Intricate Object Detection in Self Driving Environments with Edge-Adaptive Depth Estimation(EADE).
Michail Salampasis|SuBi Kim|Jieun Kang|SuBi Kim|Michail Salampasis|Yongik Yoon
| Anthology ID: | DBLP:conf/cikm/KimK024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3837-3841 |
| URL: | https://doi.org/10.1145/3627673.3679948 |
| DOI: | https://doi.org/10.1145/3627673.3679948 |
| DBLP: | conf/cikm/KimK024 |
| BibTeX: |
@inproceedings{salampasis-2024-intricate,
author = {Michail Salampasis and
SuBi Kim and
Jieun Kang and
SuBi Kim and
Michail Salampasis and
Yongik Yoon},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Intricate Object Detection in Self Driving Environments with Edge-Adaptive Depth Estimation(EADE)}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3837--3841},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679948},
doi = {https://doi.org/10.1145/3627673.3679948}
}