Search Results for author: Christopher Maxey

Found 2 papers, 0 papers with code

TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes

no code implementations4 May 2024 Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon

In this paper, we present a new approach to bridge the domain gap between synthetic and real-world data for un- manned aerial vehicle (UAV)-based perception.

UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception

no code implementations25 Oct 2023 Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon

Using various synthetic renderers in conjunction with perception models is prevalent to create synthetic data to augment the learning in the ground-based imaging domain.

Data Augmentation Image Generation +2

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