91 citations · 215 across the 16 of their papers we have counts for
16 papers
Task Offloading Optimization in Mobile Edge Computing under Uncertain Processing Cycles and Intermittent Communications
Tao Deng, Zhanwei Yu, Di Yuan
Mobile edge computing (MEC) has been regarded as a promising approach to deal with explosive computation requirements by enabling cloud computing capabilities at the edge of networ…
Robust Divergence Angle for Inter-satellite Laser Communications under Target Deviation Uncertainty
Zhanwei Yu, Yi Zhao, Di Yuan
Performance degradation due to target deviation by, for example, drift or jitter, presents a significant issue to inter-satellite laser communications. In particular, with periodic…
Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing
Zhanwei Yu, Yi Zhao, Tao Deng +2
In sprite the state-of-the-art, significantly reducing carbon footprint (CF) in communications systems remains urgent. We address this challenge in the context of edge computing. T…
Multi-cell Content Caching: Optimization for Cost and Information Freshness
Zhanwei Yu, Tao Deng, Yi Zhao +1
In multi-access edge computing (MEC) systems, there are multiple local cache servers caching contents to satisfy the users' requests, instead of letting the users download via the…
Active Learning for Deep Visual Tracking
Di Yuan, Xiaojun Chang, Yi Yang +3
Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous label…
Resource Optimization with Interference Coupling in Multi-RIS-assisted Multi-cell Systems
Zhanwei Yu, Di Yuan
Deploying reconfigurable intelligent surface (RIS) to enhance wireless transmission is a promising approach. In this paper, we investigate large-scale multi-RIS-assisted multi-cell…
SiamCorners: Siamese Corner Networks for Visual Tracking
Kai Yang, Zhenyu He, Wenjie Pei +4
The current Siamese network based on region proposal network (RPN) has attracted great attention in visual tracking due to its excellent accuracy and high efficiency. However, the…
QoS Aware Robot Trajectory Optimization with IRS-Assisted Millimeter-Wave Communications
Cristian Tatino, Nikolaos Pappas, Di Yuan
In this paper, we consider the motion energy minimization problem for a robot that uses millimeter-wave (mm-wave) communications assisted by an intelligent reflective surface (IRS)…
FPAENet: Pneumonia Detection Network Based on Feature Pyramid Attention Enhancement
Xudong Zhang, Bo Wang, Di Yuan +2
Automatic pneumonia Detection based on deep learning has increasing clinical value. Although the existing Feature Pyramid Network (FPN) and its variants have already achieved some…
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism
Di Yuan, Junyang Chen, Zhenghua Xu +3
Because the expansion path of U-Net may ignore the characteristics of small targets, intermediate supervision mechanism is proposed. The original mask is also entered into the netw…
Robot Trajectory Planning With QoS Constrained IRS-assisted Millimeter-Wave Communications
Cristian Tatino, Nikolaos Pappas, Di Yuan
This paper considers the joint optimization of trajectory and beamforming of a wirelessly connected robot using intelligent reflective surface (IRS)-assisted millimeter-wave (mm-wa…
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Qiao Liu, Xin Li, Zhenyu He +8
In this paper, we present a Large-Scale and high-diversity general Thermal InfraRed (TIR) Object Tracking Benchmark, called LSOTBTIR, which consists of an evaluation dataset and a…
Accurate Bounding-box Regression with Distance-IoU Loss for Visual Tracking
Di Yuan, Xiu Shu, Nana Fan +3
Most existing trackers are based on using a classifier and multi-scale estimation to estimate the target state. Consequently, and as expected, trackers have become more stable whil…
Multi-Task Driven Feature Models for Thermal Infrared Tracking
Qiao Liu, Xin Li, Zhenyu He +4
Existing deep Thermal InfraRed (TIR) trackers usually use the feature models of RGB trackers for representation. However, these feature models learned on RGB images are neither eff…
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
Qiao Liu, Xin Li, Zhenyu He +3
Existing deep Thermal InfraRed (TIR) trackers only use semantic features to describe the TIR object, which lack the sufficient discriminative capacity for handling distractors. Thi…
Particle filter re-detection for visual tracking via correlation filters
Di Yuan, Xiaohuan Lu, Donghao Li +2
Most of the correlation filter based tracking algorithms can achieve good performance and maintain fast computational speed. However, in some complicated tracking scenes, there is…