STRIDE (Structured Temporal Refinement with Iterative DEnoising) is a lightweight proactive activation model for streaming video understanding. It employs a masked diffusion module at the activation interface to jointly predict and progressively refine activation signals over a sliding temporal window, producing temporally coherent proactive responses in online streaming scenarios.

• Paper release
• Model weights release (STRIDE-2B)
• Demo website
• Training code
• Evaluation scripts

@article{kim2026stride,
  title={STRIDE: When to Speak Meets Sequence Denoising for Streaming Video Understanding},
  author={Kim, Junho and Lee, Hosu and Rehg, James M. and Kim, Minsu and Ro, Yong Man},
  journal={arXiv preprint arXiv:2603.27593},
  year={2026}
}

This project is released under the Apache 2.0 License.