Dong In Lee (이동인)

Visiting scholar @ Purdue Univ | Ph.D. student @ Korea Univ

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dilee99@korea.ac.kr

Welcome to my website! I am a Ph.D. student in the Computer Vision Lab (KUAICV) at Korea University, advised by Prof. Sangpil Kim.

I am currently a visiting scholar at Purdue University, collaborating with Prof. Karthik Ramani at the Convergence Design Lab.

My research interests lie in computer vision, especially in:

  • 3D/4D scene understanding
  • Human-object interaction
  • AI watermarking

Outside of research, I enjoy playing soccer, working out, and traveling. I also love learning new things beyond my research area.

If you’re interested in my research and collaboration, feel free to connect!

news

Jul 04, 2025 Our paper on 3D human-object interaction has been accepted to ACM MM 2025.
Mar 10, 2025 Two of our papers — EditSplat on 3D scene editing, and IKNE on 3D scene segmentation — have been accepted to CVPR 2025.
Feb 20, 2025 I have started my journey as a visiting scholar at Purdue University🇺🇸!
Mar 06, 2024 Our paper on 3D Watermarking, WateRF, was accepted to CVPR 2024.
Sep 01, 2023 Started the integrated MS/PhD program in the Computer Vision Lab (KUAICV), Korea University.

publications

  1. Under Review
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    Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer
    Dong In Lee*, Hyungjun Doh*, Seunggeun Chi, Runlin Duan, Sangpil Kim, and Karthik Ramani
    In arXiv preprint, 2025
    PDF Website
  2. ACM MM 2025
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    Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstruction
    Hyungjun Doh*, Dong In Lee*, Seunggeun Chi*, Pin-Hao Huang, Kwonjoon Lee, Sangpil Kim, and Karthik Ramani
    In Proceedings of the 33nd ACM International Conference on Multimedia, 2025
    PDF Website
  3. CVPR 2025
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    Editsplat: Multi-view fusion and attention-guided optimization for view-consistent 3d scene editing with 3d gaussian splatting
    Dong In Lee, Hyeongcheol Park, Jiyoung Seo, Eunbyung Park, Hyunje Park, Ha Dam Baek, Sangheon Shin, Sangmin Kim, and Sangpil Kim
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
    PDF Website
  4. IEEE Access
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    Egocentric Hand Activity Video Dataset and Bidirectional Motion-Priors for Hand Action Recognition
    Jiyoung Seo, Dong In Lee, Pilhyeon Lee, Jiwoo Lee, YounHee Gil, Karthik Ramani, and Sangpil Kim
    IEEE Access, 2026
    PDF
  5. CVPR 2025
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    Insightful Instance Features for 3D Instance Segmentation
    Wonseok Roh, Hwanhee Jung, Giljoo Nam, Dong In Lee, Hyeongcheol Park, Sang Ho Yoon, Jungseock Joo, and Sangpil Kim
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
    PDF Website
  6. CVPR 2024
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    Waterf: Robust watermarks in radiance fields for protection of copyrights
    Youngdong Jang, Dong In Lee, MinHyuk Jang, Jong Wook Kim, Feng Yang, and Sangpil Kim
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
    PDF Website
  7. Applied Sciences
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    Crop disease diagnosis with deep learning-based image captioning and object detection
    Dong In Lee, Ji Hwan Lee, Seung Ho Jang, Se Jong Oh, and Ill Chul Doo
    Applied Sciences, 2023
    PDF Website
  8. ICCE 2024
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    Development of Parameter Bit Operation Framework for Deep Neural Networks
    Dong In Lee, Jung-Heon Kim, and Seung-Ho Lim
    In 2024 IEEE International Conference on Consumer Electronics (ICCE), 2024
    PDF Website