1 citations · 1 across the 2 of their papers we have counts for
8 papers
Multiple Pedestrians and Vehicles Tracking in Aerial Imagery: A Comprehensive Study
Seyed Majid Azimi, Maximilian Kraus, Reza Bahmanyar +1
In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-resolution aerial imagery by intensive evaluation of a number of traditional and Deep…
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes
Seyed Majid Azimi, Corentin Henry, Lars Sommer +2
Understanding the complex urban infrastructure with centimeter-level accuracy is essential for many applications from autonomous driving to mapping, infrastructure monitoring, and…
EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery
Seyed Majid Azimi, Reza Bahmanyar, Corenin Henry +1
Multi-class vehicle detection from airborne imagery with orientation estimation is an important task in the near and remote vision domains with applications in traffic monitoring a…
AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
Maximilian Kraus, Seyed Majid Azimi, Emec Ercelik +3
Multi-pedestrian tracking in aerial imagery has several applications such as large-scale event monitoring, disaster management, search-and-rescue missions, and as input into predic…
ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery
Seyed Majid Azimi
On-board real-time vehicle detection is of great significance for UAVs and other embedded mobile platforms. We propose a computationally inexpensive detection network for vehicle d…
Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery
Seyed Majid Azimi, Eleonora Vig, Reza Bahmanyar +2
Automatic multi-class object detection in remote sensing images in unconstrained scenarios is of high interest for several applications including traffic monitoring and disaster ma…