1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Depth-Copy-Paste: Multimodal and Depth-Aware Compositing for Robust Face Detection
Qiushi Guo
Data augmentation is crucial for improving the robustness of face detection systems, especially under challenging conditions such as occlusion, illumination variation, and complex…
cs.CV2025★ 1 cited
SynRailObs: A Synthetic Dataset for Obstacle Detection in Railway Scenarios
Qiushi Guo, Jason Rambach
Detecting potential obstacles in railway environments is critical for preventing serious accidents. Identifying a broad range of obstacle categories under complex conditions requir…