207 citations · 398 across the 15 of their papers we have counts for
18 papers
PatchTrack: Multiple Object Tracking Using Frame Patches
Xiaotong Chen, Seyed Mehdi Iranmanesh, Kuo-Chin Lien
Object motion and object appearance are commonly used information in multiple object tracking (MOT) applications, either for associating detections across frames in tracking-by-det…
Quality-Aware Multimodal Biometric Recognition
Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani +3
We present a quality-aware multimodal recognition framework that combines representations from multiple biometric traits with varying quality and number of samples to achieve incre…
HGAN: Hybrid Generative Adversarial Network
Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi
In this paper, we present a simple approach to train Generative Adversarial Networks (GANs) in order to avoid a \textit {mode collapse} issue. Implicit models such as GANs tend to…
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…
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…
Empirical Upper Bound in Object Detection and More
Ali Borji, Seyed Mehdi Iranmanesh
Object detection remains as one of the most notorious open problems in computer vision. Despite large strides in accuracy in recent years, modern object detectors have started to s…
Attribute-Guided Deep Polarimetric Thermal-to-visible Face Recognition
Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi
In this paper, we present an attribute-guided deep coupled learning framework to address the problem of matching polarimetric thermal face photos against a gallery of visible faces…
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…
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…
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…
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…
Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones, Seyed Mehdi Iranmanesh +1
This work provides a framework for addressing the problem of supervised domain adaptation with deep models. The main idea is to exploit adversarial learning to learn an embedded su…
3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition
Amirsina Torfi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi +1
Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker v…
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…