TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses-Reference-Cited by-同舟云学术

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Chen Xuesong¹,Shi Shaoshuai²,Zhang Chao³,Zhu Benjin¹,Wang Qiang³,Cheung Ka Chun⁴,See Simon⁴,Li Hongsheng¹

Affiliation:

1. CUHK,MMLab

2. Max Planck Institute for Informatics

3. Samsung Telecommunication Research

4. NVIDIA AI Technology Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377802.pdf?arnumber=10377802

Reference37 articles.

1. Score refinement for confidence-based 3D multi-object tracking

2. MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection

3. Probabilistic 3d multi-object tracking for autonomous driving;Chiu;CoRR,2020

4. Quo vadis: Is trajectory forecasting the key towards long-term multi-object tracking?;Dendorfer;Advances in Neural Information Processing Systems,2022

5. Afdet: Anchor free one stage 3d object detection;Ge,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploiting Multi-Modal Synergies for Enhancing 3D Multi-Object Tracking;IEEE Robotics and Automation Letters;2024-10

2. Intra-Frame Graph Structure and Inter-Frame Bipartite Graph Matching with ReID-Based Occlusion Resilience for Point Cloud Multi-Object Tracking;Electronics;2024-07-27

3. STT: Stateful Tracking with Transformers for Autonomous Driving;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13