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 3D computer vision, especially in:

  • 3D/4D scene editing and reconstruction
  • 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. I’m also a big fan of Arsenal.

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.

selected publications

  1. 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, and 3 more authors
    Proceedings of the 33nd ACM International Conference on Multimedia. 2025, 2025
  2. 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, and 5 more authors
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
  3. CVPR 2025
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    Insightful Instance Features for 3D Instance Segmentation
    Wonseok Roh, Hwanhee Jung, Giljoo Nam, Dong In Lee, and 4 more authors
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
  4. 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, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
  5. 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 1 more author
    Applied Sciences, 2023
  6. 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