Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1812.01687
Cited By
PointCloud Saliency Maps
28 November 2018
Tianhang Zheng
Changyou Chen
Junsong Yuan
Bo Li
K. Ren
3DPC
Re-assign community
ArXiv
PDF
HTML
Papers citing
"PointCloud Saliency Maps"
50 / 101 papers shown
Title
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
Xuechao Wang
S. Nõmm
Junqing Huang
Kadri Medijainen
A. Toomela
Michael Ruzhansky
AAML
FAtt
21
0
0
04 May 2025
Locating and Mitigating Gradient Conflicts in Point Cloud Domain Adaptation via Saliency Map Skewness
Jiaqi Tang
Yinsong Xu
Qingchao Chen
3DPC
27
0
0
22 Apr 2025
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
Benjy Friedmann
Michael Werman
3DPC
33
0
0
03 Apr 2025
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
Kaiwei Zhang
Dandan Zhu
Xiongkuo Min
Guangtao Zhai
Mamba
52
0
0
02 Apr 2025
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Alexandra Arzberger
Ramin Tavakoli Kolagari
AAML
137
0
0
21 Mar 2025
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
Zhan Qu
Shuzhou Yuan
Michael Färber
Marius Brennfleck
Niklas Wartha
Anton Stephan
3DPC
34
0
0
01 Mar 2025
Hard-Label Black-Box Attacks on 3D Point Clouds
Daizong Liu
Yunbo Tao
Pan Zhou
Wei Hu
3DPC
64
0
0
30 Nov 2024
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
Jie Wang
Tingfa Xu
Lihe Ding
Jianan Li
ViT
3DPC
28
0
0
01 Nov 2024
Robust 3D Point Clouds Classification based on Declarative Defenders
Kaidong Li
Tianxiao Zhang
Cuncong Zhong
Z. Zhang
G. Wang
3DPC
40
1
0
13 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability
Gabriel Kasmi
Amandine Brunetto
Thomas Fel
Jayneel Parekh
AAML
FAtt
25
0
0
02 Oct 2024
Evaluating saliency scores in point clouds of natural environments by learning surface anomalies
R. Arav
D. Wittich
Franz Rottensteiner
3DPC
24
1
0
26 Aug 2024
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers
Longkun Zou
Wanru Zhu
Ke Chen
Lihua Guo
K. Guo
Kui Jia
Yaowei Wang
3DPC
ViT
40
0
0
26 Jul 2024
Transferable 3D Adversarial Shape Completion using Diffusion Models
Xuelong Dai
Bin Xiao
DiffM
3DPC
37
0
0
14 Jul 2024
SGCCNet: Single-Stage 3D Object Detector With Saliency-Guided Data Augmentation and Confidence Correction Mechanism
Ao Liang
Wenyu Chen
Jian Fang
Huaici Zhao
3DPC
36
0
0
01 Jul 2024
Multi-UAVs end-to-end Distributed Trajectory Generation over Point Cloud Data
Antonio Marino
C. Pacchierotti
P. Giordano
3DPC
32
0
0
28 Jun 2024
Toward Availability Attacks in 3D Point Clouds
Yifan Zhu
Yibo Miao
Yinpeng Dong
Xiao-Shan Gao
3DPC
AAML
40
3
0
26 Jun 2024
Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving
Ce Zhang
A. Eskandarian
36
0
0
25 Jun 2024
Adversarial 3D Virtual Patches using Integrated Gradients
Chengzeng You
Zhongyuan Hau
Binbin Xu
Soteris Demetriou
3DPC
32
0
0
01 Jun 2024
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds
Hanwei Zhang
Luo Cheng
Qisong He
Wei Huang
Renjue Li
R. Sicre
Xiaowei Huang
Holger Hermanns
Lijun Zhang
AAML
25
1
0
23 May 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
Shuai Liu
Boyang Li
Zhiyu Fang
Mingyue Cui
Kai Huang
40
0
0
21 May 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment
Hanxiao Tan
37
1
0
29 Apr 2024
Towards Robust 3D Pose Transfer with Adversarial Learning
Haoyu Chen
Hao Tang
Ehsan Adeli
Guoying Zhao
3DH
AAML
22
1
0
02 Apr 2024
Universal Bovine Identification via Depth Data and Deep Metric Learning
Asheesh Sharma
Lucy Randewich
William Andrew
S. Hannuna
Neill D. F. Campbell
Siobhan Mullan
A. W. Dowsey
Melvyn Smith
Mark Hansen
