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Parichehr Behjati

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedHierarchical Residual Attention Network for Single Image Super-Resolution

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2020★ 4 cited

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…

eess.IV2020

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-…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.