9 citations · 19 across the 4 of their papers we have counts for
4 papers
Enhancing image captioning with depth information using a Transformer-based framework
Aya Mahmoud Ahmed, Mohamed Yousef, Khaled F. Hussain +1
Captioning images is a challenging scene-understanding task that connects computer vision and natural language processing. While image captioning models have been successful in pro…
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef, Marcel Ackermann, Unmesh Kurup +1
Unsupervised Anomaly detection (AD) requires building a notion of normalcy, distinguishing in-distribution (ID) and out-of-distribution (OOD) data, using only available ID samples.…
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
Mohamed Yousef, Tom E. Bishop
Text recognition is a major computer vision task with a big set of associated challenges. One of those traditional challenges is the coupled nature of text recognition and segmenta…
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
Mohamed Yousef, Khaled F. Hussain, Usama S. Mohammed
Unconstrained text recognition is an important computer vision task, featuring a wide variety of different sub-tasks, each with its own set of challenges. One of the biggest promis…