20 citations · 42 across the 14 of their papers we have counts for
12 papers · 1 filter
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…