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20202023
most citedLet Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis

22 citations · 66 across the 11 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance

Haiming Zhang, Zhihao Yuan, Chaoda Zheng +6

Although existing speech-driven talking face generation methods achieve significant progress, they are far from real-world application due to the avatar-specific training demand an…

cs.CV2023

X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer

Linglin Jing, Ying Xue, Xu Yan +7

The field of 4D point cloud understanding is rapidly developing with the goal of analyzing dynamic 3D point cloud sequences. However, it remains a challenging task due to the spars…

cs.CV2023★ 3 cited

LATR: 3D Lane Detection from Monocular Images with Transformer

Yueru Luo, Chaoda Zheng, Xu Yan +4

3D lane detection from monocular images is a fundamental yet challenging task in autonomous driving. Recent advances primarily rely on structural 3D surrogates (e.g., bird's eye vi…

cs.CV2023★ 1 cited

An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

Chaoda Zheng, Xu Yan, Haiming Zhang +4

3D single object tracking in LiDAR point clouds (LiDAR SOT) plays a crucial role in autonomous driving. Current approaches all follow the Siamese paradigm based on appearance match…

cs.CV2023

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Xu Yan, Chaoda Zheng, Ying Xue +3

When using LiDAR semantic segmentation models for safety-critical applications such as autonomous driving, it is essential to understand and improve their robustness with respect t…