Heeseung Yun

heeseung dot yun at vision.snu.ac.kr

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Hi! I’m Heeseung Yun, a Ph.D. student at Seoul National University Vision and Learning Lab, working with Prof. Gunhee Kim. My research goal is to build an intelligent system that can comprehend and interact with multimodal surroundings via omnidirectional perception. I’m generally interested in video representation learning, vision-and-language, scene understanding, virtual reality, and geometric deep learning.

Here is my Curriculum Vitae.

I’m looking for an international research internship starting in early 2023.

selected publications

  1. Multimodal Knowledge Alignment with Reinforcement Learning
    Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, JaeSung Park, and 6 more authors
    arXiv:2205.12630 2022
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  2. Panoramic Vision Transformer for Saliency Detection in 360° Videos ✨
    Heeseung Yun, Sehun Lee, and Gunhee Kim
    In European Conference on Computer Vision (ECCV) 2022
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  3. Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos
    Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, and Gunhee Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2021
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  4. Transitional Adaptation of Pretrained Models for Visual Storytelling
    Youngjae Yu, Jiwan Chung, Heeseung Yun, Jongseok Kim, and Gunhee Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
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  5. Character Grounding and Re-identification in Story of Videos and Text Descriptions
    Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, and Gunhee Kim
    In European Conference on Computer Vision (ECCV) 2020
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