no code implementations • 18 Mar 2023 • Waqas Manzoor, Samir Rawashdeh, Alireza Mohammadi
Koopman operator theory has proven to be a promising approach to nonlinear system identification and global linearization.
no code implementations • 29 Dec 2022 • Zaid El-Shair, Samir Rawashdeh
Results show significant performance gains resembled by an improvement in the HOTA from 56. 6%, using only frames, to 64. 1% and 64. 9%, for the event and edge-based mask configurations combined with the two methods proposed, at the baseline framerate of 24Hz.
no code implementations • 9 Feb 2021 • Mayuresh Savargaonkar, Abdallah Chehade, Samir Rawashdeh
Over the last few decades, many architectures have been developed that harness the power of neural networks to detect objects in near real-time.
no code implementations • 10 Feb 2019 • Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Ciaran Hughes, Stefan Milz, Senthil Yogamani, Samir Rawashdeh
In this paper, we propose a joint multi-task network design for learning several tasks simultaneously.
no code implementations • 17 Jan 2019 • Sumanth Chennupati, Ganesh Sistu, Senthil Yogamani, Samir Rawashdeh
Decision making in automated driving is highly specific to the environment and thus semantic segmentation plays a key role in recognizing the objects in the environment around the car.