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M. Kang

4 papers hereh-index 11 citations6 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV3
  • cs.AI1
same name
  • M. Kang — 21 papers, h 12
  • M. Kang — 8 papers, h 6
  • M. Kang — 6 papers, h 1
  • M. Kang — 5 papers, h 15
  • M. Kang — 3 papers, h 0
  • M. Kang — 3 papers, h 4

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

collaborators

4 papers

cs.CV2026

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence

Hanqi Jiang, Junhao Chen, Mingyu Kang +12

Medical vision--language models (VLMs) are usually evaluated on intact image--question pairs, but trustworthy clinical use requires a stronger property: a model must recognise when…

cs.AI2026

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models

Keuntae Kim, Mingyu Kang, Yong Suk Choi

Diffusion large language models (dLLMs) are emerging as promising alternatives to autoregressive (AR) LLMs. Recently, this paradigm has been extended to multimodal tasks, leading t…

cs.CV2026

LogoDiffuser: Training-Free Multilingual Logo Generation and Stylization via Letter-Aware Attention Control

Mingyu Kang, Hyein Seo, Yuna Jeong +2

Recent advances in text-to-image generation have been remarkable, but generating multilingual design logos that harmoniously integrate visual and textual elements remains a challen…

cs.CV2025

Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation

Mingyu Kang, Yong Suk Choi

Text-to-image diffusion models have achieved remarkable success in generating high-quality and diverse images. Building on these advancements, diffusion models have also demonstrat…

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