Seungjun Lee ·
Gim Hee Lee
Department of Computer Science, National University of Singapore
ICLR 2026
Code | Paper | Project Page
Our SEAL is the first Semantic-aware Segment Any Events model.
Citation
If you find our code or paper useful, please cite
@article{lee2026segment,
title={Segment Any Events with Language},
author={Lee, Seungjun and Lee, Gim Hee},
journal={arXiv… See the full description on the dataset page: https://huggingface.co/datasets/onandon/SEAL.
