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Point Transformer V2: Grouped Vector Attention and Partition-based
  Pooling

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

11 October 2022
Xiaoyang Wu
Yixing Lao
Li Jiang
Xihui Liu
Hengshuang Zhao
    3DPC
    ViT
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Papers citing "Point Transformer V2: Grouped Vector Attention and Partition-based Pooling"

13 / 63 papers shown
Title
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
28
12
0
25 May 2023
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR
  Semantic Segmentation
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
Cristiano Saltori
Aljovsa Ovsep
Elisa Ricci
Laura Leal-Taixé
27
14
0
23 Apr 2023
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud
  Understanding
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding
Hengjia Li
Tu Zheng
Zhihao Chi
Zheng Yang
Wenxiao Wang
Boxi Wu
Binbin Lin
Deng Cai
3DPC
51
1
0
31 Mar 2023
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Yong-xing He
Hongshan Yu
Zhengeng Yang
Xiaoguang Liu
Wei Sun
Ajmal Mian
ViT
3DPC
14
3
0
08 Mar 2023
Long Range Pooling for 3D Large-Scale Scene Understanding
Long Range Pooling for 3D Large-Scale Scene Understanding
Xiang-Li Li
Meng-Hao Guo
Tai-Jiang Mu
Ralph Robert Martin
Shiyong Hu
3DV
3DPC
19
2
0
17 Jan 2023
Hierarchical Point Attention for Indoor 3D Object Detection
Hierarchical Point Attention for Indoor 3D Object Detection
Manli Shu
Le Xue
Ning Yu
Roberto Martín-Martín
Caiming Xiong
Tom Goldstein
Juan Carlos Niebles
Ran Xu
3DPC
37
1
0
06 Jan 2023
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Honghui Yang
Tong He
Jiaheng Liu
Huaguan Chen
Boxi Wu
Binbin Lin
Xiaofei He
Wanli Ouyang
54
58
0
06 Dec 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud
  Learning
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Ruihuang Li
Kui Jia
Lei Zhang
3DPC
27
7
0
13 Nov 2022
PointConvFormer: Revenge of the Point-based Convolution
PointConvFormer: Revenge of the Point-based Convolution
Wenxuan Wu
Li Fuxin
Qi Shan
3DPC
25
30
0
04 Aug 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
151
283
0
04 May 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
316
3,625
0
24 Feb 2021
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
128
270
0
09 Sep 2019
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
14,109
0
02 Dec 2016
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