41 citations · 67 across the 11 of their papers we have counts for
11 papers
Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection
Chaoda Zheng, Feng Wang, Naiyan Wang +2
While 3D object bounding box (bbox) representation has been widely used in autonomous driving perception, it lacks the ability to capture the precise details of an object's intrins…
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu, He Guan, Chuanchen Luo +4
The advancement of real-time 3D scene reconstruction and novel view synthesis has been significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large-…
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…
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection
Xirui Li, Feng Wang, Naiyan Wang +1
In LiDAR-based 3D detection, history point clouds contain rich temporal information helpful for future prediction. In the same way, history detections should contribute to future d…
Tracking Objects with 3D Representation from Videos
Jiawei He, Lue Fan, Yuqi Wang +4
Data association is a knotty problem for 2D Multiple Object Tracking due to the object occlusion. However, in 3D space, data association is not so hard. Only with a 3D Kalman Filte…
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.…
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…
Object as Query: Lifting any 2D Object Detector to 3D Detection
Zitian Wang, Zehao Huang, Jiahui Fu +2
3D object detection from multi-view images has drawn much attention over the past few years. Existing methods mainly establish 3D representations from multi-view images and adopt a…
Fully Sparse 3D Object Detection
Lue Fan, Feng Wang, Naiyan Wang +1
As the perception range of LiDAR increases, LiDAR-based 3D object detection becomes a dominant task in the long-range perception task of autonomous driving. The mainstream 3D objec…
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
Lue Fan, Xuan Xiong, Feng Wang +2
In this paper, we propose an anchor-free single-stage LiDAR-based 3D object detector -- RangeDet. The most notable difference with previous works is that our method is purely based…