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Taimoor Tariq

3 papers hereh-index 483 citations11 works total

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

author position
  • first author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.GR1

identity via Semantic Scholar / OpenAlex

activity
20182022
collaborators

3 papers

cs.GR2022

Noise-based Enhancement for Foveated Rendering

Taimoor Tariq, Cara Tursun, Piotr Didyk

Human visual sensitivity to spatial details declines towards the periphery. Novel image synthesis techniques, so-called foveated rendering, exploit this observation and reduce the…

cs.CV2019

A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution

Taimoor Tariq, Juan Luis Gonzalez, Munchurl Kim

Deep Convolutional Neural Network (CNN) features have been demonstrated to be effective perceptual quality features. The perceptual loss, based on feature maps of pre-trained CNN's…

cs.CV2018

Why Are Deep Representations Good Perceptual Quality Features?

Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim +1

Recently, intermediate feature maps of pre-trained convolutional neural networks have shown significant perceptual quality improvements, when they are used in the loss function for…

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