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Ke Li

4 papers hereh-index 7116 citations20 works total

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

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.GR2
  • cs.CV1
  • cs.RO1
same name
  • Ke Li — 103 papers
  • Ke Li — 33 papers, h 33
  • Ke Li — 31 papers, h 21
  • Ke Li — 29 papers, h 8
  • Ke Li — 20 papers, h 34
  • Ke Li — 18 papers, h 5

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
20222025
most citedImmersive Neural Graphics Primitives

7 citations · 7 across the 3 of their papers we have counts for

collaborators

4 papers

cs.GR2025

Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned and Addressed for XR Research

Ke Li, Mana Masuda, Susanne Schmidt +1

The development of radiance fields (RF), such as 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF), has revolutionized interactive photorealistic view synthesis and pr…

cs.RO2024

Reality Fusion: Robust Real-time Immersive Mobile Robot Teleoperation with Volumetric Visual Data Fusion

Ke Li, Reinhard Bacher, Susanne Schmidt +2

We introduce Reality Fusion, a novel robot teleoperation system that localizes, streams, projects, and merges a typical onboard depth sensor with a photorealistic, high resolution,…

cs.GR2023

Magic NeRF Lens: Interactive Fusion of Neural Radiance Fields for Virtual Facility Inspection

Ke Li, Susanne Schmidt, Tim Rolff +3

Large industrial facilities such as particle accelerators and nuclear power plants are critical infrastructures for scientific research and industrial processes. These facilities a…

cs.CV2022★ 7 cited

Immersive Neural Graphics Primitives

Ke Li, Tim Rolff, Susanne Schmidt +4

Neural radiance field (NeRF), in particular its extension by instant neural graphics primitives, is a novel rendering method for view synthesis that uses real-world images to build…

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