187 citations · 205 across the 4 of their papers we have counts for
5 papers · 1 filter
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…
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…