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20212024
most citedFully Sparse 3D Object Detection

41 citations · 67 across the 11 of their papers we have counts for

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11 papers · 1 filter

cs.CV2024

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…

cs.CV2024★ 8 cited

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-…

cs.CV2023★ 5 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023

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…

cs.CV2023

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…