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researcher

Lan Xu

12 papers hereh-index 343.4k citations200 works total

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

author position
  • first author2
  • middle author5
  • last author4

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • math.DS1
  • quant-ph1
same name
  • Lan Xu — 44 papers, h 29
  • Lan Xu — 19 papers, h 11
  • Lan Xu — 18 papers, h 8
  • Lan Xu — 7 papers, h 4
  • Lan Xu — 6 papers, h 2
  • Lan Xu — 5 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

activity
20112023
most citedVariational principle for non-additive neutralized Bowen topological pressure

7 citations · 30 across the 12 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

4 papers · 2 filters

cs.CV2022★ 1 cited

HumanGen: Generating Human Radiance Fields with Explicit Priors

Suyi Jiang, Haoran Jiang, Ziyu Wang +3

Recent years have witnessed the tremendous progress of 3D GANs for generating view-consistent radiance fields with photo-realism. Yet, high-quality generation of human radiance fie…

cs.CV2022

Relightable Neural Human Assets from Multi-view Gradient Illuminations

Taotao Zhou, Kai He, Di Wu +6

Human modeling and relighting are two fundamental problems in computer vision and graphics, where high-quality datasets can largely facilitate related research. However, most exist…

cs.CV2022★ 5 cited

Learning Variational Motion Prior for Video-based Motion Capture

Xin Chen, Zhuo Su, Lingbo Yang +4

Motion capture from a monocular video is fundamental and crucial for us humans to naturally experience and interact with each other in Virtual Reality (VR) and Augmented Reality (A…

cs.CV2022★ 5 cited

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Peishan Cong, Xinge Zhu, Feng Qiao +7

Accurately detecting and tracking pedestrians in 3D space is challenging due to large variations in rotations, poses and scales. The situation becomes even worse for dense crowds w…

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