Ho-Joong Kim's Projects
2021-2 Applications and practice in neural networks [Project 2]
DCGAN Pytorch implementation
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
A data pipeline framework for machine learning
Several landmark detection algorithms, implemented in PyTorch.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
OpenMMLab Detection Toolbox and Benchmark
RetinaMask
Self Converging Generative Network.
Score-based generative model toy example
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.
Pytorch implementation of SphereGAN(Sphere Generative Adversarial Network Based on Geometric Moment Matching)
[CVPR 2024] Official implementation of the paper "TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression"