Publications

2024

  1. Stay Focus On Object: Cross-Domain Detection using Domain-Invariant Object Representation
    Taehoon Kim, Jaemin Na,  Joong-Won Hwang, and Wonjun Hwang
    In IEEE International Conference on Image Processing (ICIP), 2024
  2. D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
    Dinh Phat Do, Taehoon Kim, Jaemin Na, Jiwon Kim, Keonho Lee, and 2 more authors
    In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  3. OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation
    Seungbeom Woo, Geonwoo Baek, Taehoon Kim, Jaemin Na, Joong-won Hwang, and 1 more author
    In arXiv preprint arXiv:2403.11537, 2024
  4. Semantic Prompting with Image-Token for Continual Learning
    Jisu Han, Jaemin Na*, and Wonjun Hwang*
    In arXiv preprint arXiv:2403.11537, 2024
  5. Bridging Domain Spaces via Vicinal Space for Unsupervised Domain Adaptation
    Jaemin Na
    In Doctoral Thesis, Ajou University, 2024

2023

  1. Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
    Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han*, and Wonjun Hwang*
    In Conference on Neural Information Processing Systems (NeurIPS), 2023
  2. SRIL: Selective Regularization for Class-Incremental Learning
    Jisu Han, Jaemin Na, and Wonjun Hwang
    In arXiv preprint arXiv:2305.05175, 2023

2022

  1. Contrastive Vicinal Space for Unsupervised Domain Adaptation
    Jaemin Na, Dongyoon Han, Hyung Jin Chang, and Wonjun Hwang
    In European Conference on Computer Vision (ECCV), 2022

2021

  1. FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
    Jaemin Na, Heechul Jung, Hyung Jin Chang, and Wonjun Hwang
    In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  2. Densely Guided Knowledge Distillation using Multiple Teacher Assistants
    Wonchul Son, Jaemin Na, Jun Yong Choi, and Wonjun Hwang
    In IEEE International Conference on Computer Vision (ICCV), 2021

2019

  1. Representation Learning for Style and Content Disentanglement with Autoencoders
    Jaemin Na, and Wonjun Hwang
    In Asian Conference on Pattern Recognition (ACPR), 2019