4 citations · 4 across the 2 of their papers we have counts for
3 papers
Hierarchical Residual Attention Network for Single Image Super-Resolution
Parichehr Behjati, Pau Rodriguez, Armin Mehri +3
Convolutional neural networks are the most successful models in single image super-resolution. Deeper networks, residual connections, and attention mechanisms have further improved…
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution
Armin Mehri, Parichehr B. Ardakani, Angel D. Sappa
Lightweight super resolution networks have extremely importance for real-world applications. In recent years several SR deep learning approaches with outstanding achievement have b…
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
Parichehr Behjati, Pau Rodriguez, Armin Mehri +3
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs). However, as the depth and width of the networks increase, CNN-…