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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, Yearang Lee, Jung-Ho Hong, and Seong-Whan Lee, "DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer," CVPR, 2025. [paper] [code]

  • Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon, and Seong-Whan Lee, "Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers," CVPR, 2025. [paper] [code]

  • 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.

Pinned Loading

  1. DiGIT Public

    [CVPR 2025] Official implementation of the paper "DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer"

    7

  2. 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 19 1

  3. SelfOrganizingMap-SOM Public

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

    Python 44 11

  4. SphereGAN-Pytorch-implementation Public

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

    Python 15 1