2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection
Lei Yang, Xinyu Zhang, Jun Li +5
Roadside perception can greatly increase the safety of autonomous vehicles by extending their perception ability beyond the visual range and addressing blind spots. However, curren…
cs.CV2023★ 2 cited
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings
Lei Yang, Jiaxin Yu, Xinyu Zhang +6
Although the majority of recent autonomous driving systems concentrate on developing perception methods based on ego-vehicle sensors, there is an overlooked alternative approach th…
cs.CV2022★ 2 cited
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
Lei Yang, Xinyu Zhang, Li Wang +3
Monocular 3D object detection is an essential perception task for autonomous driving. However, the high reliance on large-scale labeled data make it costly and time-consuming durin…