ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.09688
  4. Cited By
PCT: Point cloud transformer

PCT: Point cloud transformer

17 December 2020
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
    ViT
    3DPC
ArXivPDFHTML

Papers citing "PCT: Point cloud transformer"

50 / 572 papers shown
Title
Hybrid-Emba3D: Geometry-Aware and Cross-Path Feature Hybrid Enhanced State Space Model for Point Cloud Classification
Hybrid-Emba3D: Geometry-Aware and Cross-Path Feature Hybrid Enhanced State Space Model for Point Cloud Classification
Bin Liu
C. Wang
Xuelian Liu
Guan Xi
Ge Zhang
Ziteng Yao
Mengxue Dong
Mamba
14
0
0
16 May 2025
Spatiotemporal Field Generation Based on Hybrid Mamba-Transformer with Physics-informed Fine-tuning
Spatiotemporal Field Generation Based on Hybrid Mamba-Transformer with Physics-informed Fine-tuning
Peimian Du
Jiabin Liu
Xiaowei Jin
Mengwang Zuo
Hui Li
AI4CE
2
0
0
16 May 2025
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
Ali Alawieh
Alexandru P. Condurache
3DPC
58
0
0
07 May 2025
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu
Yuxin Wan
Hao Fu
Julius Pfrommer
Zeyun Zhong
Junwei Zheng
Jiaming Zhang
Jürgen Beyerer
3DPC
54
0
0
28 Apr 2025
Measuring Uncertainty in Shape Completion to Improve Grasp Quality
Measuring Uncertainty in Shape Completion to Improve Grasp Quality
N. Duarte
S. S. Mohammadi
Plinio Moreno
Alessio Del Bue
J. Santos-Victor
3DPC
34
0
0
22 Apr 2025
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
Xuanhua Yin
Dingxin Zhang
Jianhui Yu
Weidong Cai
25
0
0
19 Apr 2025
KAN or MLP? Point Cloud Shows the Way Forward
KAN or MLP? Point Cloud Shows the Way Forward
Yan Shi
Qingdong He
Yijun Liu
Xiaoyu Liu
Jingyong Su
3DPC
35
0
0
18 Apr 2025
Hierarchical Feature Learning for Medical Point Clouds via State Space Model
Hierarchical Feature Learning for Medical Point Clouds via State Space Model
Guoqing Zhang
Jingyun Yang
Yang Li
38
0
0
17 Apr 2025
OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation
OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation
Si-Tong Wei
Rui-Huan Wang
Chuan-Zhi Zhou
Baoquan Chen
Peng-Shuai Wang
39
2
0
14 Apr 2025
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
Jiaqi He
Xiangwen Luo
Yiping Wang
AI4CE
40
0
0
11 Apr 2025
STaR: Seamless Spatial-Temporal Aware Motion Retargeting with Penetration and Consistency Constraints
STaR: Seamless Spatial-Temporal Aware Motion Retargeting with Penetration and Consistency Constraints
Xiaohang Yang
Qing Wang
Jiahao Yang
Gregory Slabaugh
Shanxin Yuan
40
0
0
09 Apr 2025
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
Benjy Friedmann
Michael Werman
3DPC
37
0
0
03 Apr 2025
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds
Introducing the Short-Time Fourier Kolmogorov Arnold Network: A Dynamic Graph CNN Approach for Tree Species Classification in 3D Point Clouds
Said Ohamouddou
Mohamed Ohamouddou
Hanaa El Afia
A. E. Afia
Rafik Lasri
R. Chiheb
3DPC
52
0
0
31 Mar 2025
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
Xu Han
Yuan Tang
Jinfeng Xu
Xianzhi Li
51
0
0
24 Mar 2025
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
Hongyu Yan
Z. Li
Kunming Luo
Li Lu
Ping Tan
50
0
0
23 Mar 2025
HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views
HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views
Ethan Griffiths
Maryam Haghighat
Simon Denman
Clinton Fookes
Milad Ramezani
3DPC
59
0
0
11 Mar 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Long Minh Bui
Tho Tran Huu
Duy-Tung Dinh
T. Nguyen
Trong Nghia Hoang
52
2
0
27 Feb 2025
No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
Zheng Li
Bingxu Xie
Chao Chu
Weiqing Li
Zhiyong Su
48
1
0
17 Feb 2025
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing
Fanchao Zhong
Yang Wang
Peng Wang
Lin Lu
Haisen Zhao
HAI
81
0
0
10 Feb 2025
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation
Yang Chen
Yueqi Duan
Runzhong Zhang
Yap-Peng Tan
3DPC
153
2
0
06 Feb 2025
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
Kevin Qiu
Dimitri Bulatov
Dorota Iwaszczuk
3DPC
56
0
0
30 Jan 2025
Efficient Point Clouds Upsampling via Flow Matching
Z. Liu
Chenhang He
Lei Li
44
1
0
28 Jan 2025
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
Younggun Kim
Beomsik Cho
Seonghoon Ryoo
Soomok Lee
3DPC
99
0
0
27 Jan 2025
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification
Tian Guo
Chen Chen
Hui Yuan
Xiaolong Mao
R. Hamzaoui
Junhui Hou
3DPC
33
0
0
18 Jan 2025
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Yin Wang
Wang Chen
Kang Yang
Deying Li
Jianfei Cai
3DPC
86
3
0
17 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein
Carsten T. Lüth
U. Schlegel
Till J. Bungert
Mennatallah El-Assady
Paul F. Jäger
XAI
ELM
42
2
0
03 Jan 2025
LibAFL-DiFuzz: Advanced Architecture Enabling Directed Fuzzing
