Dahye Kim

Contact. dahye [at] bu [dot] edu

prof_pic.jpg

665 Commonwealth Ave.

Boston, MA 02215

Hi, thanks for stopping by! 👋

I am a second-year CS PhD student at Boston University, where I am fortunate to be advised by Prof. Deepti Ghadiyaram. Prior to joining BU, I completed my Master’s degree at Yonsei University under the guidance of Prof. Kwanghoon Sohn.

💭 My current research interests include

  • Image and video synthesis
  • Multimodal models
  • Interpretability

but not limited to.

I’m always open to collaborations and research discussions. Feel free to reach out!

news

Apr 09, 2026 DDiT is selected as a Highlight at CVPR 2026! 🌟
Feb 21, 2026 DDiT is accepted at CVPR 2026! 🏞️
Jun 30, 2025 Join Amazon as an Applied Scientist Intern in Seattle! 🏙️
Jun 25, 2025 Revelio is accepted at ICCV 2025! 🌺
May 03, 2025 Revelio is selected for an oral presentation at the CVPR 2025 MIV Workshop ! 🎸
Feb 03, 2025 New preprint is out: check out Concept Steerers 🪄
Nov 26, 2024 New preprint is out: check out Revelio 🔎
Sep 01, 2024 🚀 I’ve started PhD journey at Boston University!

publications

  1. swift_sampling.png
    Swift Sampling: Selecting Temporal Surprises via Taylor Series
    Dahye Kim, Bhuvan Sachdeva*, Karan Uppal*, Naman Gupta*, Vineeth N. Balasubramanian, and Deepti Ghadiyaram
    arXiv preprint arXiv:2605.22678, 2026
    arXiv Code Website
  2. ddit.png
    DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
    Dahye Kim, Deepti Ghadiyaram, and Raghudeep Gadde
    CVPR, 2026 (Highlight)
    arXiv Website
  3. steerers.png
    Concept Steerers: Leveraging K-Sparse Autoencoders for Controllable Generations
    Dahye Kim, and Deepti Ghadiyaram
    arXiv preprint arXiv:2501.19066, 2025
    arXiv Code Website
  4. revelio.png
    Revelio: Interpreting and leveraging semantic information in diffusion models
    Dahye Kim*, Xavier Thomas*, and Deepti Ghadiyaram
    ICCV, 2025
    CVPRW MIV, 2025 (Oral)
    arXiv Code Poster Website
  5. kim2023language.png
    Language-free training for zero-shot video grounding
    Dahye Kim, Jungin Park, Jiyoung Lee , Seongheon Park, and Kwanghoon Sohn
    WACV, 2023
    arXiv PDF
  6. park2023normality.png
    Normality guided multiple instance learning for weakly supervised video anomaly detection
    Seongheon Park, Hanjae Kim , Minsu Kim , Dahye Kim, and Kwanghoon Sohn
    WACV, 2023
    PDF