20 citations · 25 across the 20 of their papers we have counts for
5 papers · 1 filter
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…