5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 5 cited
M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Mingsheng Li, Xin Chen, Chi Zhang +5
Recently, 3D understanding has become popular to facilitate autonomous agents to perform further decisionmaking. However, existing 3D datasets and methods are often limited to spec…
cs.CV2023★ 1 cited
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
Sijin Chen, Xin Chen, Chi Zhang +6
Recent advances in Large Multimodal Models (LMM) have made it possible for various applications in human-machine interactions. However, developing LMMs that can comprehend, reason,…
cs.CV2023
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
Sijin Chen, Hongyuan Zhu, Mingsheng Li +6
3D dense captioning requires a model to translate its understanding of an input 3D scene into several captions associated with different object regions. Existing methods adopt a so…