103 citations · 257 across the 14 of their papers we have counts for
14 papers
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Zhaozheng Chen, Tan Wang, Xiongwei Wu +3
Extracting class activation maps (CAM) is arguably the most standard step of generating pseudo masks for weakly-supervised semantic segmentation (WSSS). Yet, we find that the crux…
A Large-Scale Benchmark for Food Image Segmentation
Xiongwei Wu, Xin Fu, Ying Liu +3
Food image segmentation is a critical and indispensible task for developing health-related applications such as estimating food calories and nutrients. Existing food image segmenta…
Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff
Xiongwei Wu, Xiuhua Li, Jun Li +2
In most Internet of Things (IoT) networks, edge nodes are commonly used as to relays to cache sensing data generated by IoT sensors as well as provide communication services for da…
Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic
Xiongwei Wu, Xiuhua Li, Jun Li +3
Edge nodes (ENs) in Internet of Things commonly serve as gateways to cache sensing data while providing accessing services for data consumers. This paper considers multiple ENs tha…
Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization
Xiongwei Wu, Jun Li, Ming Xiao +2
Introducing cooperative coded caching into small cell networks is a promising approach to reducing traffic loads. By encoding content via maximum distance separable (MDS) codes, co…
Latency-Minimized Design of Secure Transmissions in UAV-Aided Communications
Xiongwei Wu, Qiang Li, Yawei Lu +3
Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations to provide communication service for remote mobile users due to their high mobility and flexible deployment.…
Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
Xiongwei Wu, Qiang Li, Xiuhua Li +2
Explosive growth of mobile data demand may impose a heavy traffic burden on fronthaul links of cloud-based small cell networks (C-SCNs), which deteriorates users' quality of servic…
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging
Doyen Sahoo, Wang Hao, Shu Ke +5
An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular…
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
Object detection is a fundamental visual recognition problem in computer vision and has been widely studied in the past decades. Visual object detection aims to find objects of cer…
Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach
Xiongwei Wu, Qiang Li, Victor C. M. Leung +1
The performance of cloud-based small cell networks (C-SCNs) relies highly on a capacity-limited fronthaul, which degrade quality of service when it is saturated. Coded caching is a…
Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks
Xiongwei Wu, Qiang Li, Xiuhua Li +2
Recent years have witnessed an exponential growth of mobile data traffic, which may lead to a serious traffic burn on the wireless networks and considerable power consumption. Netw…
Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection
Xiongwei Wu, Daoxin Zhang, Jianke Zhu +1
Recent years have witnessed many exciting achievements for object detection using deep learning techniques. Despite achieving significant progresses, most existing detectors are de…
Feature Agglomeration Networks for Single Stage Face Detection
Jialiang Zhang, Xiongwei Wu, Jianke Zhu +1
Recent years have witnessed promising results of face detection using deep learning. Despite making remarkable progresses, face detection in the wild remains an open research chall…
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
Steven C. H. Hoi, Xiongwei Wu, Hantang Liu +4
Logo detection from images has many applications, particularly for brand recognition and intellectual property protection. Most existing studies for logo recognition and detection…