Publications

2023

  1. Active Learning for Semantic Segmentation with Multi-class Label Query
    Sehyun Hwang,  Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, and Suha Kwak
    Conference on Neural Information Processing Systems (NeurIPS), 2023
  2. Human Pose Estimation in Extremely Low-Light Conditions
    Sohyun Lee*, Jaesung Rim*, Boseung Jeong, Geonu Kim, ByungJu Woo, Haechan Lee, Sunghyun Cho, and Suha Kwak (*equal contribution)
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

2022

  1. Combating Label Distribution Shift for Active Domain Adaptation
    Sehyun Hwang,  Sohyun Lee, Sungyeon Kim, Jungseul Ok, and Suha Kwak
    European Conference on Computer Vision (ECCV), 2022
    Qualcomm Innovation Fellowship Winner
  2. FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
    Sohyun Lee, Taeyoung Son, and Suha Kwak
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    (Best Paper Finalist, Oral Presentation)
    Invited paper talk at V4AS Workshop @ CVPR 2022
    Qualcomm Innovation Fellowship Winner
  3. Style Neophile: Constantly Seeking Novel Styles for Domain Generalization
    Juwon Kang,  Sohyun Lee, Namyup Kim, and Suha Kwak
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Qualcomm Innovation Fellowship Winner