3 citations · 4 across the 2 of their papers we have counts for
4 papers
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…
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…
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification
Hyungtae Lee, Sungmin Eum, Heesung Kwon
We present a Momentum Re-identification (MoReID) framework that can leverage a very large number of negative samples in training for general re-identification task. The design of t…
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification
Yilun Cao, Hyungtae Lee, Heesung Kwon
In this paper, we introduce a novel fusion method that can enhance object detection performance by fusing decisions from two different types of computer vision tasks: object detect…