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Jongha Kim

M.S & Ph.D Integrated Student in MLV Lab, advised by Prof. Hyunwoo J. Kim.

Department of Computer Science and Engineering at Korea University, Seoul, Republic of Korea.

My goal is to develop personalized and reliable multimodal AI agents. My research focuses on personalizing Multimodal Large Language Models, exploring post-training methods (e.g., DPO), systems (e.g., RAG), and ways to leverage structured representations to complement these models to achieve the goal. For more information, please see my CV.

If you are interested in collaboration or have opportunities that align with my expertise, please feel free to reach out to me via contact email.

selected publications [full list]

(*) denotes equal contribution

  1. AAAI
    VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning
    Ji Soo Lee*, Jongha Kim*, Jeehye Na, Jinyoung Park, and Hyunwoo J Kim
    In AAAI Conference on Artificial Intelligence (AAAI 2025)
  2. CVPR
    Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection
    Jongha Kim*, Jihwan Park*, Jinyoung Park*, Jinyoung Kim, Sehyung Kim, and Hyunwoo J Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
  3. MICCAI Workshop
    Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification
    Injae Kim*, Jongha Kim*, Jooyoung Choi, and Hyunwoo J Kim
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023 Workshop)
  4. ECCV Workshop
    Object Detection in Aerial Images with Uncertainty-Aware Graph Network
    Jongha Kim, Jinheon Baek, and Sung Ju Hwang
    In European Conference on Computer Vision (ECCV 2022 Workshop)
  5. Under Review
    Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering
    Jongha Kim, Byungoh Ko, Jeehye Na, Jinsung Yoon, and Hyunwoo J Kim
    In Under Review