3 papers
cs.CV2026
Selective Transfer Learning of Cross-Modality Distillation for Monocular 3D Object Detection
Rui Ding, Meng Yang, Nanning Zheng
Monocular 3D object detection is a promising yet ill-posed task for autonomous vehicles due to the lack of accurate depth information. Cross-modality knowledge distillation could e…
cs.CV2023
G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data
Haotian Wang, Meng Yang, Nanning Zheng
Monocular depth inference is a fundamental problem for scene perception of robots. Specific robots may be equipped with a camera plus an optional depth sensor of any type and locat…
cs.CV2023
FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene
Chengrui Wei, Meng Yang, Lei He +1
It has long been an ill-posed problem to predict absolute depth maps from single images in real (unseen) indoor scenes. We observe that it is essentially due to not only the scale-…