4 papers
LatentStealth: Unnoticeable and Efficient Adversarial Attacks on Expressive Human Pose and Shape Estimation
Zhiying Li, Guanggang Geng, Yeying Jin +4
Expressive human pose and shape estimation (EHPS) plays a central role in digital human generation, particularly in live-streaming applications. However, most existing EHPS models…
SC-Net: Robust Correspondence Learning via Spatial and Cross-Channel Context
Shuyuan Lin, Hailiang Liao, Qiang Qi +3
Recent research has focused on using convolutional neural networks (CNNs) as the backbones in two-view correspondence learning, demonstrating significant superiority over methods b…
MCI-Net: A Robust Multi-Domain Context Integration Network for Point Cloud Registration
Shuyuan Lin, Wenwu Peng, Junjie Huang +3
Robust and discriminative feature learning is critical for high-quality point cloud registration. However, existing deep learning-based methods typically rely on Euclidean neighbor…
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection
Zhiying Li, Zhi Liu, Guanggang Geng +4
Object detectors, which are widely used in real-world applications, are vulnerable to backdoor attacks. This vulnerability arises because many users rely on datasets or pre-trained…