Analyzing Deep Learning Representations of Point Clouds for Real-Time
In-Vehicle LiDAR Perception

Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception

26 October 2022

Marcel Pflugfelder

J. Marius Zöllner

Papers citing "Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception"

8 / 8 papers shown

Title
4D Contrastive Superflows are Dense 3D Representation Learners Xiang Xu Lingdong Kong Hui Shuai Wenwei Zhang Liang Pan Kai Chen Ziwei Liu Qingshan Liu 3DPC 39 7 0 08 Jul 2024
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models Jiahao Sun Chunmei Qing Xiang Xu Lingdong Kong You-Chen Liu ... Zeqi Xiao Runnan Chen Tai Wang Wenwei Zhang Kai-xiang Chen 3DV 42 6 0 23 May 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 45 5 0 25 Mar 2024
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation Rong Li Shijie Li Xieyuanli Chen Teli Ma Juergen Gall Junwei Liang 3DPC 16 26 0 14 Sep 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models You-Chen Liu Lingdong Kong Jun Cen Runnan Chen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 19 83 0 15 Jun 2023
Rethinking Range View Representation for LiDAR Segmentation Lingdong Kong You-Chen Liu Runnan Chen Yuexin Ma Xinge Zhu Yikang Li Yuenan Hou Yu Qiao Ziwei Liu 3DPC 36 108 0 09 Mar 2023
Transformers in 3D Point Clouds: A Survey Dening Lu Qian Xie Mingqiang Wei Kyle Gao Linlin Xu Jonathan Li 3DPC ViT 30 49 0 16 May 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,047 0 02 Dec 2016