20 citations · 42 across the 14 of their papers we have counts for
18 papers
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…
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…
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…
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…
A data-driven proxy to Stoke's flow in porous media
Ali Takbiri-Borujeni, Hadi Kazemi, Nasser Nasrabadi
The objective for this work is to develop a data-driven proxy to high-fidelity numerical flow simulations using digital images. The proposed model can capture the flow field and pe…
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…
Style and Content Disentanglement in Generative Adversarial Networks
Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi
Disentangling factors of variation within data has become a very challenging problem for image generation tasks. Current frameworks for training a Generative Adversarial Network (G…
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 Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks
Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani, Hadi Kazemi +1
Situational awareness in vehicular networks could be substantially improved utilizing reliable trajectory prediction methods. More precise situational awareness, in turn, results i…
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification
Sobhan Soleymani, Ali Dabouei, Seyed Mehdi Iranmanesh +3
In this paper a novel cross-device text-independent speaker verification architecture is proposed. Majority of the state-of-the-art deep architectures that are used for speaker ver…
Deep Sketch-Photo Face Recognition Assisted by Facial Attributes
Seyed Mehdi Iranmanesh, Hadi Kazemi, Sobhan Soleymani +2
In this paper, we present a deep coupled framework to address the problem of matching sketch image against a gallery of mugshots. Face sketches have the essential in- formation abo…
ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction
Ali Dabouei, Sobhan Soleymani, Hadi Kazemi +3
Performing recognition tasks using latent fingerprint samples is often challenging for automated identification systems due to poor quality, distortion, and partially missing infor…
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification
Sobhan Soleymani, Ali Dabouei, Hadi Kazemi +2
In this paper, we propose a deep multimodal fusion network to fuse multiple modalities (face, iris, and fingerprint) for person identification. The proposed deep multimodal fusion…
Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition
Hadi Kazemi, Sobhan Soleymani, Ali Dabouei +2
Face sketches are able to capture the spatial topology of a face while lacking some facial attributes such as race, skin, or hair color. Existing sketch-photo recognition approache…
A Learning-based Stochastic MPC Design for Cooperative Adaptive Cruise Control to Handle Interfering Vehicles
Hadi Kazemi, Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani +1
Vehicle to Vehicle (V2V) communication has a great potential to improve reaction accuracy of different driver assistance systems in critical driving situations. Cooperative Adaptiv…
Deep Cross Polarimetric Thermal-to-visible Face Recognition
Seyed Mehdi Iranmanesh, Ali Dabouei, Hadi Kazemi +1
In this paper, we present a deep coupled learning frame- work to address the problem of matching polarimetric ther- mal face photos against a gallery of visible faces. Polariza- ti…
Fingerprint Distortion Rectification using Deep Convolutional Neural Networks
Ali Dabouei, Hadi Kazemi, Seyed Mehdi Iranmanesh +2
Elastic distortion of fingerprints has a negative effect on the performance of fingerprint recognition systems. This negative effect brings inconvenience to users in authentication…
Polar Coding for Achieving the Capacity of Marginal Channels in Nonbinary-Input Setting
Amirsina Torfi, Sobhan Soleymani, Seyed Mehdi Iranmanesh +3
Achieving information-theoretic security using explicit coding scheme in which unlimited computational power for eavesdropper is assumed, is one of the main topics is security cons…