279 citations · 763 across the 22 of their papers we have counts for
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cs.CV2019
Spatial Sampling Network for Fast Scene Understanding
Davide Mazzini, Raimondo Schettini
We propose a network architecture to perform efficient scene understanding. This work presents three main novelties: the first is an Improved Guided Upsampling Module that can repl…
cs.CV2019★ 28 cited
Deep Residual Autoencoder for quality independent JPEG restoration
Simone Zini, Simone Bianco, Raimondo Schettini
In this paper we propose a deep residual autoencoder exploiting Residual-in-Residual Dense Blocks (RRDB) to remove artifacts in JPEG compressed images that is independent from the…