187 citations · 339 across the 8 of their papers we have counts for
8 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…
In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking
Peng Gao, Shi-Min Li, Feng Gao +3
Deep learning-based methods monopolize the latest research in the field of thermal infrared (TIR) object tracking. However, relying solely on deep learning models to obtain better…
Searching a Lightweight Network Architecture for Thermal Infrared Pedestrian Tracking
Wen-Jia Tang, Xiao Liu, Peng Gao +2
Manually-designed network architectures for thermal infrared pedestrian tracking (TIR-PT) require substantial effort from human experts. AlexNet and ResNet are widely used as backb…
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5
Chun-Lin Ji, Tao Yu, Peng Gao +2
Object detection, a crucial aspect of computer vision, has seen significant advancements in accuracy and robustness. Despite these advancements, practical applications still face n…
Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learning
Peng Gao, Tao Yu, Fei Wang +1
Designing distributed filter circuits (DFCs) is complex and time-consuming, involving setting and optimizing multiple hyperparameters. Traditional optimization methods, such as usi…