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Senbo Yan

2 accepted papers

2022

Lidar Point Cloud Guided Monocular 3D Object Detection

ECCV 2022poster

"Monocular 3D object detection is a challenging task in the self-driving and computer vision community. As a common practice, most previous works use manually annotated 3D box labels, where the annotating process is expensive. In this paper, we find that the precisely and carefully annotated labels…

2022

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection

ICLR 2022poster

Monocular 3D object detection is one of the most challenging tasks in 3D scene understanding. Due to the ill-posed nature of monocular imagery, existing monocular 3D detection methods highly rely on training with the manually annotated 3D box labels on the LiDAR point clouds. This annotation process…