Adversarial samples for deep monocular 6D object pose estimation

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.

6D Pose Estimation 6D Pose Estimation using RGB +2

3D Adversarial Attacks Beyond Point Cloud

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.

Adversarial Attack

UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching

no code implementations • ICCV 2021 • Yamin Mao, Zhihua Liu, Weiming Li, Yuchao Dai, Qiang Wang, Yun-Tae Kim, Hong-Seok Lee

Extensive experiments show that the proposed method achieves the highest ground truth covering ratio compared with other cascade cost volume based stereo matching methods.

Stereo Matching

Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display

no code implementations • CVPR 2013 • Weiming Li, Haitao Wang, Mingcai Zhou, Shandong Wang, Shaohui Jiao, Xing Mei, Tao Hong, Hoyoung Lee, Jiyeun Kim

Based on this, 3D image artifacts are shown to be effectively removed in a test TLA-IID with challenging misalignments.