activity
20162022
most citedAn ensemble learning method for scene classification based on Hidden Markov Model image representation

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2022

Revisiting Outer Optimization in Adversarial Training

Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani +1

Despite the fundamental distinction between adversarial and natural training (AT and NT), AT methods generally adopt momentum SGD (MSGD) for the outer optimization. This paper aims…

cs.CV2022

Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance

Fariborz Taherkhani, Aashish Rai, Quankai Gao +6

3D face modeling has been an active area of research in computer vision and computer graphics, fueling applications ranging from facial expression transfer in virtual avatars to sy…

cs.CV2021

Quality-Aware Multimodal Biometric Recognition

Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani +3

We present a quality-aware multimodal recognition framework that combines representations from multiple biometric traits with varying quality and number of samples to achieve incre…

q-bio.OT2016

Permutation, Multiscale and Modified Multiscale Entropies a Natural Complexity for Low-High Infection Level Intracellular Viral Reaction Kinetics

Fariborz Taherkhani, Farid Taherkhani

Viral infectious diseases, such as HIV virus growth, cause an important health concern. Study of intracellular viral processes can provide us to develop drug and understanding the…

cs.MM2016

Restoring highly corrupted images by impulse noise using radial basis functions interpolation

Fariborz Taherkhani, Mansour Jamzad

Preserving details in restoring images highly corrupted by impulse noise remains a challenging problem. We proposed an algorithm based on radial basis functions (RBF) interpolation…

cs.CV2016

A probabilistic patch based image representation using Conditional Random Field model for image classification

Fariborz Taherkhani

In this paper we proposed an ordered patch based method using Conditional Random Field (CRF) in order to encode local properties and their spatial relationship in images to address…