| --- |
| license: mit |
| language: |
| - en |
| tags: |
| - scene-understanding |
| - events-sensor |
| --- |
| |
| <p align="center"> |
| <h1 align="center">SEAL 🦭<br> |
| Segment Any Events with Language</h1> |
| <p align="center"> |
| <a href="https://www.linkedin.com/in/seungjun-lee-43101a261/">Seungjun Lee</a></span> · |
| <a href="https://www.comp.nus.edu.sg/~leegh/">Gim Hee Lee</a><sup></sup> <br> |
| Department of Computer Science, National University of Singapore<br> |
| </p> |
| <h2 align="center">ICLR 2026</h2> |
| <h3 align="center"><a href="https://github.com/0nandon/SEAL">Code</a> | <a href="https://arxiv.org/abs/2601.23159">Paper</a> | <a href="https://0nandon.github.io/SEAL/">Project Page</a> </h3> |
| <div align="center"> |
| <a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white"></a> |
| <a href="https://hydra.cc/"><img alt="Config: Hydra" src="https://img.shields.io/badge/Config-Hydra-89b8cd"></a> |
| </div> |
| </p> |
| |
| <p align="center"> |
| <a href=""> |
| <img src="static/teaser.png" alt="Logo" width="100%"> |
| </a> |
| </p> |
| <p align="center"> |
| Our <strong>SEAL</strong> is the first Semantic-aware Segment Any Events model. |
| </p> |
| </p> |
| |
| ## Citation |
| If you find our code or paper useful, please cite |
| ```bibtex |
| @article{lee2026segment, |
| title={Segment Any Events with Language}, |
| author={Lee, Seungjun and Lee, Gim Hee}, |
| journal={arXiv preprint arXiv:2601.23159}, |
| year={2026} |
| } |
| ``` |
