141 citations · 766 across the 81 of their papers we have counts for
16 papers · 1 filter
Deep Hashing for Secure Multimodal Biometrics
Veeru Talreja, Matthew Valenti, Nasser Nasrabadi
When compared to unimodal systems, multimodal biometric systems have several advantages, including lower error rate, higher accuracy, and larger population coverage. However, multi…
Super-resolution Guided Pore Detection for Fingerprint Recognition
Syeda Nyma Ferdous, Ali Dabouei, Jeremy Dawson +1
Performance of fingerprint recognition algorithms substantially rely on fine features extracted from fingerprints. Apart from minutiae and ridge patterns, pore features have proven…
Differential Morphed Face Detection Using Deep Siamese Networks
Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei +2
Although biometric facial recognition systems are fast becoming part of security applications, these systems are still vulnerable to morphing attacks, in which a facial reference i…
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…
Attribute Adaptive Margin Softmax Loss using Privileged Information
Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi
We present a novel framework to exploit privileged information for recognition which is provided only during the training phase. Here, we focus on recognition task where images are…
Efficient OCT Image Segmentation Using Neural Architecture Search
Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei +3
In this work, we propose a Neural Architecture Search (NAS) for retinal layer segmentation in Optical Coherence Tomography (OCT) scans. We incorporate the Unet architecture in the…
GAN-based Hyperspectral Anomaly Detection
Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol
In this paper, we propose a generative adversarial network (GAN)-based hyperspectral anomaly detection algorithm. In the proposed algorithm, we train a GAN model to generate a synt…
Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network
Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan +1
In many domestic and military applications, aerial vehicle detection and super-resolutionalgorithms are frequently developed and applied independently. However, aerial vehicle dete…
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…
Quality Guided Sketch-to-Photo Image Synthesis
Uche Osahor, Hadi Kazemi, Ali Dabouei +1
Facial sketches drawn by artists are widely used for visual identification applications and mostly by law enforcement agencies, but the quality of these sketches depend on the abil…
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…
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
Seyed Mehdi Iranmanesh, Ali Dabouei, Sobhan Soleymani +2
In this work, we present a practical approach to the problem of facial landmark detection. The proposed method can deal with large shape and appearance variations under the rich sh…