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Ming-Hsuan Yang

38 papers hereh-index 00 citations0 works total

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

author position
  • middle author15
  • last author20

Across the 35 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CV38
same name
  • Ming-Hsuan Yang — 90 papers, h 72
  • Ming-Hsuan Yang — 85 papers, h 127
  • Ming-Hsuan Yang — 43 papers, h 14
  • Ming-Hsuan Yang — 18 papers, h 5
  • Ming-Hsuan Yang — 14 papers, h 4
  • Ming-Hsuan Yang — 14 papers, h 8

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
20152026
most citedIntriguing Properties of Vision Transformers

305 citations · 813 across the 36 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing

Tiancheng Shen, Zilong Huang, Xiangtai Li +6

Multimodal Diffusion Transformers (MM-DiTs) have recently emerged as a powerful framework for unified text-vision synthesis, surpassing traditional U-Net architectures in generativ…

cs.CV2026

Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing

Fangling Jiang, Qi Li, Bing Liu +4

Open-world face anti-spoofing must address both covariate and semantic shifts: source and target domains differ in imaging conditions, while target domains contain diverse attack t…

cs.CV2026

SeeSE3: Emergence of 3D Space in Vision Features

Caroline Chen, Sayna Ebrahimi, Fedor Kitashov +4

In this paper, we ask whether vision foundation models construct representations that reflect the intrinsic properties of 3D Euclidean space. Unlike previous works that probe 3D aw…

cs.CV2026

Beyond Random Sampling: Distribution-Aware Alignment for Semi-Supervised Medical Image Segmentation

Weihao Yan, Yeqiang Qian, Yi Dong +1

Precise medical image segmentation is crucial for clinical diagnosis and treatment planning, yet relies heavily on expensive expert annotations. Semi-supervised medical image segme…

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