Youngtaek Oh

Room #211, N1 Bldg, KAIST.

I am currently a Ph.D. student co-advised by Prof. In So Kweon and Prof. Junmo Kim at KAIST. My research aims to effectively train deep neural networks under limited labels and data, such as long-tailed/biased labels and unlabeled data. Also, I have a broad interest in techniques for learning general representations and improving model’s robustness to distribution shifts, such as uni-/multi-modal representation learning, domain generalization, etc.

Publications

Self-Sufficient Framework for Continuous Sign Language Recognition

Youngjoon Jang, Youngtaek Oh, Jae Won Cho, Myungchul Kim, Dong-Jin Kim, In So Kweon, Joon Son Chung

In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.

BIBTEX Project PDF

@inproceedings{jang2023self,
  title = {Self-Sufficient Framework for Continuous Sign Language Recognition},
  author = {Jang, Youngjoon and Oh, Youngtaek and Cho, Jae Won and Kim, Myungchul and Kim, Dong-Jin and Kweon, In So and Chung, Joon Son},
  booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  year = {2023}
}

Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition

Youngjoon Jang, Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, Joon Son Chung, In So Kweon

In British Machine Vision Conference (BMVC), 2022.

BIBTEX Project PDF Code

@inproceedings{jang2022signing,
  title = {Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition},
  author = {Jang, Youngjoon and Oh, Youngtaek and Cho, Jae Won and Kim, Dong-Jin and Chung, Joon Son and Kweon, In So},
  booktitle = {British Machine Vision Conference (BMVC)},
  year = {2022}
}

DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning

Youngtaek Oh, Dong-Jin Kim, In So Kweon

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

BIBTEX Project arXiv PDF Code

@inproceedings{oh2022daso,
  title = {DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning},
  author = {Oh, Youngtaek and Kim, Dong-Jin and Kweon, In So},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {9786--9796},
  year = {2022}
}

KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing

Soomin Ham, Kibaek Park, Youngjoon Jang, Youngtaek Oh, Seokmin Yun, Sukwon Yoon, Chang Jo Kim, Han-Mu Park, In So Kweon

In International Conference on Automatic Face and Gesture Recognition (FG), 2021.

BIBTEX HTML Code Website

@inproceedings{ham2021ksl,
  title = {KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing},
  author = {Ham, Soomin and Park, Kibaek and Jang, Youngjoon and Oh, Youngtaek and Yun, Seokmin and Yoon, Sukwon and Kim, Chang Jo and Park, Han-Mu and Kweon, In So},
  booktitle = {International Conference on Automatic Face and Gesture Recognition (FG)},
  pages = {1--8},
  year = {2021},
  organization = {IEEE}
}

SideGuide: A Large-scale Sidewalk Dataset for Guiding Impaired People

{Kibaek Park, Youngtaek Oh, Soomin Ham, Kyungdon Joo}*, Hyokyoung Kim, Hyoyoung Kum, In So Kweon (*: equal contributions)

In International Conference on Intelligent Robots and Systems (IROS), 2020.

BIBTEX HTML PDF Code Website

@inproceedings{park2020sideguide,
  title = {SideGuide: A Large-scale Sidewalk Dataset for Guiding Impaired People},
  author = {Park, Kibaek and Oh, Youngtaek and Ham, Soomin and Joo, Kyungdon and Kim, Hyokyoung and Kum, Hyoyoung and Kweon, In So},
  booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
  pages = {10022--10029},
  year = {2020},
  organization = {IEEE}
}