QinghaiZheng's repositories
2021-CVPR-Completer
PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)
2022-TPAMI-DCP
PyTorch implementation for Dual Contrastive Prediction for Incomplete Multi-view Representation Learning (TPAMI'22)
A-Long-Tailed-Survey
本项目是 Deep Long-Tailed Learning: A Survey 文章的中译版
Awesome-Information-Bottleneck
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
CVPR22-IMVC-CBG
code for CVPR22-IMVC-CBG
DRAM-MLR
Implementation of "Predicting Label Distribution from Multi-label Ranking"
DRAM-TMLR
Implementation of "Predicting Label Distribution from Tie-Allowed Multi-Label Ranking"
FastMICE
Matlab code for the TKDE 2023 paper "Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity".
GreenPepper
各大高校避坑
HPNC
Hyperspherical Prototype Node Clustering
ICCV-2023-Papers
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
Lp-TNN
A Robust Low-Rank Matrix Completion Based on Truncated Nuclear Norm and Lp-norm
NeurIPS22-FMVACC
Introduction and related code for our NeurIPS22 paper ‘ Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences’
NN-TRPCA
CVIU | Tensor Robust PCA with Nonconvex and Nonlocal Regularization
PIMVC
Projective Incomplete Multi-view Clustering
qinghai-zheng.github.io
Zheng Qinghai's Homepage
RDA
Code and Appendix for "Imbalanced Label Distribution Learning" in AAAI 2023.
SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Survey_IMC
This is a comprehensive survey of incompate multi-view clustering algorithms.
TLC
PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)
TMC
The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]
TNNR
Python implementation of "Matrix Completion by Truncated Nuclear Norm Regularization" by Zhang et al. Both the alternating direction method of multipliers (ADMM) and accelerated proximal gradient line search method (APGL) are implemented.
TPAMI2020-TruncatedRPCA
Code: TPAMI2020-Truncated Robust Principle Component Analysis with A General Optimization Framework"
UDBGL
Matlab code for the TNNLS 2023 paper "Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning".
uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization