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  • PRML Lab at Korea Univ.
  • Seoul

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Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: StarstruckAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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Dotori-HJ/README.md

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 CV

📚 Publications

Here are my recent publications.

  • Ho-Joong Kim, Jung-Ho Hong, Heejo Kong, and Seong-Whan Lee, "TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression," CVPR, 2024. [paper] [code]

  • Yearang Lee, Ho-Joong Kim, and Seong-Whan Lee, "Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection," NeurIPS, 2024. [paper] [code]

  • Heejo Kong, Suneung Kim, Ho-Joong Kim, and Seong-Whan Lee, "Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data," AAAI, 2024. [paper] [code]

You can find more my publications on my Google Scholar.

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  1. TE-TAD TE-TAD Public

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

    Python 15 1

  2. SelfOrganizingMap-SOM SelfOrganizingMap-SOM Public

    Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.

    Python 44 11

  3. SphereGAN-Pytorch-implementation SphereGAN-Pytorch-implementation Public

    Pytorch implementation of SphereGAN(Sphere Generative Adversarial Network Based on Geometric Moment Matching)

    Python 15 1