Hyeongjun Kwon

Affiliations. Address. Contacts. Moto. Etc.

kwonhyeongjunn(2).JPG

c129 Engineering hall 3rd

Yonsei-ro, Seodaemun-gu

Seoul, Republic of Korea

My research lies in computer vision and deep learning including, but not limited to, vision-language model, few-shot learning, video grounding and its applications. I am particularly interested in large language models(LLMs).

Feb 27, 2024 A paper on visual recognition is accepted to CVPR 2024!
Oct 25, 2023 A paper on test-time adaptation is accepted to WACV 2023!
Jul 14, 2023 A paper on video grounding is accepted to ICCV 2023!
Feb 28, 2023 A paper on dense prediction is accepted to CVPR 2023!
Nov 7, 2015 A long announcement with details
  1. Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
    Junyoung Park, Jin Kim,  Hyeongjun Kwon and 1 more author
    IEEE/CVF Winter Conference on Applications of Computer Vision 2024
  2. Knowing Where to Focus: Event-aware Transformer for Video Grounding
    Jinhyun Jang, Jungin Park,  Jin Kim and 2 more authors
    IEEE/CVF International Conference on Computer Vision 2023
    Paper Code
  3. Probabilistic Prompt Learning for Dense Prediction
    Hyeongjun Kwon, Taeyong Song,  Somi Jeong and 3 more authors
    IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
  4. Mask-Guided Attention and Episode Adaptive Weights for Few-Shot Segmentation
    Hyeongjun Kwon, Taeyong Song,  Sunok Kim and 1 more author
    IEEE International Conference on Image Processing 2022