Xiuquan Qiao — accepted AI-conference papers

2024

SM3: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects

Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang +3

ICRA 2024poster

Reconstructing real-world objects and estimating their movable joint structures are pivotal technologies within the field of robotics. Previous research has predominantly focused on supervised approaches, relying on annotated datasets to model articulated objects within limited categories. However,…

Cited by 1 Source ↗Scholar ↗

2022

RGB-Depth Fusion GAN for Indoor Depth Completion

Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi +2

CVPR 2022poster

The raw depth image captured by the indoor depth sensor usually has an extensive range of missing depth values due to inherent limitations such as the inability to perceive transparent objects and limited distance range. The incomplete depth map burdens many downstream vision tasks, and a rising num…

Cited by 44 PDF ↗Scholar ↗