Pinned Repositories
BayFit
Multidimensional Ellipsoid Fitting
CircleDetection
circle detection, inscribed triangles, image processing, Hough transform
CrossModReg
CVPR24_PointSetReg
[CVPR2024 (highlight)], Nonrigid registration, unsupervised clustering analysis
DSMO.course
Data Science and Matrix Optimization course
EllipDet
Ellipse detection datasets and algorithms
EM-epsilon-
加速EM算法的两种方法，用R编写。
GraphReg
Dynamical Point Cloud Registration with Geometry-aware graph signal processing
HGMMEllFit
Robust ellipse fitting, hierarchical Gaussian mixture models (HGMM), outliers, noise.
review-deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
zikai1's Repositories
zikai1/CVPR24_PointSetReg
[CVPR2024 (highlight)], Nonrigid registration, unsupervised clustering analysis
zikai1/GraphReg
Dynamical Point Cloud Registration with Geometry-aware graph signal processing
zikai1/CrossModReg
zikai1/BayFit
Multidimensional Ellipsoid Fitting
zikai1/awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
zikai1/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
zikai1/Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
zikai1/Awesome-Document-Image-Rectification
A comprehensive list of awesome document image rectification papers.
zikai1/Awesome-Implicit-Neural-Representations-in-Medical-imaging
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
zikai1/awesome-implicit-representations
A curated list of resources on implicit neural representations.
zikai1/Baseline-Networks-MRUS
zikai1/dataset_medical
医学影像数据集列表 『An Index for Medical Imaging Datasets』
zikai1/deep-learning-dynamics-paper-list
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
zikai1/dynesty
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
zikai1/EM-em_coregistration
align a 3D data set to another
zikai1/fast_groupwise_registration
Fast Registration Of image Groups
zikai1/gmsm-matching
zikai1/homepage
zikai1/image-processing
Image processing tools, with a focus on digital preservation
zikai1/metroem
ssEM_registration
zikai1/mmflow-OpticalFlow
OpenMMLab optical flow toolbox and benchmark
zikai1/pml2-book
Probabilistic Machine Learning: Advanced Topics
zikai1/pygmtools-graph_match
A library of Python graph matching solvers.
zikai1/sdfstudio
A Unified Framework for Surface Reconstruction
zikai1/Self-Supervised-Multimodal-Shape-Matching
CVPR'23: Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
zikai1/swgmm
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
zikai1/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
zikai1/YueJiang-nj.github.io
zikai1/zikai1.github.io
homepage
zikai1/zorah.github.io
Online CV