6 citations · 16 across the 6 of their papers we have counts for
6 papers
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels
Lue Fan, Feng Wang, Naiyan Wang +1
LiDAR-based fully sparse architecture has garnered increasing attention. FSDv1 stands out as a representative work, achieving impressive efficacy and efficiency, albeit with intric…
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion
Yang Liu, Feng Wang, Naiyan Wang +1
Radar is ubiquitous in autonomous driving systems due to its low cost and good adaptability to bad weather. Nevertheless, the radar detection performance is usually inferior becaus…
Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection
Jinglin Zhan, Tiejun Liu, Rengang Li +3
Data and model are the undoubtable two supporting pillars for LiDAR object detection. However, data-centric works have fallen far behind compared with the ever-growing list of fanc…
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection
Lue Fan, Yuxue Yang, Yiming Mao +4
This paper aims for high-performance offline LiDAR-based 3D object detection. We first observe that experienced human annotators annotate objects from a track-centric perspective.…
3D Video Object Detection with Learnable Object-Centric Global Optimization
Jiawei He, Yuntao Chen, Naiyan Wang +1
We explore long-term temporal visual correspondence-based optimization for 3D video object detection in this work. Visual correspondence refers to one-to-one mappings for pixels ac…
Super Sparse 3D Object Detection
Lue Fan, Yuxue Yang, Feng Wang +2
As the perception range of LiDAR expands, LiDAR-based 3D object detection contributes ever-increasingly to the long-range perception in autonomous driving. Mainstream 3D object det…