VideoTG-R1: Boosting Video Temporal Grounding via Curriculum Reinforcement Learning on Reflected Boundary Annotations.
Lu Dong|Haiyu Zhang|Han Lin|Ziang Yan|Xiangyu Zeng|Hongjie Zhang|Yifei Huang|Yi Wang|Zhen-Hua Ling|Limin Wang|Yali Wang
| Anthology ID: | DBLP:conf/mir/DongZLYZZHWLWW26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 1432-1441 |
| URL: | https://doi.org/10.1145/3805622.3810709 |
| DOI: | https://doi.org/10.1145/3805622.3810709 |
| DBLP: | conf/mir/DongZLYZZHWLWW26 |
| BibTeX: |
@inproceedings{dong-2026-videotgr1,
author = {Lu Dong and
Haiyu Zhang and
Han Lin and
Ziang Yan and
Xiangyu Zeng and
Hongjie Zhang and
Yifei Huang and
Yi Wang and
Zhen-Hua Ling and
Limin Wang and
Yali Wang},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{VideoTG-R1: Boosting Video Temporal Grounding via Curriculum Reinforcement Learning on Reflected Boundary Annotations}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {1432--1441},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810709},
doi = {https://doi.org/10.1145/3805622.3810709}
}