33 citations · 86 across the 11 of their papers we have counts for
13 papers
ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer
Eslam Mohamed, Ahmad El-Sallab
We propose ST-DETR, a Spatio-Temporal Transformer-based architecture for object detection from a sequence of temporal frames. We treat the temporal frames as sequences in both spac…
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving
Hazem Rashed, Mariam Essam, Maha Mohamed +2
Detection of moving objects is a very important task in autonomous driving systems. After the perception phase, motion planning is typically performed in Bird's Eye View (BEV) spac…
MODETR: Moving Object Detection with Transformers
Eslam Mohamed, Ahmad El-Sallab
Moving Object Detection (MOD) is a crucial task for the Autonomous Driving pipeline. MOD is usually handled via 2-stream convolutional architectures that incorporates both appearan…
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation
Eslam Mohamed, Ahmed El-Sallab
Moving objects have special importance for Autonomous Driving tasks. Detecting moving objects can be posed as Moving Object Segmentation, by segmenting the object pixels, or Moving…
VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving
Hazem Rashed, Ahmad El Sallab, Senthil Yogamani
Moving object Detection (MOD) is a critical task in autonomous driving as moving agents around the ego-vehicle need to be accurately detected for safe trajectory planning. It also…
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab +1
Moving Object Detection (MOD) is a critical task for autonomous vehicles as moving objects represent higher collision risk than static ones. The trajectory of the ego-vehicle is pl…