16 citations · 22 across the 6 of their papers we have counts for
5 papers · 1 filter
SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception
Jinsub Yim, Hyungtae Lee, Sungmin Eum +4
We introduce SynPlay, a large-scale synthetic human dataset purpose-built for advancing multi-perspective human localization, with a predominant focus on aerial-view perception. Sy…
Exploring the Impact of Synthetic Data for Aerial-view Human Detection
Hyungtae Lee, Yan Zhang, Yi-Ting Shen +2
Aerial-view human detection has a large demand for large-scale data to capture more diverse human appearances compared to ground-view human detection. Therefore, synthetic data can…
Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection
Yi-Ting Shen, Hyungtae Lee, Heesung Kwon +1
Synthetic data generation has emerged as a promising solution to the data scarcity issue in aerial-view human detection. However, creating datasets that accurately reflect varying…
Progressive Transformation Learning for Leveraging Virtual Images in Training
Yi-Ting Shen, Hyungtae Lee, Heesung Kwon +1
To effectively interrogate UAV-based images for detecting objects of interest, such as humans, it is essential to acquire large-scale UAV-based datasets that include human instance…
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata
Yi-Ting Shen, Yaesop Lee, Heesung Kwon +7
Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV's position towards…