4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 1 cited
Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving
Xiangyu Bai, Yedi Luo, Le Jiang +4
Modern autonomous systems require extensive testing to ensure reliability and build trust in ground vehicles. However, testing these systems in the real-world is challenging due to…
cs.CV2023★ 3 cited
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation
Le Jiang, Sarah Ostadabbas
Animal pose estimation has become a crucial area of research, but the scarcity of annotated data is a significant challenge in developing accurate models. Synthetic data has emerge…
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…