4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
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…
cs.CV2021★ 4 cited
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…
cs.CV2021
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…