Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs.
Haoyi Xiu|Xin Liu|Taehoon Kim|Kyoung-Sook Kim
| Anthology ID: | DBLP:conf/cikm/Xiu0K025 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 5371-5375 |
| URL: | https://doi.org/10.1145/3746252.3760897 |
| DOI: | https://doi.org/10.1145/3746252.3760897 |
| DBLP: | conf/cikm/Xiu0K025 |
| BibTeX: |
@inproceedings{xiu-2025-exploring,
author = {Haoyi Xiu and
Xin Liu and
Taehoon Kim and
Kyoung-Sook Kim},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {5371--5375},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3760897},
doi = {https://doi.org/10.1145/3746252.3760897}
}