34 citations · 76 across the 13 of their papers we have counts for
13 papers
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN
Zahra Dehghanian, Saeed Saravani, Maryam Amirmazlaghani +1
This study presents an adversarial method for anomaly detection in real-world applications, leveraging the power of generative adversarial neural networks (GANs) through cycle cons…
An Analytic Framework for Robust Training of Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
The reliability of a learning model is key to the successful deployment of machine learning in various industries. Creating a robust model, particularly one unaffected by adversari…
Triple Motion Estimation and Frame Interpolation based on Adaptive Threshold for Frame Rate Up-Conversion
Hanieh Naderi, Mohammad Rahmati
In this paper, we propose a novel motion-compensated frame rate up-conversion (MC-FRUC) algorithm. The proposed algorithm creates interpolated frames by first estimating motion vec…
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
Ali Abbasi, Mohammad Rahmati
Over the past few decades, numerous attempts have been made to address the problem of recovering a high-resolution (HR) facial image from its corresponding low-resolution (LR) coun…
Xp-GAN: Unsupervised Multi-object Controllable Video Generation
Bahman Rouhani, Mohammad Rahmati
Video Generation is a relatively new and yet popular subject in machine learning due to its vast variety of potential applications and its numerous challenges. Current methods in V…
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
In this paper, we study the adversarial examples existence and adversarial training from the standpoint of convergence and provide evidence that pointwise convergence in ANNs can e…
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati +1
In this paper, we propose a novel pooling layer for graph neural networks based on maximizing the mutual information between the pooled graph and the input graph. Since the maximum…
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning
Ali Atghaei, Soroush Ziaeinejad, Mohammad Rahmati
Abnormal event detection (AED) in urban surveillance videos has multiple challenges. Unlike other computer vision problems, the AED is not solely dependent on the content of frames…
Cross-domain recommender system using Generalized Canonical Correlation Analysis
Seyed Mohammad Hashemi, Mohammad Rahmati
Recommender systems provide personalized recommendations to the users from a large number of possible options in online stores. Matrix factorization is a well-known and accurate co…
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data
Maryam Abdolali, Mohammad Rahmati
In this paper, we consider the problem of subspace clustering in presence of contiguous noise, occlusion and disguise. We argue that self-expressive representation of data in curre…
Scalable and Robust Sparse Subspace Clustering Using Randomized Clustering and Multilayer Graphs
Maryam Abdolali, Nicolas Gillis, Mohammad Rahmati
Sparse subspace clustering (SSC) is one of the current state-of-the-art methods for partitioning data points into the union of subspaces, with strong theoretical guarantees. Howeve…
An Efficient Evolutionary Based Method For Image Segmentation
Roohollah Aslanzadeh, Kazem Qazanfari, Mohammad Rahmati
The goal of this paper is to present a new efficient image segmentation method based on evolutionary computation which is a model inspired from human behavior. Based on this model,…
Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture
Erfan Zangeneh, Mohammad Rahmati, Yalda Mohsenzadeh
We propose a novel couple mappings method for low resolution face recognition using deep convolutional neural networks (DCNNs). The proposed architecture consists of two branches o…