Hongje Seong

hongjeseong.jpg

📧 hjseong [at] yonsei.ac.kr

📍 C607, 3rd Eng. Bldg, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea, 03722

CV | Google Scholar | Github

Ph. D. Candidate, Yonsei University.

I am a Ph.D. student advised by Professor Euntai Kim, at Electrical and Electronic Engineering, Yonsei University. I earned my B.S. degree in Electrical and Electronic Engineering from Yonsei University in 2018. I was a research intern at Adobe Research (San Jose, CA) in 2021. During my internship, I worked at the Creative Intelligence Lab with Joon-Young Lee, Seoung Wug Oh, and Brian Price as my mentors.

I am broadly interested in computer vision. Specifically, my research interests include

  • Image / Video Segmentation
  • Image / Video Matting
  • Image / Video Recognition
  • Domain Adaptation / Generalization
  • Image Retrieval / Place Recognition
but not limited to.

selected publications

  1. One-Trimap Video Matting
    Hongje Seong, Seoung Wug Oh, Brian Price, Euntai Kim, and Joon-Young Lee
    European Conference on Computer Vision (ECCV), Oct, 2022
    (Acceptance: 1650/5803 ≈ 28.4%)
    arXiv Code Video
  2. Video Object Segmentation using Kernelized Memory Network with Multiple Kernels
    Hongje Seong, Junhyuk Hyun, and Euntai Kim
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 (Accepted)
    (IF: 24.314 in JCR2021)
    Page
  3. Indoor Place Category Recognition for a Cleaning Robot by Fusing a Probabilistic Approach and Deep Learning
    Soowook Choe*,  Hongje Seong*, and Euntai Kim
    IEEE Transactions on Cybernetics (TCYB), Aug, 2022
    (IF: 19.118 in JCR2021, * indicates equal contribution)
    Page
  4. Correlation Verification for Image Retrieval
    Seongwon Lee,  Hongje Seong, Suhyeon Lee, and Euntai Kim
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun, 2022
    (Acceptance: 342/8161 ≈ 4.2%)
      Oral Presentation  
    arXiv Page Code
  5. WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
    Suhyeon Lee,  Hongje Seong, Seongwon Lee, and Euntai Kim
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun, 2022
    (Acceptance: 2067/8161 ≈ 25.3%)
    arXiv Page Code
  6. Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
    Youngjo Lee,  Hongje Seong, and Euntai Kim
    AAAI Conference on Artificial Intelligence (AAAI), Feb, 2022
    (Acceptance: 1349/9020 ≈ 15.0%)
    arXiv Page
  7. Graph-Based Point Tracker for 3D Object Tracking in Point Clouds
    Minseong Park,  Hongje Seong, Wonje Jang, and Euntai Kim
    AAAI Conference on Artificial Intelligence (AAAI), Feb, 2022
    (Acceptance: 1349/9020 ≈ 15.0%)
    Page
  8. Adjacent Feature Propagation Network (AFPNet) for Real-Time Semantic Segmentation
    Junhyuk Hyun,  Hongje Seong, Sangki Kim, and Euntai Kim
    IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), 2021 (Accepted)
    (IF: 13.451 in JCR2020)
    Page
  9. Hierarchical Memory Matching Network for Video Object Segmentation
    Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, and Euntai Kim
    IEEE/CVF International Conference on Computer Vision (ICCV), Oct, 2021
    (Acceptance: 1617/6236 ≈ 25.9%)
    arXiv Page Code Video
  10. Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
    Suhyeon Lee, Junhyuk Hyun,  Hongje Seong, and Euntai Kim
    AAAI Conference on Artificial Intelligence (AAAI), Feb, 2021
    (Acceptance: 1692/7911 ≈ 21.4%)
    arXiv Page
  11. Kernelized Memory Network for Video Object Segmentation
    Hongje Seong, Junhyuk Hyun, and Euntai Kim
    European Conference on Computer Vision (ECCV), Aug, 2020
    (Acceptance: 1361/5025 ≈ 27.1%)
      3rd Place Award in DAVIS20 Challenge (CVPRW-DAVIS 2020)  
    arXiv Page Video