207 citations · 353 across the 6 of their papers we have counts for
15 papers
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…