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Point Density-Aware Voxels for LiDAR 3D Object Detection

Point Density-Aware Voxels for LiDAR 3D Object Detection

10 March 2022
Jordan S. K. Hu
Tianshu Kuai
Steven L. Waslander
    3DPC
ArXivPDFHTML

Papers citing "Point Density-Aware Voxels for LiDAR 3D Object Detection"

18 / 18 papers shown
Title
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Alexandra Arzberger
Ramin Tavakoli Kolagari
AAML
151
0
0
21 Mar 2025
DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion
Zixuan Yin
Han Sun
Ningzhong Liu
Huiyu Zhou
Jiaquan Shen
3DPC
33
0
0
03 Jan 2025
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based
  3D Object Detection
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection
Lin Liu
Ziying Song
Qiming Xia
Feiyang Jia
Caiyan Jia
Lei Yang
Hongyu Pan
3DPC
49
6
0
16 Jun 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Yifan Zhang
Siyu Ren
Junhui Hou
Jinjian Wu
Guangming Shi
Guangming Shi
SSL
3DPC
84
3
0
23 Jan 2024
Large receptive field strategy and important feature extraction strategy
  in 3D object detection
Large receptive field strategy and important feature extraction strategy in 3D object detection
Leichao Cui
Xiuxian Li
Min Meng
Guangyu Jia
26
1
0
22 Jan 2024
Refining the ONCE Benchmark with Hyperparameter Tuning
Refining the ONCE Benchmark with Hyperparameter Tuning
Maksim Golyadkin
Alexander Gambashidze
Ildar Nurgaliev
Ilya Makarov
31
1
0
10 Nov 2023
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR
  Data
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data
Mariona Carós
Ariadna Just
Santi Seguí
Jordi Vitrià
SSL
3DPC
21
3
0
05 Sep 2023
Semantic Segmentation on 3D Point Clouds with High Density Variations
Semantic Segmentation on 3D Point Clouds with High Density Variations
Ryan Faulkner
Luke Haub
Simon Ratcliffe
Ian Reid
Tat-Jun Chin
3DPC
41
1
0
04 Jul 2023
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object
  Detection
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
Yecheol Kim
Konyul Park
Minwook Kim
Dongsuk Kum
J. Choi
3DPC
17
21
0
24 Nov 2022
RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object
  Detection Systems
RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems
Yanlong Yang
Jianan Liu
Tao Huang
Qinghua Han
Gang Ma
Bing Zhu
35
25
0
11 Nov 2022
3D Vision with Transformers: A Survey
3D Vision with Transformers: A Survey
Jean Lahoud
Jiale Cao
F. Khan
Hisham Cholakkal
Rao Muhammad Anwer
Salman Khan
Ming Yang
ViT
MedIm
27
32
0
08 Aug 2022
ImpDet: Exploring Implicit Fields for 3D Object Detection
ImpDet: Exploring Implicit Fields for 3D Object Detection
Xuelin Qian
Li Wang
Yishuang Zhu
Li Zhang
Yanwei Fu
Xiangyang Xue
3DPC
23
6
0
31 Mar 2022
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector
  Representation for 3D Object Detection
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi
Li Jiang
Jiajun Deng
Zhe Wang
Chaoxu Guo
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
139
404
0
31 Jan 2021
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
3DPC
24
51
0
07 Jan 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Jiajun Deng
Shaoshuai Shi
Pei-Cian Li
Wen-gang Zhou
Yanyong Zhang
Houqiang Li
3DPC
231
842
0
31 Dec 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
156
737
0
02 Mar 2020
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
205
1,019
0
26 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
14,099
0
02 Dec 2016
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