Anran Lin — accepted AI-conference papers

2024

Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models

Zhen Zhang, Anran Lin, Chun Wai Wong, Xiangyu Chu, Qi Dou, K. W. Samuel Au

ICRA 2024poster

This paper proposes an interactive navigation framework by using large language and vision-language models, allowing robots to navigate in environments with traversable obstacles. We utilize the large language model (GPT-3.5) and the open-set Vision-language Model (Grounding DINO) to create an actio…

Cited by 12 Source ↗Scholar ↗

2021

Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images

Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui

CVPR 2021poster

Grounding referring expressions in RGBD image has been an emerging field. We present a novel task of 3D visual grounding in single-view RGBD image where the referred objects are often only partially scanned due to occlusion. In contrast to previous works that directly generate object proposals for g…

Cited by 43 PDF ↗Scholar ↗