T. Burghardt
36
1
0
29 Mar 2024
Fast and Simple Explainability for Point Cloud Networks
Meir Yossef Levi
Guy Gilboa
3DPC
26
3
0
12 Mar 2024
PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification
Mert Gulsen
Batuhan Cengiz
Y. Sahin
Gözde B. Ünal
DiffM
AAML
21
0
0
11 Mar 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
Tianrui Lou
Xiaojun Jia
Jindong Gu
Li Liu
Siyuan Liang
Bangyan He
Xiaochun Cao
27
8
0
08 Mar 2024
Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization
A. Kuriyal
Vaibhav Kumar
3DPC
19
1
0
19 Feb 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations
Hanxiao Tan
19
1
0
26 Jan 2024
Score-Based Methods for Discrete Optimization in Deep Learning
E. Lei
Arman Adibi
Hamed Hassani
13
1
0
15 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
25
15
0
01 Oct 2023
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
Jie Wang
Lihe Ding
Tingfa Xu
Shaocong Dong
Xinli Xu
Long Bai
Jianan Li
3DPC
26
5
0
19 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
Hongge Chen
Zhao Chen
Gregory P. Meyer
Dennis Park
Carl Vondrick
Ashish Shrivastava
Yuning Chai
3DPC
15
3
0
11 Sep 2023
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
Guanqun Ding
Nevrez Imamoglu
Ali Caglayan
M. Murakawa
Ryosuke Nakamura
3DPC
26
0
0
28 Aug 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
Yunbo Tao
Daizong Liu
Pan Zhou
Yulai Xie
Wei Du
Wei Hu
3DPC
AAML
16
11
0
15 Aug 2023
Robustifying Point Cloud Networks by Refocusing
Meir Yossef Levi
Guy Gilboa
3DPC
27
4
0
10 Aug 2023
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
Qiufan Ji
Lin Wang
Cong Shi
Shengshan Hu
Ying Chen
Lichao Sun
AAML
3DPC
16
2
0
31 Jul 2023
Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification
Xinke Li
Junchi Lu
Henghui Ding
Changsheng Sun
Joey Tianyi Zhou
Chee Yeow Meng
3DPC
43
4
0
20 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
25
7
0
01 Jul 2023
Object pop-up: Can we infer 3D objects and their poses from human interactions alone?
Ilya A. Petrov
R. Marin
Julian Chibane
Gerard Pons-Moll
23
25
0
01 Jun 2023
D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion
Xinhai Liu
Zhizhong Han
S. Lee
Yannan Cao
Yu-Shen Liu
3DPC
18
1
0
10 May 2023
Self-Ordering Point Clouds
Pengwan Yang
Cees G. M. Snoek
Yuki M. Asano
SSL
3DPC
16
4
0
03 Apr 2023
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network
Weiquan Liu
Minghao Liu
Shijun Zheng
Cheng-i Wang
3DPC
18
3
0
12 Mar 2023
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality
Weiquan Liu
Shijun Zheng
Cheng-i Wang
3DPC
AAML
19
2
0
12 Mar 2023
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
Jinghuai Zhang
Jinyuan Jia
Hongbin Liu
Neil Zhenqiang Gong
3DPC
25
6
0
03 Mar 2023
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
Yifan Zhang
Junhui Hou
Yixuan Yuan
AAML
3DPC
25
29
0
20 Dec 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
Kui Zhang
Hang Zhou
Jie Zhang
Qidong Huang
Weiming Zhang
Nenghai Yu
DiffM
17
11
0
29 Nov 2022
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape
Linkun Fan
Fazhi He
Qingchen Guo
Wei Tang
Xiaolin Hong
Bing Li
AAML
3DPC
26
8
0
28 Nov 2022
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
26
5
0
25 Nov 2022
Improving transferability of 3D adversarial attacks with scale and shear transformations
Jinali Zhang
Yinpeng Dong
Junyi Zhu
Jihong Zhu
Minchi Kuang
Xiaming Yuan
3DPC
21
17
0
02 Nov 2022
Isometric 3D Adversarial Examples in the Physical World
Yibo Miao
Yinpeng Dong
Junyi Zhu
Xiao-Shan Gao
37
29
0
27 Oct 2022
1
2
3
Next