19 citations · 43 across the 13 of their papers we have counts for
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cs.RO2023★ 19 cited
Vision-Language Foundation Models as Effective Robot Imitators
Xinghang Li, Minghuan Liu, Hanbo Zhang +9
Recent progress in vision language foundation models has shown their ability to understand multimodal data and resolve complicated vision language tasks, including robotics manipul…
cs.RO2023★ 1 cited
InViG: Benchmarking Interactive Visual Grounding with 500K Human-Robot Interactions
Hanbo Zhang, Jie Xu, Yuchen Mo +1
Ambiguity is ubiquitous in human communication. Previous approaches in Human-Robot Interaction (HRI) have often relied on predefined interaction templates, leading to reduced perfo…
cs.CV2023★ 1 cited
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Yan Zeng, Hanbo Zhang, Jiani Zheng +5
Recent advancements in Large Language Models (LLMs) such as GPT4 have displayed exceptional multi-modal capabilities in following open-ended instructions given images. However, the…