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Xiaokang Yang

18 papers hereh-index 7159 citations26 works total

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

author position
  • middle author5
  • last author13

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.RO1
same name
  • Xiaokang Yang — 67 papers, h 78
  • Xiaokang Yang — 30 papers, h 10
  • Xiaokang Yang — 28 papers, h 10
  • Xiaokang Yang — 25 papers, h 13
  • Xiaokang Yang — 22 papers, h 6
  • Xiaokang Yang — 20 papers, h 20

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 citedRethinking Clothes Changing Person ReID: Conflicts, Synthesis, and Optimization

2 citations · 5 across the 17 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

POLAR: A Portrait OLAT Dataset and Generative Framework for Illumination-Aware Face Modeling

Zhuo Chen, Chengqun Yang, Zhuo Su +5

Face relighting aims to synthesize realistic portraits under novel illumination while preserving identity and geometry. However, progress remains constrained by the limited availab…

cs.CV2025

MoRE: 3D Visual Geometry Reconstruction Meets Mixture-of-Experts

Jingnan Gao, Zhe Wang, Xianze Fang +7

Recent advances in language and vision have demonstrated that scaling up model capacity consistently improves performance across diverse tasks. In 3D visual geometry reconstruction…

cs.CV2025★ 1 cited

Dens3R: A Foundation Model for 3D Geometry Prediction

Xianze Fang, Jingnan Gao, Zhe Wang +8

Recent advances in dense 3D reconstruction have led to significant progress, yet achieving accurate unified geometric prediction remains a major challenge. Most existing methods ar…

cs.CV2025★ 1 cited

MARS: Mesh AutoRegressive Model for 3D Shape Detailization

Jingnan Gao, Weizhe Liu, Weixuan Sun +8

State-of-the-art methods for mesh detailization predominantly utilize Generative Adversarial Networks (GANs) to generate detailed meshes from coarse ones. These methods typically l…

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