lwannnn's starred repositories
LearningFractals
Cheng-Hao Tu*, Hong-You Chen*, David Carlyn and Wei-Lun Chao, "Learning Fractals by Gradient Descent," in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
kandinsky-calibration
Kandinsky conformal prediction for image segmentation algorithms
PythonResearchPaperPlot
Python科研论文配图绘制指南配套资料
JigsawClustering
This is the code for CVPR 2021 oral paper: Jigsaw Clustering for Unsupervised Visual Representation Learning
research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
VQGAN-pytorch
Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)
easyrobust
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
TeraStitcher
A tool for fast automatic 3D-stitching of teravoxel-sized microscopy images
py-hausdorff
Fast computation of Hausdorff distance in Python
metrics_delin
Leonardo Citraro, Mateusz Kozinski, Pascal Fua, Towards Reliable Evaluation of Road Network Reconstructions, ECCV 2020
ChasingClouds
Code, models and dataset for ICCV 2023 (oral) paper on differentiable volumetric rasterisation of point clouds for 3D registration
PyTorchEMD
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
BAGCN-Covid19
MedIA 2023: code for 'Bilateral Adaptive Graph Convolutional Network on CT based COVID-19 Diagnosis with Uncertainty-Aware Consensus-Assisted Multiple Instance Learning Medical Image Analysis'
GTOT-Tuning
Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"