Fangtai Guo — accepted AI-conference papers

2023

Fast Contextual Scene Graph Generation With Unbiased Context Augmentation

Tianlei Jin, Fangtai Guo, Qiwei Meng, Shiqiang Zhu, Xiangming Xi, Wen Wang +2

CVPR 2023poster

Scene graph generation (SGG) methods have historically suffered from long-tail bias and slow inference speed. In this paper, we notice that humans can analyze relationships between objects relying solely on context descriptions,and this abstract cognitive process may be guided by experience. For exa…

Cited by 21 Source ↗PDF ↗code ↗Scholar ↗

2023

KGNet: Knowledge-Guided Networks for Category-Level 6D Object Pose and Size Estimation

Qiwei Meng, Jason Gu, Shiqiang Zhu, Jianfeng Liao, Tianlei Jin, Fangtai Guo +2

ICRA 2023poster

Despite the giant leap made in object 6D pose estimation and robotic grasping under structured scenarios, most approaches depend heavily on the exact CAD models of target objects beforehand, thereby limiting their wide applications. To address this, we propose a novel knowledge-guided network - KGNe…

Cited by 15 Source ↗Scholar ↗