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Xiao Han

6 papers hereh-index 455 citations9 works total

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

author position
  • first author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV6
same name
  • Xiao Han — 13 papers, h 14
  • Xiao Han — 10 papers, h 57
  • Xiao Han — 10 papers, h 9
  • Xiao Han — 9 papers, h 2
  • Xiao Han — 8 papers, h 6
  • Xiao Han — 7 papers, h 19

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
20242026
most citedLiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment

1 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Towards Practical Human Motion Prediction with LiDAR Point Clouds

Xiao Han, Yiming Ren, Yichen Yao +2

Human motion prediction is crucial for human-centric multimedia understanding and interacting. Current methods typically rely on ground truth human poses as observed input, which i…

cs.CV2024★ 1 cited

LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment

Yiming Ren, Xiao Han, Yichen Yao +3

LiDAR-based human motion capture has garnered significant interest in recent years for its practicability in large-scale and unconstrained environments. However, most methods rely…

cs.CV2024

A Unified Framework for Human-centric Point Cloud Video Understanding

Yiteng Xu, Kecheng Ye, Xiao Han +3

Human-centric Point Cloud Video Understanding (PVU) is an emerging field focused on extracting and interpreting human-related features from sequences of human point clouds, further…

cs.CV2024★ 1 cited

LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment

Yiming Ren, Xiao Han, Chengfeng Zhao +4

For human-centric large-scale scenes, fine-grained modeling for 3D human global pose and shape is significant for scene understanding and can benefit many real-world applications.…

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