187 citations · 440 across the 11 of their papers we have counts for
11 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…
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…
Vision-Language Navigation with Embodied Intelligence: A Survey
Peng Gao, Peng Wang, Feng Gao +2
As a long-term vision in the field of artificial intelligence, the core goal of embodied intelligence is to improve the perception, understanding, and interaction capabilities of a…
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…
Learning Cascaded Siamese Networks for High Performance Visual Tracking
Peng Gao, Yipeng Ma, Ruyue Yuan +2
Visual tracking is one of the most challenging computer vision problems. In order to achieve high performance visual tracking in various negative scenarios, a novel cascaded Siames…
Siamese Attentional Keypoint Network for High Performance Visual Tracking
Peng Gao, Ruyue Yuan, Fei Wang +3
In this paper, we investigate the impacts of three main aspects of visual tracking, i.e., the backbone network, the attentional mechanism, and the detection component, and propose…
A Novel Low-cost FPGA-based Real-time Object Tracking System
Peng Gao, Ruyue Yuan, Zhicong Lin +2
In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power. Therefore, in…