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Li Li

King's College London

4 papers hereh-index 6139 citations10 works total

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

author position
  • sole author1
  • middle author3

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

fields
  • cs.CV3
  • cs.RO1
affiliations
  • King's College London
HomepageORCID 0000-0002-9392-7862
same name
  • Li Li — 26 papers, h 12
  • Li Li — 23 papers, h 13
  • Li Li — 11 papers, h 9
  • Li Li — 11 papers, h 4
  • Li Li — 10 papers, h 4
  • Li Li — 10 papers, h 6

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

collaborators

4 papers

cs.RO2025

TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions

Yixin Sun, Li Li, Wenke E +2

Detecting traversable pathways in unstructured outdoor environments remains a significant challenge for autonomous robots, especially in critical applications such as wide-area sea…

cs.CV2025

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba

Jiaxu Liu, Li Li, Hubert P. H. Shum +1

Diffusion models currently demonstrate impressive performance over various generative tasks. Recent work on image diffusion highlights the strong capabilities of Mamba (state space…

cs.CV2025

Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving

Wenke E, Chao Yuan, Li Li +4

We present Dur360BEV, a novel spherical camera autonomous driving dataset equipped with a high-resolution 128-channel 3D LiDAR and a RTK-refined GNSS/INS system, along with a bench…

cs.CV2024

On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR

Li Li

3D LiDAR point cloud data is crucial for scene perception in computer vision, robotics, and autonomous driving. Geometric and semantic scene understanding, involving 3D point cloud…

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