9 citations · 23 across the 8 of their papers we have counts for
8 papers
DASTSiam: Spatio-Temporal Fusion and Discriminative Augmentation for Improved Siamese Tracking
Yucheng Huang, Eksan Firkat, Ziwang Xiao +2
Tracking tasks based on deep neural networks have greatly improved with the emergence of Siamese trackers. However, the appearance of targets often changes during tracking, which c…
Improving transferability of 3D adversarial attacks with scale and shear transformations
Jinali Zhang, Yinpeng Dong, Jun Zhu +3
Previous work has shown that 3D point cloud classifiers can be vulnerable to adversarial examples. However, most of the existing methods are aimed at white-box attacks, where the p…
Adversarial samples for deep monocular 6D object pose estimation
Jinlai Zhang, Weiming Li, Shuang Liang +2
Estimating 6D object pose from an RGB image is important for many real-world applications such as autonomous driving and robotic grasping. Recent deep learning models have achieved…
Boosting 3D Adversarial Attacks with Attacking On Frequency
Binbin Liu, Jinlai Zhang, Lyujie Chen +1
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks. Recently, 3D adversarial attacks, especially adversarial attacks on point clouds, have elicited…
3D Adversarial Attacks Beyond Point Cloud
Jinlai Zhang, Lyujie Chen, Binbin Liu +5
Recently, 3D deep learning models have been shown to be susceptible to adversarial attacks like their 2D counterparts. Most of the state-of-the-art (SOTA) 3D adversarial attacks pe…
The art of defense: letting networks fool the attacker
Jinlai Zhang, Yinpeng Dong, Binbin Liu +5
Robust environment perception is critical for autonomous cars, and adversarial defenses are the most effective and widely studied ways to improve the robustness of environment perc…
PointCutMix: Regularization Strategy for Point Cloud Classification
Jinlai Zhang, Lyujie Chen, Bo Ouyang +5
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. In th…
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion
Lyujie Chen, Xiaming Yuan, Yao Xiao +2
Selecting safe landing sites in non-cooperative environments is a key step towards the full autonomy of UAVs. However, the existing methods have the common problems of poor general…