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AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene
  Understanding

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding

27 February 2024
Hongcheng Yang
Dingkang Liang
Dingyuan Zhang
Zhe Liu
Zhikang Zou
Xingyu Jiang
Yingying Zhu
    3DPC
ArXivPDFHTML

Papers citing "AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding"

5 / 5 papers shown
Title
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised
  Pointcloud Understanding
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
Hongyu Sun
Yongcai Wang
Xudong Cai
Xuewei Bai
Deying Li
ViT
3DPC
19
8
0
25 Mar 2023
PillarNet: Real-Time and High-Performance Pillar-based 3D Object
  Detection
PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection
Guang-Hui Shi
Ruifeng Li
Chaoxiang Ma
3DPC
67
132
0
16 May 2022
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
138
230
0
04 May 2021
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
135
400
0
31 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
216
660
0
31 Dec 2020
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