2 citations · 2 across the 3 of their papers we have counts for
4 papers
LLM-RG: Referential Grounding in Outdoor Scenarios using Large Language Models
Pranav Saxena, Avigyan Bhattacharya, Ji Zhang +1
Referential grounding in outdoor driving scenes is challenging due to large scene variability, many visually similar objects, and dynamic elements that complicate resolving natural…
SORT3D: Spatial Object-centric Reasoning Toolbox for Zero-Shot 3D Grounding Using Large Language Models
Nader Zantout, Haochen Zhang, Pujith Kachana +4
Interpreting object-referential language and grounding objects in 3D with spatial relations and attributes is essential for robots operating alongside humans. However, this task is…
IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes
Haochen Zhang, Nader Zantout, Pujith Kachana +2
With the recent rise of large language models, vision-language models, and other general foundation models, there is growing potential for multimodal, multi-task robotics that can…
VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation
Haochen Zhang, Nader Zantout, Pujith Kachana +3
With the recent rise of Large Language Models (LLMs), Vision-Language Models (VLMs), and other general foundation models, there is growing potential for multimodal, multi-task embo…