2 code implementations • 5 Jan 2021 • Jinlai Zhang, Lyujie Chen, Bo Ouyang, Binbin Liu, Jihong Zhu, Yujing Chen, Yanmei Meng, Danfeng Wu
As 3D point cloud analysis has received increasing attention, the insufficient scale of point cloud datasets and the weak generalization ability of networks become prominent.
Ranked #3 on 3D Point Cloud Classification on ModelNet40-C
1 code implementation • CVPR 2023 • Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu
3D object detection is an important task in autonomous driving to perceive the surroundings.
1 code implementation • 25 Apr 2021 • Jinlai Zhang, Lyujie Chen, Binbin Liu, Bo Ouyang, Qizhi Xie, Jihong Zhu, Weiming Li, Yanmei Meng
In order to take advantage of the most effective gradient-based attack, a differentiable sample module that back-propagate the gradient of point cloud to mesh is introduced.
1 code implementation • 7 Apr 2021 • Jinlai Zhang, Yinpeng Dong, Binbin Liu, Bo Ouyang, Jihong Zhu, Minchi Kuang, Houqing Wang, Yanmei Meng
To this end, in this paper, we propose a novel adversarial defense for 3D point cloud classifier that makes full use of the nature of the DNNs.
1 code implementation • 1 Mar 2022 • Jinlai Zhang, Weiming Li, Shuang Liang, Hao Wang, Jihong Zhu
We also introduce a new U6DA-Linemod dataset for robustness study of the 6D pose estimation task.
1 code implementation • 26 Jan 2022 • Binbin Liu, Jinlai Zhang, Lyujie Chen, Jihong Zhu
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks.
no code implementations • 20 Mar 2023 • Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu
3D object detection is an important task in autonomous driving to perceive the surroundings.