Rashed, Hazem

WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving

Yogamani, S., Hughes, C., Horgan, J., Sistu, G., Chennupati, S., Uricar, M., Milz, S., Simon, M., Amende, K., Witt, C., et al. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 334

OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving

Ravi Kumar, V., Yogamani, S., Rashed, H., Sitsu, G., Witt, C., Leang, I., Milz, S., & Mader, P. (2021) · IEEE Robotics and Automation Letters

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 121

RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving

El Madawi, K., Rashed, H., El Sallab, A., Nasr, O., Kamel, H., & Yogamani, S. (2019) · 2019 IEEE Intelligent Transportation Systems Conference (ITSC)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 116

Let’s Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving

Uricar, M., Sistu, G., Rashed, H., Vobecky, A., Kumar, V. R., Krizek, P., Burger, F., & Yogamani, S. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 66

Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation

Rashed, H., El Sallab, A., Yogamani, S., & ElHelw, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 38