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20162022
most citedTasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction

2 citations · 3 across the 16 of their papers we have counts for

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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…

cs.CV2021★ 2 cited

Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction

Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani +2

The great success of Convolutional Neural Networks (CNN) for facial attribute prediction relies on a large amount of labeled images. Facial image datasets are usually annotated by…

cs.CV2021

Attribute Guided Sparse Tensor-Based Model for Person Re-Identification

Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani +2

Visual perception of a person is easily influenced by many factors such as camera parameters, pose and viewpoint variations. These variations make person Re-Identification (ReID) a…

cs.CV2021

Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN

Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson +2

In recent years, with the advent of deep-learning, face recognition has achieved exceptional success. However, many of these deep face recognition models perform much better in han…

cs.CV2020

Mutual Information Maximization on Disentangled Representations for Differential Morph Detection

Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani +2

In this paper, we present a novel differential morph detection framework, utilizing landmark and appearance disentanglement. In our framework, the face image is represented in the…