1 citations · 3 across the 9 of their papers we have counts for
11 papers
MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency
Dongki Jung, Jaehoon Choi, Yonghan Lee +3
Monocular 3D foundation models offer an extensible solution for perception tasks, making them attractive for broader 3D vision applications. In this paper, we propose MoRe, a train…
UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting
Jaehoon Choi, Dongki Jung, Christopher Maxey +4
Despite significant advancements in dynamic neural rendering, existing methods fail to address the unique challenges posed by UAV-captured scenarios, particularly those involving m…
UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting
Jaehoon Choi, Dongki Jung, Yonghan Lee +3
We present UAVTwin, a method for creating digital twins from real-world environments and facilitating data augmentation for training downstream models embedded in unmanned aerial v…
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs
Yi-Ting Shen, Sungmin Eum, Doheon Lee +4
Composed pose retrieval (CPR) enables users to search for human poses by specifying a reference pose and a transition description, but progress in this field is hindered by the sca…
MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering
Jaehoon Choi, Yonghan Lee, Hyungtae Lee +2
Recently, 3D Gaussian splatting has gained attention for its capability to generate high-fidelity rendering results. At the same time, most applications such as games, animation, a…
Exploring the Potential of Synthetic Data to Replace Real Data
Hyungtae Lee, Yan Zhang, Heesung Kwon +1
The potential of synthetic data to replace real data creates a huge demand for synthetic data in data-hungry AI. This potential is even greater when synthetic data is used for trai…
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…
TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes
Christopher Maxey, Jaehoon Choi, Yonghan Lee +3
In this paper, we present a new approach to bridge the domain gap between synthetic and real-world data for unmanned aerial vehicle (UAV)-based perception. Our formulation is desig…
UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception
Christopher Maxey, Jaehoon Choi, Hyungtae Lee +2
Tremendous variations coupled with large degrees of freedom in UAV-based imaging conditions lead to a significant lack of data in adequately learning UAV-based perception models. U…