1.5k citations · 1.7k across the 12 of their papers we have counts for
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Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi, Aaron Chadha, Alhabib Abbas +2
Neuromorphic vision sensing (NVS)\ devices represent visual information as sequences of asynchronous discrete events (a.k.a., "spikes") in response to changes in scene reflectance.…
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi, Aaron Chadha, Alhabib Abbas +2
Neuromorphic vision sensing (NVS)\ devices represent visual information as sequences of asynchronous discrete events (a.k.a., ``spikes'') in response to changes in scene reflectanc…
Deep Video Precoding
Eirina Bourtsoulatze, Aaron Chadha, Ilya Fadeev +2
Several groups are currently investigating how deep learning may advance the state-of-the-art in image and video coding. An open question is how to make deep neural networks work i…
Tile-Based Joint Caching and Delivery of Videos in Heterogeneous Networks
Pantelis Maniotis, Eirina Bourtsoulatze, Nikolaos Thomos
The recent surge of applications involving the use of video challenges mobile networks infrastructure, as video files are of significant size, and current delivery…
PopNetCod: A Popularity-based Caching Policy for Network Coding enabled Named Data Networking
Jonnahtan Saltarin, Torsten Braun, Eirina Bourtsoulatze +1
In this paper, we propose PopNetCod, a popularity-based caching policy for network coding enabled Named Data Networking. PopNetCod is a distributed caching policy, in which each ro…