Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov. Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. In 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022. pages 366-373, IEEE, 2022. [doi]
@inproceedings{JingYKLQZACCLYD22,
title = {Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking},
author = {Longlong Jing and Ruichi Yu and Henrik Kretzschmar and Kang Li and Charles R. Qi and Hang Zhao and Alper Ayvaci and Xu Chen and Dillon Cower and Yingwei Li and Yurong You and Han Deng and Congcong Li and Dragomir Anguelov},
year = {2022},
doi = {10.1109/ICRA46639.2022.9811749},
url = {https://doi.org/10.1109/ICRA46639.2022.9811749},
researchr = {https://researchr.org/publication/JingYKLQZACCLYD22},
cites = {0},
citedby = {0},
pages = {366-373},
booktitle = {2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022},
publisher = {IEEE},
isbn = {978-1-7281-9681-7},
}