141 citations · 766 across the 81 of their papers we have counts for
9 papers · 1 filter
Landmark Enforcement and Style Manipulation for Generative Morphing
Samuel Price, Sobhan Soleymani, Nasser M. Nasrabadi
Morph images threaten Facial Recognition Systems (FRS) by presenting as multiple individuals, allowing an adversary to swap identities with another subject. Morph generation using…
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta +4
NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of data each day from its geosynchronous orbit in space. SDO data includes images of the Sun captured at diffe…
Robust Ensemble Morph Detection with Domain Generalization
Hossein Kashiani, Shoaib Meraj Sami, Sobhan Soleymani +1
Although a substantial amount of studies is dedicated to morph detection, most of them fail to generalize for morph faces outside of their training paradigm. Moreover, recent morph…
Pose Attention-Guided Profile-to-Frontal Face Recognition
Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan +1
In recent years, face recognition systems have achieved exceptional success due to promising advances in deep learning architectures. However, they still fail to achieve expected a…
Information Maximization for Extreme Pose Face Recognition
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani +2
In this paper, we seek to draw connections between the frontal and profile face images in an abstract embedding space. We exploit this connection using a coupled-encoder network to…
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…
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…
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans
Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari +2
In this paper, we design a Generative Adversarial Network (GAN)-based solution for super-resolution and segmentation of optical coherence tomography (OCT) scans of the retinal laye…
Superresolution and Segmentation of OCT scans using Multi-Stage adversarial Guided Attention Training
Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari +3
Optical coherence tomography (OCT) is one of the non-invasive and easy-to-acquire biomarkers (the thickness of the retinal layers, which is detectable within OCT scans) being inves…