LibAFL-DiFuzz: Advanced Architecture Enabling Directed Fuzzing
Darya Parygina
Timofey Mezhuev
D. Kuts
39
0
0
26 Dec 2024
How Panel Layouts Define Manga: Insights from Visual Ablation Experiments
How Panel Layouts Define Manga: Insights from Visual Ablation Experiments
Siyuan Feng
Teruya Yoshinaga
Katsuhiko Hayashi
Koki Washio
Hidetaka Kamigaito
33
0
0
26 Dec 2024
Level-Set Parameters: Novel Representation for 3D Shape Analysis
Level-Set Parameters: Novel Representation for 3D Shape Analysis
Huan Lei
Hongdong Li
Andreas Geiger
Anthony Dick
72
0
0
18 Dec 2024
PointCFormer: a Relation-based Progressive Feature Extraction Network
  for Point Cloud Completion
PointCFormer: a Relation-based Progressive Feature Extraction Network for Point Cloud Completion
Yi Zhong
Weize Quan
Dong-ming Yan
J. Jiang
Yingmei Wei
3DPC
86
1
0
11 Dec 2024
Density-aware Global-Local Attention Network for Point Cloud
  Segmentation
Density-aware Global-Local Attention Network for Point Cloud Segmentation
Chade Li
Pengju Zhang
Yihong Wu
3DPC
61
0
0
30 Nov 2024
Hard-Label Black-Box Attacks on 3D Point Clouds
Hard-Label Black-Box Attacks on 3D Point Clouds
Daizong Liu
Yunbo Tao
Pan Zhou
Wei Hu
3DPC
69
0
0
30 Nov 2024
Curvature Informed Furthest Point Sampling
Curvature Informed Furthest Point Sampling
Shubham Bhardwaj
Ashwin Vinod
Soumojit Bhattacharya
Aryan Koganti
Aditya Sai Ellendula
Balakrishna Reddy
3DPC
71
0
0
25 Nov 2024
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud
  Processing
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing
Feifei Shao
Ping Liu
Zhao Wang
Yawei Luo
Hongwei Wang
Jun Xiao
3DPC
76
0
0
25 Nov 2024
DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D
  Semi-supervised Learning
DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning
Zhaoyu Chen
Bing Li
42
0
0
13 Nov 2024
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud
  Understanding
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding
Jincen Jiang
Qianyu Zhou
Yuhang Li
Xinkui Zhao
Meili Wang
Lizhuang Ma
Jian Chang
Jian Jun Zhang
Xuequan Lu
TTA
37
3
0
01 Nov 2024
Target-Guided Adversarial Point Cloud Transformer Towards Recognition
  Against Real-world Corruptions
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
Jie Wang
Tingfa Xu
Lihe Ding
Jianan Li
ViT
3DPC
36
0
0
01 Nov 2024
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object
  Conceptualization
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
Jianhua Sun
Yongqian Li
Longfei Xu
Nange Wang
Jiude Wei
Yining Zhang
Cewu Lu
52
1
0
01 Nov 2024
A Recipe for Geometry-Aware 3D Mesh Transformers
A Recipe for Geometry-Aware 3D Mesh Transformers
Mohammad Farazi
Yalin Wang
53
0
0
31 Oct 2024
NIMBA: Towards Robust and Principled Processing of Point Clouds With
  SSMs
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs
Nursena Köprücü
Destiny Okpekpe
Antonio Orvieto
Mamba
44
1
0
31 Oct 2024
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
Zhiwen Fan
Jian Zhang
Wenyan Cong
Peihao Wang
Renjie Li
...
ziqi wang
Danfei Xu
Boris Ivanovic
Marco Pavone
Yue Wang
3DV
41
11
0
24 Oct 2024
Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
Kai Liu
Kang-Soo You
Pan Gao
M. Paul
3DPC
23
0
0
23 Oct 2024
Improving 3D Finger Traits Recognition via Generalizable Neural
  Rendering
Improving 3D Finger Traits Recognition via Generalizable Neural Rendering
Hongbin Xu
Junduan Huang
Yuer Ma
Zifeng Li
Wenxiong Kang
23
0
0
12 Oct 2024
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
Maksim Kuznetsov
Airat Valiev
Alex Aliper
Daniil Polykovskiy
E. Tutubalina
Rim Shayakhmetov
Z. Miftahutdinov
27
0
0
11 Oct 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via
  Training-free Adaptor
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor
Sahar Ahmadi
A. Cheraghian
Morteza Saberi
Md. Towsif Abir
Hamidreza Dastmalchi
Farookh Hussain
Shafin Rahman
3DPC
28
2
0
11 Oct 2024
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud
  Learning
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Dingkang Liang
Tianrui Feng
Xin Zhou
Yumeng Zhang
Zhikang Zou
Xiang Bai
31
5
0
10 Oct 2024
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
Xianlong Wang
Minghui Li
Wei Liu
Hangtao Zhang
Shengshan Hu
Yechao Zhang
Ziqi Zhou
Hai Jin
3DPC
MU
45
6
0
04 Oct 2024
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
Yunze Liu
Li Yi
Mamba
45
2
0
01 Oct 2024
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
Sutharsan Mahendren
Saimunur Rahman
Piotr Koniusz
Tharindu Fernando
Sridha Sridharan
Clinton Fookes
Peyman Moghadam
3DPC
36
0
0
24 Sep 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at
  Test-Time through Purified Self-Training
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Jinpeng Lin
Xulei Yang
Tianrui Li
Xun Xu
3DPC
33
0
0
23 Sep 2024
1234...101112
Next