Self-supervised Point Cloud Prediction Using 3D Spatio-temporal
Convolutional Networks

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

28 September 2021

Benedikt Mersch

Xieyuanli Chen

Papers citing "Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks"

19 / 19 papers shown

Title
Temporal Triplane Transformers as Occupancy World Models Haoran Xu Peixi Peng Guang Tan Yiqian Chang Yisen Zhao Yonghong Tian 41 0 0 10 Mar 2025
A Survey of World Models for Autonomous Driving Tuo Feng Wenguan Wang Y. Yang VGen 80 6 0 20 Jan 2025
OPUS: Occupancy Prediction Using a Sparse Set Jiabao Wang Zhaojiang Liu Qiang Meng Liujiang Yan Ke Wang Jie Yang Wei Liu Qibin Hou Ming-Ming Cheng 30 9 0 14 Sep 2024
UnO: Unsupervised Occupancy Fields for Perception and Forecasting Ben Agro Quinlan Sykora Sergio Casas Thomas Gilles R. Urtasun 38 13 0 12 Jun 2024
ATPPNet: Attention based Temporal Point cloud Prediction Network Kaustab Pal Aditya Sharma Avinash Sharma K. M. Krishna 3DPC 28 3 0 30 Jan 2024
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving Wenzhao Zheng Weiliang Chen Yuanhui Huang Borui Zhang Yueqi Duan Jiwen Lu VGen 40 69 0 27 Nov 2023
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion Lunjun Zhang Yuwen Xiong Ze Yang Sergio Casas Rui Hu R. Urtasun 39 50 0 02 Nov 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding Minghua Liu Ruoxi Shi Kaiming Kuang Yinhao Zhu Xuanlin Li Shizhong Han H. Cai Fatih Porikli Hao Su 3DPC 36 116 0 18 May 2023
Self-Ordering Point Clouds Pengwan Yang Cees G. M. Snoek Yuki M. Asano SSL 3DPC 16 4 0 03 Apr 2023
SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data Junyi Ma Xieyuanli Chen Jingyi Xu Guang-ming Xiong ViT 3DPC 26 43 0 16 Sep 2022
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds Siddhant Garg Mudit Chaudhary 3DPC 45 2 0 13 Sep 2022
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions Benedikt Mersch Xieyuanli Chen Ignacio Vizzo Lucas Nunes Jens Behley C. Stachniss 3DPC 22 77 0 08 Jun 2022
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving George Eskandar Sanjeev Sudarsan Karim Guirguis Janaranjani Palaniswamy Bharath Somashekar Bin Yang 11 4 0 08 Feb 2022
Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation Xieyuanli Chen Benedikt Mersch Lucas Nunes Rodrigo Marcuzzi Ignacio Vizzo Jens Behley C. Stachniss 3DPC 37 76 0 12 Jan 2022
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling Xumin Yu Lulu Tang Yongming Rao Tiejun Huang Jie Zhou Jiwen Lu 3DPC 39 653 0 29 Nov 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 163 365 0 20 Jan 2021
PointINet: Point Cloud Frame Interpolation Network Fan Lu Guang Chen Sanqing Qu Zhijun Li Yinlong Liu Alois C. Knoll 3DPC 48 26 0 18 Dec 2020
Deep Generative Modeling of LiDAR Data Lucas Page-Caccia H. V. Hoof Aaron Courville Joelle Pineau 3DPC 145 74 0 04 Dec 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015