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Mingwei Li

14 papers hereh-index 12400 citations41 works total

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

author position
  • first author3
  • middle author8
  • last author3

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.HC5
  • cs.CV4
  • cs.AI1
  • cs.CL1
  • cs.DB1
  • cs.DS1
same name
  • Mingwei Li — 6 papers
  • Mingwei Li — 1 paper, h 10
  • Mingwei Li — 1 paper, h 3

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
20182026
most citedGraph Drawing via Gradient Descent, (GD)2

3 citations · 4 across the 11 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation

Mingwei Li, Hehe Fan, Yi Yang

Monocular normal estimation for transparent objects is critical for laboratory automation, yet it remains challenging due to complex light refraction and reflection. These optical…

cs.CV2025

BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment

Dewei Zhou, Mingwei Li, Zongxin Yang +5

Conditional image generation enhances text-to-image synthesis with structural, spatial, or stylistic priors, but current methods face challenges in handling conflicts between sourc…

cs.CV2025

DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models

Dewei Zhou, Mingwei Li, Zongxin Yang +1

Image-conditioned generation methods, such as depth- and canny-conditioned approaches, have demonstrated remarkable abilities for precise image synthesis. However, existing models…

cs.CV2025

TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors

Mingwei Li, Pu Pang, Hehe Fan +2

Reconstructing transparent surfaces is essential for tasks such as robotic manipulation in labs, yet it poses a significant challenge for 3D reconstruction techniques like 3D Gauss…

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