1 code implementation • 25 Feb 2024 • Xudong Cai, Yongcai Wang, Zhe Huang, Yu Shao, Deying Li
Then the QPC is compressed by the same GPC, and is aggregated into a global descriptor by an attention-based aggregation module, to query the compressed Lidar map in the vector space.
1 code implementation • 24 Feb 2024 • Hongyu Sun, Yongcai Wang, Wang Chen, Haoran Deng, Deying Li
Finally, a lightweight PointAdapter module is arranged near target tasks to enhance prompt tuning for 3D point cloud understanding.
no code implementations • 29 Apr 2023 • Hongyu Sun, Yongcai Wang, Peng Wang, Xudong Cai, Deying Li
This paper presents ViewFormer, a simple yet effective model for multi-view 3d shape recognition and retrieval.
no code implementations • 23 Apr 2023 • Hongyu Sun, Yongcai Wang, Xudong Cai, Peng Wang, Zhe Huang, Deying Li, Yu Shao, Shuo Wang
To advance the research and practical solutions for bird strike prevention, in this paper, we present a large-scale challenging dataset AirBirds that consists of 118, 312 time-series images, where a total of 409, 967 bounding boxes of flying birds are manually, carefully annotated.
no code implementations • 23 Apr 2023 • Wanting Li, Yu Shao, Yongcai Wang, Shuo Wang, Xuewei Bai, Deying Li
In this paper, we propose Inverse Depth Line Localization(IDLL), which models each extracted line feature using two inverse depth variables exploiting the fact that the projected pixel coordinates on the image plane are rather accurate, which partially restrict the lines.
1 code implementation • 25 Mar 2023 • Hongyu Sun, Yongcai Wang, Xudong Cai, Xuewei Bai, Deying Li
For example, the image branch in CrossPoint is $\sim$8. 3x heavier than the point cloud branch leading to higher complexity and latency.