activity
20172023
most cited3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition

119 citations · 134 across the 20 of their papers we have counts for

collaborators

33 papers

cs.CV2023

Synthetic Latent Fingerprint Generation Using Style Transfer

Amol S. Joshi, Ali Dabouei, Nasser Nasrabadi +1

Limited data availability is a challenging problem in the latent fingerprint domain. Synthetically generated fingerprints are vital for training data-hungry neural network-based al…

cs.CV2022★ 2 cited

Benchmarking Human Face Similarity Using Identical Twins

Shoaib Meraj Sami, John McCauley, Sobhan Soleymani +2

The problem of distinguishing identical twins and non-twin look-alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adopt…

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

Morph Detection Enhanced by Structured Group Sparsity

Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani +2

In this paper, we consider the challenge of face morphing attacks, which substantially undermine the integrity of face recognition systems such as those adopted for use in border p…

cs.CV2021★ 1 cited

Adversarially Perturbed Wavelet-based Morphed Face Generation

Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary +3

Morphing is the process of combining two or more subjects in an image in order to create a new identity which contains features of both individuals. Morphed images can fool Facial…

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…