11 citations · 19 across the 4 of their papers we have counts for
8 papers · 1 filter
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving
George Eskandar, Alexander Braun, Martin Meinke +2
Predicting future 3D LiDAR pointclouds is a challenging task that is useful in many applications in autonomous driving such as trajectory prediction, pose forecasting and decision…
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
Bin Yang, Runsheng Guo, Ming Liang +2
We tackle the problem of exploiting Radar for perception in the context of self-driving as Radar provides complementary information to other sensors such as LiDAR or cameras in the…
Unsupervised Medical Image Translation Using Cycle-MedGAN
Karim Armanious, Chenming Jiang, Sherif Abdulatif +3
Image-to-image translation is a new field in computer vision with multiple potential applications in the medical domain. However, for supervised image translation frameworks, co-re…
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs
Karim Armanious, Sherif Abdulatif, Fady Aziz +2
Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications. However, it suffers from stringent constraints on its design parametr…
Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers
Sherif Abdulatif, Fady Aziz, Karim Armanious +3
Obtaining a smart surveillance requires a sensing system that can capture accurate and detailed information for the human walking style. The radar micro-Doppler (-D)…
Towards Adversarial Denoising of Radar Micro-Doppler Signatures
Sherif Abdulatif, Karim Armanious, Fady Aziz +2
Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation. They learn the joint distribution of the training data and attempt to g…