activity
20172020
most citedSpatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques

16 citations · 31 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV20202 cited

Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images

Mohammed Hossny, Khaled Saleh, Mohammed Attia +2

LiDAR data is becoming increasingly essential with the rise of autonomous vehicles. Its ability to provide 360deg horizontal field of view of point cloud, equips self-driving vehic…

cs.LG2020

Refined Continuous Control of DDPG Actors via Parametrised Activation

Mohammed Hossny, Julie Iskander, Mohammed Attia +1

In this paper, we propose enhancing actor-critic reinforcement learning agents by parameterising the final actor layer which produces the actions in order to accommodate the behavi…

cs.CV2019

Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data

Khaled Saleh, Ahmed Abobakr, Mohammed Attia +3

Point cloud data from 3D LiDAR sensors are one of the most crucial sensor modalities for versatile safety-critical applications such as self-driving vehicles. Since the annotations…

cs.CV20192 cited

Realistic Hair Simulation Using Image Blending

Mohamed Attia, Mohammed Hossny, Saeid Nahavandi +2

In this presented work, we propose a realistic hair simulator using image blending for dermoscopic images. This hair simulator can be used for benchmarking and validation of the ha…

cs.CL2018

Diacritization of Maghrebi Arabic Sub-Dialects

Ahmed Abdelali, Mohammed Attia, Younes Samih +2

Diacritization process attempt to restore the short vowels in Arabic written text; which typically are omitted. This process is essential for applications such as Text-to-Speech (T…

cs.CL201711 cited

Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM

Mohamed Eldesouki, Younes Samih, Ahmed Abdelali +4

Arabic word segmentation is essential for a variety of NLP applications such as machine translation and information retrieval. Segmentation entails breaking words into their consti…