16 citations · 41 across the 7 of their papers we have counts for
4 papers · 1 filter
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
Mohammad Akbari, Jie Liang, Jingning Han +1
Recently deep learning-based image compression has shown the potential to outperform traditional codecs. However, most existing methods train multiple networks for multiple bit rat…
Twitter Spam Detection: A Systematic Review
Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari +1
Nowadays, with the rise of Internet access and mobile devices around the globe, more people are using social networks for collaboration and receiving real-time information. Twitter…
Learned Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution
Jianping Lin, Mohammad Akbari, Haisheng Fu +7
In this proposal, we design a learned multi-frequency image compression approach that uses generalized octave convolutions to factorize the latent representations into high-frequen…
DRL-Based QoS-Aware Resource Allocation Scheme for Coexistence of Licensed and Unlicensed Users in LTE and Beyond
Mahdi Nouri Boroujerdi, Mohammad Akbari, Roghayeh Joda +2
In this paper, we employ deep reinforcement learning to develop a novel radio resource allocation and packet scheduling scheme for different Quality of Service (QoS) requirements a…