Pinned Repositories
2s-CNN
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AutoLink-Self-supervised-Learning-of-Human-Skeletons-and-Object-Outlines-by-Linking-Keypoints
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
detr
End-to-End Object Detection with Transformers
entity2rec
entity2rec generates item recommendation from knowledge graphs
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
GeoHOI
SGCN4HOI
SGCN4HOI: A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection
zhumanli's Repositories
zhumanli/SGCN4HOI
SGCN4HOI: A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection
zhumanli/2s-CNN
zhumanli/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
zhumanli/AutoLink-Self-supervised-Learning-of-Human-Skeletons-and-Object-Outlines-by-Linking-Keypoints
zhumanli/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
zhumanli/detr
End-to-End Object Detection with Transformers
zhumanli/entity2rec
entity2rec generates item recommendation from knowledge graphs
zhumanli/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
zhumanli/GeoHOI
zhumanli/HOI-Learning-List
A list of Human-Object Interaction Learning.
zhumanli/KeypointsToLandmarks
Code for paper From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery.
zhumanli/Machine-Learning-AndrewNg-DeepLearning.AI
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
zhumanli/OUCML
zhumanli/qpic
Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"
zhumanli/shap
A game theoretic approach to explain the output of any machine learning model.
zhumanli/STIP
Code for CVPR22 paper: Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection.
zhumanli/UniPointNet
zhumanli/unsupervised-disentangling
zhumanli/WALT
[CVPR 2022] WALT: Watch And Learn 2D amodal representation from Time-lapse imagery