2 citations · 6 across the 10 of their papers we have counts for
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cs.CV2023
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors
Ziwei Liao, Jun Yang, Jingxing Qian +2
3D object-level mapping is a fundamental problem in robotics, which is especially challenging when object CAD models are unavailable during inference. In this work, we propose a fr…
cs.RO2023★ 1 cited
Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera
Jun Yang, Jian Yao, Steven L. Waslander
6D pose estimation of textureless shiny objects has become an essential problem in many robotic applications. Many pose estimators require high-quality depth data, often measured b…
cs.CV2023★ 2 cited
Pixel Difference Convolutional Network for RGB-D Semantic Segmentation
Jun Yang, Lizhi Bai, Yaoru Sun +3
RGB-D semantic segmentation can be advanced with convolutional neural networks due to the availability of Depth data. Although objects cannot be easily discriminated by just the 2D…