Skip to main content

3 Result(s)

within Jungseul Ok Remove this filter

and

  1. Article

    Open Access

    Optimal clustering from noisy binary feedback

    We study the problem of clustering a set of items from binary user feedback. Such a problem arises in crowdsourcing platforms solving large-scale labeling tasks with minimal effort put on the users. For exampl...

    Kaito Ariu, Jungseul Ok, Alexandre Proutiere, Seyoung Yun in Machine Learning (2024)

    Download PDF (2730 KB) View Article

  2. No Access

    Chapter and Conference Paper

    Towards Sequence-Level Training for Visual Tracking

    Despite the extensive adoption of machine learning on the task of visual object tracking, recent learning-based approaches have largely overlooked the fact that visual tracking is a sequence-level task in its ...

    Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han… in Computer Vision – ECCV 2022 (2022)

  3. No Access

    Chapter and Conference Paper

    Combating Label Distribution Shift for Active Domain Adaptation

    We consider the problem of active domain adaptation (ADA) to unlabeled target data, of which subset is actively selected and labeled given a budget constraint. Inspired by recent analysis on a critical issue f...

    Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok… in Computer Vision – ECCV 2022 (2022)