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Hello, I'm Ho-Joong Kim 👋

I am a Ph.D. student in the Department of Artificial Intelligence at Korea University. My research interests include computer vision and deep learning, especially in the field of video understanding and temporal action detection.

Google Scholar

Languages or Tools

  • C/C++
  • Python
  • OpenCV
  • Pytorch

Ho-Joong's GitHub stats

Ho-Joong Kim's Projects

avatargan icon avatargan

2021-2 Applications and practice in neural networks [Project 2]

deep-bci icon deep-bci

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

fuel icon fuel

A data pipeline framework for machine learning

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

score_sde_pytorch icon score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

te-tad icon te-tad

[CVPR 2024] Official implementation of the paper "TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression"

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