70 citations · 99 across the 8 of their papers we have counts for
8 papers
C2F-CHART: A Curriculum Learning Approach to Chart Classification
Nour Shaheen, Tamer Elsharnouby, Marwan Torki
In scientific research, charts are usually the primary method for visually representing data. However, the accessibility of charts remains a significant concern. In an effort to im…
Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
Nada Osman, Marwan Torki
Anomaly action detection and localization play an essential role in security and advanced surveillance systems. However, due to the tremendous amount of surveillance videos, most o…
Toward Flare-Free Images: A Survey
Yousef Kotp, Marwan Torki
Lens flare is a common image artifact that can significantly degrade image quality and affect the performance of computer vision systems due to a strong light source pointing at th…
DeepLoc: A Ubiquitous Accurate and Low-Overhead Outdoor Cellular Localization System
Ahmed Shokry, Marwan Torki, Moustafa Youssef
Recent years have witnessed fast growth in outdoor location-based services. While GPS is considered a ubiquitous localization system, it is not supported by low-end phones, require…
Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation
Ahmed Taha, Marwan Torki
In this paper, we cast the scribble-based interactive image segmentation as a semi-supervised learning problem. Our novel approach alleviates the need to solve an expensive general…
Linear-time Online Action Detection From 3D Skeletal Data Using Bags of Gesturelets
Moustafa Meshry, Mohamed E. Hussein, Marwan Torki
Sliding window is one direct way to extend a successful recognition system to handle the more challenging detection problem. While action recognition decides only whether or not an…
AlexU-Word: A New Dataset for Isolated-Word Closed-Vocabulary Offline Arabic Handwriting Recognition
Mohamed E. Hussein, Marwan Torki, Ahmed Elsallamy +1
In this paper, we introduce the first phase of a new dataset for offline Arabic handwriting recognition. The aim is to collect a very large dataset of isolated Arabic words that co…
Window-Based Descriptors for Arabic Handwritten Alphabet Recognition: A Comparative Study on a Novel Dataset
Marwan Torki, Mohamed E. Hussein, Ahmed Elsallamy +2
This paper presents a comparative study for window-based descriptors on the application of Arabic handwritten alphabet recognition. We show a detailed experimental evaluation of di…