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researcher

Tai Wang

23 papers hereh-index 161.4k citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author22

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.RO6
same name
  • Tai Wang — 25 papers, h 11
  • Tai Wang — 18 papers, h 18
  • Tai Wang — 6 papers, h 4
  • Tai Wang — 4 papers, h 4
  • Tai Wang — 2 papers, h 3
  • Tai Wang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPointLLM: Empowering Large Language Models to Understand Point Clouds

5 citations · 16 across the 21 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

Tai Wang, Xiaohan Mao, Chenming Zhu +11

In the realm of computer vision and robotics, embodied agents are expected to explore their environment and carry out human instructions. This necessitates the ability to fully und…

cs.CV2023★ 3 cited

Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection

Chenming Zhu, Wenwei Zhang, Tai Wang +2

Point cloud-based open-vocabulary 3D object detection aims to detect 3D categories that do not have ground-truth annotations in the training set. It is extremely challenging becaus…

cs.CV2023★ 4 cited

Unified Human-Scene Interaction via Prompted Chain-of-Contacts

Zeqi Xiao, Tai Wang, Jingbo Wang +5

Human-Scene Interaction (HSI) is a vital component of fields like embodied AI and virtual reality. Despite advancements in motion quality and physical plausibility, two pivotal fac…

cs.CV2023★ 5 cited

PointLLM: Empowering Large Language Models to Understand Point Clouds

Runsen Xu, Xiaolong Wang, Tai Wang +3

The unprecedented advancements in Large Language Models (LLMs) have shown a profound impact on natural language processing but are yet to fully embrace the realm of 3D understandin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.