25 citations · 71 across the 35 of their papers we have counts for
37 papers · 1 filter
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data
Mohammadreza Naderi, Nader Karimi, Ali Emami +2
Learning to translate images from a source to a target domain with applications such as converting simple line drawing to oil painting has attracted significant attention. The qual…
OAIR: Object-Aware Image Retargeting Using PSO and Aesthetic Quality Assessment
Mohammad Reza Naderi, Mohammad Hossein Givkashi, Nader Karimi +2
Image retargeting aims at altering an image size while preserving important content and minimizing noticeable distortions. However, previous image retargeting methods create output…
Adaptive search area for fast motion estimation
S. M. Reza Soroushmehr, Shadrokh Samavi, Shahram Shirani
This paper suggests a new method for determining the search area for a motion estimation algorithm based on block matching. The search area is adaptively found in the proposed meth…
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection
Ghazaleh Ghorbanzadeh, Zahra Nabizadeh, Nader Karimi +3
Brain-computer interface systems aim to facilitate human-computer interactions in a great deal by direct translation of brain signals for computers. Recently, using many electrodes…
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
Mohammadreza Naderi, Zahra Nabizadeh, Nader Karimi +2
Conditional Generative Adversarial Networks (cGANs) have been used in many image processing tasks. However, they still have serious problems maintaining the balance between conditi…
Compound Frechet Inception Distance for Quality Assessment of GAN Created Images
Eric J. Nunn, Pejman Khadivi, Shadrokh Samavi
Generative adversarial networks or GANs are a type of generative modeling framework. GANs involve a pair of neural networks engaged in a competition in iteratively creating fake da…