4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 1 cited
Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis
Yedi Luo, Xiangyu Bai, Le Jiang +4
This paper presents a novel approach, TeFS (Temporal-controlled Frame Swap), to generate synthetic stereo driving data for visual simultaneous localization and mapping (vSLAM) task…
cs.CV2022★ 4 cited
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data
Le Jiang, Shuangjun Liu, Xiangyu Bai +1
Accurately annotated image datasets are essential components for studying animal behaviors from their poses. Compared to the number of species we know and may exist, the existing l…