training on Still Box dataset
sj-li/LLib
sj-li/Open3D
Open3D: A Modern Library for 3D Data Processing
sj-li/PoseFlow
PoseFlow: Efficient Online Pose Tracking (BMVC'18)
sj-li/pytorch-cpn
A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
sj-li/stb
stb single-file public domain libraries for C/C++
sj-li/StructuredAttentionDepthEstimation_pytorch
PyTorch implementation of Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation