no code implementations • 13 Jul 2021 • Eslam Mohamed, Ahmad El-Sallab
We propose ST-DETR, a Spatio-Temporal Transformer-based architecture for object detection from a sequence of temporal frames.
no code implementations • 21 Jun 2021 • Eslam Mohamed, Ahmad El-Sallab
Several methods of incorporating motion cues with the Transformer model are explored, including two-stream RGB and Optical Flow (OF) methods, and multi-stream architectures that take advantage of sequence information.
no code implementations • 21 Jun 2021 • Eslam Mohamed, Ahmed El-Sallab
Detecting moving objects can be posed as Moving Object Segmentation, by segmenting the object pixels, or Moving Object Detection, by generating a bounding box for the moving targets.
no code implementations • 12 Feb 2021 • Eslam Mohamed, Abdelrahman Shaker, Ahmad El-Sallab, Mayada Hadhoud
We compare our results to the state-of-the-art models for instance segmentation.
no code implementations • 3 Dec 2020 • Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciaran Eising, Ahmad El-Sallab, Senthil Yogamani
It is the first detailed study on object detection on fisheye cameras for autonomous driving scenarios to the best of our knowledge.
no code implementations • 16 Aug 2020 • Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Yogamani, Waleed Hamdy, Muhammad Helmi, Ahmad El-Sallab
Moving object segmentation is a crucial task for autonomous vehicles as it can be used to segment objects in a class agnostic manner based on their motion cues.