publications

publications and preprints by categories in reversed chronological order.

2026

  1. Swift Sampling: Selecting Temporal Surprises via Taylor Series
    Swift Sampling: Selecting Temporal Surprises via Taylor Series
    Dahye Kim, Bhuvan Sachdeva*, Karan Uppal*, Naman Gupta*, Vineeth N. Balasubramanian, and Deepti Ghadiyaram
    NeurIPS, 2026
    Paper Project Code
  2. DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
    DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
    Dahye Kim, Deepti Ghadiyaram, and Raghudeep Gadde
    CVPR, 2026 (Highlight)
    Paper Project

2025

  1. Concept Steerers: Leveraging K-Sparse Autoencoders for Test-Time Controllable Generations
    Concept Steerers: Leveraging K-Sparse Autoencoders for Test-Time Controllable Generations
    Dahye Kim and Deepti Ghadiyaram
    arXiv, 2025
    Paper Project Code
  2. Revelio: Interpreting and leveraging visual semantic information in diffusion models
    Revelio: Interpreting and leveraging visual semantic information in diffusion models
    Dahye Kim*, Xavier Thomas*, and Deepti Ghadiyaram
    ICCV, 2025
    CVPRW MIV, 2025 (Oral)
    Paper Project Code Poster

2023

  1. Language-free training for zero-shot video grounding
    Language-free training for zero-shot video grounding
    Dahye Kim, Jungin Park, Jiyoung Lee, Seongheon Park, and Kwanghoon Sohn
    WACV, 2023 (Oral)
    Paper
  2. Normality guided multiple instance learning for weakly supervised video anomaly detection
    Normality guided multiple instance learning for weakly supervised video anomaly detection
    Seongheon Park, Hanjae Kim, Minsu Kim, Dahye Kim, and Kwanghoon Sohn
    WACV, 2023 (Oral)
    Paper