187 citations · 205 across the 4 of their papers we have counts for
4 papers
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking
Long Xu, Peng Gao, Wen-Jia Tang +2
Although deep learning-based visual tracking methods have made significant progress, they exhibit vulnerabilities when facing carefully designed adversarial attacks, which can lead…
Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking
Wei-Long Tian, Peng Gao, Xiao Liu +4
In recent years, visual tracking methods based on convolutional neural networks and Transformers have achieved remarkable performance and have been successfully applied in fields s…
Non-Overlapping Placement of Macro Cells based on Reinforcement Learning in Chip Design
Tao Yu, Peng Gao, Fei Wang +1
Due to the increasing complexity of chip design, existing placement methods still have many shortcomings in dealing with macro cells coverage and optimization efficiency. Aiming at…
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation
Xiao Liu, Peng Gao, Tao Yu +2
Deep learning, especially convolutional neural networks (CNNs) and Transformer architectures, have become the focus of extensive research in medical image segmentation, achieving i…