20 citations · 25 across the 20 of their papers we have counts for
26 papers
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…
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…
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…
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…
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…
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…
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…
Matching Distributions via Optimal Transport for Semi-Supervised Learning
Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei +2
Semi-Supervised Learning (SSL) approaches have been an influential framework for the usage of unlabeled data when there is not a sufficient amount of labeled data available over th…
Cross-Spectral Iris Matching Using Conditional Coupled GAN
Moktari Mostofa, Fariborz Taherkhani, Jeremy Dawson +1
Cross-spectral iris recognition is emerging as a promising biometric approach to authenticating the identity of individuals. However, matching iris images acquired at different spe…
PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild
Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson +2
In recent years, due to the emergence of deep learning, face recognition has achieved exceptional success. However, many of these deep face recognition models perform relatively po…
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval
Fariborz Taherkhani, Veeru Talreja, Matthew C. Valenti +1
Cross-modal hashing facilitates mapping of heterogeneous multimedia data into a common Hamming space, which can beutilized for fast and flexible retrieval across different modaliti…
SuperMix: Supervising the Mixing Data Augmentation
Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani +1
This paper presents a supervised mixing augmentation method termed SuperMix, which exploits the salient regions within input images to construct mixed training samples. SuperMix is…
Boosting Deep Face Recognition via Disentangling Appearance and Geometry
Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani +2
In this paper, we propose a framework for disentangling the appearance and geometry representations in the face recognition task. To provide supervision for this aim, we generate g…
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani +2
Deep neural networks are susceptible to adversarial manipulations in the input domain. The extent of vulnerability has been explored intensively in cases of -bounded and $\…
Identity-Aware Deep Face Hallucination via Adversarial Face Verification
Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi
In this paper, we address the problem of face hallucination by proposing a novel multi-scale generative adversarial network (GAN) architecture optimized for face verification. Firs…
Deep Sparse Band Selection for Hyperspectral Face Recognition
Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi
Hyperspectral imaging systems collect and process information from specific wavelengths across the electromagnetic spectrum. The fusion of multi-spectral bands in the visible spect…
Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition
Veeru Talreja, Fariborz Taherkhani, Matthew C Valenti +1
In this paper, we propose a novel attribute-guided cross-resolution (low-resolution to high-resolution) face recognition framework that leverages a coupled generative adversarial n…
Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval
Veeru Talreja, Fariborz Taherkhani, Matthew C. Valenti +1
With benefits of fast query speed and low storage cost, hashing-based image retrieval approaches have garnered considerable attention from the research community. In this paper, we…
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani +2
Unsupervised image-to-image translation is a class of computer vision problems which aims at modeling conditional distribution of images in the target domain, given a set of unpair…
Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis
Hadi Kazemi, Fariborz Taherkhani, Nasser M. Nasrabadi
Face sketch-photo synthesis is a critical application in law enforcement and digital entertainment industry where the goal is to learn the mapping between a face sketch image and i…
A Deep Face Identification Network Enhanced by Facial Attributes Prediction
Fariborz Taherkhani, Nasser M. Nasrabadi, Jeremy Dawson
In this paper, we propose a new deep framework which predicts facial attributes and leverage it as a soft modality to improve face identification performance. Our model is an end t…
Blood capillaries and vessels segmentation in optical coherence tomography angiogram using fuzzy C-means and Curvelet transform
Fariborz Taherkhani
This paper has been removed from arXiv as the submitter did not have ownership of the data presented in this work.
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…
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…