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 endow intelligent systems with multisensory, omnidirectional perception for reasoning or interaction as humans effortlessly do in ther daily lives. I’m generally interested in multimodal representation learning, video understanding, and geometric deep learning.

Here is my Curriculum Vitae.

selected publications

  1. Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation
    Heeseung YunJoonil Na, and Gunhee Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023
  2. Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning
    Youngjae YuJiwan ChungHeeseung YunJack HesselJaeSung Park, and 6 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
  3. Panoramic Vision Transformer for Saliency Detection in 360° Videos ✨
    Heeseung YunSehun Lee, and Gunhee Kim
    In European Conference on Computer Vision (ECCV) 2022
  4. Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos
    Heeseung YunYoungjae Yu, Wonsuk Yang, Kangil Lee, and Gunhee Kim
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2021
  5. Transitional Adaptation of Pretrained Models for Visual Storytelling
    Youngjae YuJiwan ChungHeeseung YunJongseok Kim, and Gunhee Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
  6. Character Grounding and Re-identification in Story of Videos and Text Descriptions
    Youngjae YuJongseok KimHeeseung YunJiwan Chung, and Gunhee Kim
    In European Conference on Computer Vision (ECCV) 2020

trivia

How to pronounce my firstname: Hissing without second i ( [ hísŋ ] )
(Simpler way: A song that he sung)