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Kai Han

5 papers here

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

author position
  • middle author2
  • last author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
ORCID 0009-0001-3847-2631
same name
  • Kai Han — 26 papers
  • Kai Han — 25 papers
  • Kai Han — 12 papers
  • Kai Han — 6 papers
  • Kai Han — 3 papers
  • Kai Han — 2 papers

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

most citedSpecies196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

RegionDrag: Fast Region-Based Image Editing with Diffusion Models

Jingyi Lu, Xinghui Li, Kai Han

Point-drag-based image editing methods, like DragDiffusion, have attracted significant attention. However, point-drag-based approaches suffer from computational overhead and misint…

cs.CV2024★ 1 cited

A Survey on 3D Human Avatar Modeling -- From Reconstruction to Generation

Ruihe Wang, Yukang Cao, Kai Han +1

3D modeling has long been an important area in computer vision and computer graphics. Recently, thanks to the breakthroughs in neural representations and generative models, we witn…

cs.CV2024★ 1 cited

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Jianyuan Guo, Hanting Chen, Chengcheng Wang +3

Recent advancements in large language models have sparked interest in their extraordinary and near-superhuman capabilities, leading researchers to explore methods for evaluating an…

cs.CV2023★ 2 cited

Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition

Wei He, Kai Han, Ying Nie +2

The development of foundation vision models has pushed the general visual recognition to a high level, but cannot well address the fine-grained recognition in specialized domain su…

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