Jiang Kai's Projects
Anomaly detection in hyperspectral images by abundance- and dictionary-based low-rank decomposition (ADLR)
Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
Hyperspectral image Target Detection based on Sparse Representation
Invert a pre-trained GAN model (includes code for training a GAN on celebA)
Image_Filtering_Edge_Detection_Morphology_Demo
Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection (AAAI2021)
Unsupervised spectral unmixing by minimum-volume-constrained non-negative matrix factorization (MVC-NMF)
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Chirp scaling algorithm for SAR Imaging
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Quickly bring up your PyTorch project(a skeleton)