21 citations · 21 across the 2 of their papers we have counts for
5 papers
3D CNNs with Adaptive Temporal Feature Resolutions
Mohsen Fayyaz, Emad Bahrami, Ali Diba +4
While state-of-the-art 3D Convolutional Neural Networks (CNN) achieve very good results on action recognition datasets, they are computationally very expensive and require many GFL…
Self-Supervised Representation Learning via Neighborhood-Relational Encoding
Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli
In this paper, we propose a novel self-supervised representation learning by taking advantage of a neighborhood-relational encoding (NRE) among the training data. Conventional unsu…
AVID: Adversarial Visual Irregularity Detection
Mohammad Sabokrou, Masoud Pourreza, Mohsen Fayyaz +4
Real-time detection of irregularities in visual data is very invaluable and useful in many prospective applications including surveillance, patient monitoring systems, etc. With th…
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz +2
Major winning Convolutional Neural Networks (CNNs), such as VGGNet, ResNet, DenseNet, \etc, include tens to hundreds of millions of parameters, which impose considerable computatio…
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy +1
Novelty detection is the process of identifying the observation(s) that differ in some respect from the training observations (the target class). In reality, the novelty class is o…