33 citations · 34 across the 4 of their papers we have counts for
6 papers
Contextual Unsupervised Outlier Detection in Sequences
Mohamed A. Zahran, Leonardo Teixeira, Vinayak Rao +1
This work proposes an unsupervised learning framework for trajectory (sequence) outlier detection that combines ranking tests with user sequence models. The overall framework ident…
A Survey on GAN Acceleration Using Memory Compression Technique
Dina Tantawy, Mohamed Zahran, Amr Wassal
Since its invention, Generative adversarial networks (GANs) have shown outstanding results in many applications. Generative Adversarial Networks are powerful yet, resource-hungry d…
The Case for Learning Application Behavior to Improve Hardware Energy Efficiency
Kevin Weston, Vahid Jafanza, Arnav Kansal +3
Computer applications are continuously evolving. However, significant knowledge can be harvested from a set of applications and applied in the context of unknown applications. In t…
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
Jianfei Gao, Mohamed A. Zahran, Amit Sheoran +2
We consider the task of learning a parametric Continuous Time Markov Chain (CTMC) sequence model without examples of sequences, where the training data consists entirely of aggrega…
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving
Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran +1
In the autonomous driving domain, data collection and annotation from real vehicles are expensive and sometimes unsafe. Simulators are often used for data augmentation, which requi…
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
Waleed Ali, Sherif Abdelkarim, Mohamed Zahran +2
Object detection and classification in 3D is a key task in Automated Driving (AD). LiDAR sensors are employed to provide the 3D point cloud reconstruction of the surrounding enviro…