4 citations · 6 across the 4 of their papers we have counts for
4 papers
Density-invariant Features for Distant Point Cloud Registration
Quan Liu, Hongzi Zhu, Yunsong Zhou +3
Registration of distant outdoor LiDAR point clouds is crucial to extending the 3D vision of collaborative autonomous vehicles, and yet is challenging due to small overlapping area…
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction
Quan Liu, Yunsong Zhou, Hongzi Zhu +2
For many driving safety applications, it is of great importance to accurately register LiDAR point clouds generated on distant moving vehicles. However, such point clouds have extr…
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
Yunsong Zhou, Quan Liu, Hongzi Zhu +3
Monocular 3D object detection (Mono3D) in mobile settings (e.g., on a vehicle, a drone, or a robot) is an important yet challenging task. Due to the near-far disparity phenomenon o…
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer
Yunsong Zhou, Hongzi Zhu, Quan Liu +2
Mobile monocular 3D object detection (Mono3D) (e.g., on a vehicle, a drone, or a robot) is an important yet challenging task. Existing transformer-based offline Mono3D models adopt…