22 citations · 23 across the 2 of their papers we have counts for
3 papers
cs.CV2020★ 1 cited
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…
cs.CV2019★ 22 cited
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery
Reza Bahmanyar, Elenora Vig, Peter Reinartz
In spite of the many advantages of aerial imagery for crowd monitoring and management at mass events, datasets of aerial images of crowds are still lacking in the field. As a remed…
cs.CV2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon +1
Modern computer vision algorithms typically require expensive data acquisition and accurate manual labeling. In this work, we instead leverage the recent progress in computer graph…