Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Multi-Modal Decouple and Recouple Network for Robust 3D Object Detection
Rui Ding, Zhaonian Kuang, Yuzhe Ji +3
Multi-modal 3D object detection with bird's eye view (BEV) has achieved desired advances on benchmarks. Nonetheless, the accuracy may drop significantly in the real world due to da…
cs.CV2025
Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting
Delong Suzhang, Meng Yang
The low-quality structure in raw depth maps is prevalent in real-world RGB-D datasets, which makes real-world depth recovery a critical task in recent years. However, the lack of p…
cs.CV2024
Scale Propagation Network for Generalizable Depth Completion
Haotian Wang, Meng Yang, Xinhu Zheng +1
Depth completion, inferring dense depth maps from sparse measurements, is crucial for robust 3D perception. Although deep learning based methods have made tremendous progress in th…