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. 2209.07788
  4. Cited By
PointCAT: Contrastive Adversarial Training for Robust Point Cloud
  Recognition

PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition

16 September 2022
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Hang Zhou
Weiming Zhang
Kui Zhang
Gang Hua
Nenghai Yu
    3DPC
ArXivPDFHTML

Papers citing "PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition"

12 / 12 papers shown
Title
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
28
0
0
19 Oct 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance
Improving Fast Adversarial Training via Self-Knowledge Guidance
Chengze Jiang
Junkai Wang
Minjing Dong
Jie Gui
Xinli Shi
Yuan Cao
Yuan Yan Tang
James Tin-Yau Kwok
29
1
0
26 Sep 2024
Rethinking Attention Module Design for Point Cloud Analysis
Rethinking Attention Module Design for Point Cloud Analysis
Chengzhi Wu
Kaige Wang
Zeyun Zhong
Hao Fu
Junwei Zheng
Jiaming Zhang
Julius Pfrommer
Jürgen Beyerer
3DPC
48
1
0
27 Jul 2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against
  Semantic Attacks
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
Zijian Huang
Wenda Chu
Linyi Li
Chejian Xu
Bo-wen Li
AAML
33
0
0
04 Mar 2024
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy
  against Text-to-Image Synthesis of Diffusion Models
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
Feifei Wang
Zhentao Tan
Tianyi Wei
Yue-bo Wu
Qidong Huang
DiffM
40
10
0
13 Dec 2023
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
Xiang Xu
Lingdong Kong
Hui Shuai
Qingshan Liu
3DPC
58
23
0
07 Dec 2023
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free
  settings using Static Reconstruction
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction
Prashant Kumar
Dhruv Makwana
Onkar Susladkar
Anurag Mittal
P. K. Kalra
3DV
3DPC
18
1
0
26 Jun 2023
Diversity-Aware Meta Visual Prompting
Diversity-Aware Meta Visual Prompting
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Weiming Zhang
Feifei Wang
Gang Hua
Neng H. Yu
VLM
VPVLM
41
52
0
14 Mar 2023
Benchmarking Robustness of 3D Point Cloud Recognition Against Common
  Corruptions
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Jiachen Sun
Qingzhao Zhang
B. Kailkhura
Zhiding Yu
Chaowei Xiao
Z. Morley Mao
3DPC
38
84
0
28 Jan 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
143
283
0
04 May 2021
Efficient 3D Point Cloud Feature Learning for Large-Scale Place
  Recognition
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Le Hui
Mingmei Cheng
Jin Xie
Jian Yang
3DPC
241
71
0
07 Jan 2021
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
1