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Ming-Hsuan Yang

4 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 author4

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

fields
  • cs.CV4
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 — 38 papers, h 0
  • Ming-Hsuan Yang — 18 papers, h 5
  • Ming-Hsuan Yang — 14 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

activity
20242026
most citedSharing Key Semantics in Transformer Makes Efficient Image Restoration

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding

Hang Wu, Sherin Mary Mathews, Yujun Cai +2

Online streaming video understanding requires models to process continuous visual inputs and respond to user queries in real time, where the unbounded stream and unpredictable quer…

cs.CV2025

Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified Tokenization

Guofeng Mei, Qinfeng Xiao, Bin Ren +7

Vision-language models, such as CLIP, encode rich semantic knowledge through large-scale image-text pretraining. Reusing these models for 3D understanding is highly desirable, beca…

cs.CV2024

Restore Anything Model via Efficient Degradation Adaptation

Bin Ren, Eduard Zamfir, Zongwei Wu +6

With the proliferation of mobile devices, the need for an efficient model to restore any degraded image has become increasingly significant and impactful. Traditional approaches ty…

cs.CV2024★ 1 cited

Sharing Key Semantics in Transformer Makes Efficient Image Restoration

Bin Ren, Yawei Li, Jingyun Liang +6

Image Restoration (IR), a classic low-level vision task, has witnessed significant advancements through deep models that effectively model global information. Notably, the emergenc…

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