4 citations · 10 across the 5 of their papers we have counts for
5 papers
Modeling and Performance Analysis for Semantic Communications Based on Empirical Results
Shuai Ma, Bin Shen, Chuanhui Zhang +5
Due to the black-box characteristics of deep learning based semantic encoders and decoders, finding a tractable method for the performance analysis of semantic communications is a…
Visual Environment-Interactive Planning for Embodied Complex-Question Answering
Ning Lan, Baoshan Ou, Xuemei Xie +1
This study focuses on Embodied Complex-Question Answering task, which means the embodied robot need to understand human questions with intricate structures and abstract semantics.…
Semantic Feature Division Multiple Access for Digital Semantic Broadcast Channels
Shuai Ma, Zhiye Sun, Bin Shen +5
In this paper, we propose a digital semantic feature division multiple access (SFDMA) paradigm in multi-user broadcast (BC) networks for the inference and the image reconstruction…
Semantic Feature Division Multiple Access for Multi-user Digital Interference Networks
Shuai Ma, Chuanhui Zhang, Bin Shen +5
With the ever-increasing user density and quality of service (QoS) demand,5G networks with limited spectrum resources are facing massive access challenges. To address these challen…
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…