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Min-Hung Chen

23 papers hereh-index 71.1k citations21 works total

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

author position
  • middle author16
  • last author5

Across the 21 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.AI2
  • cs.CL2
  • cs.RO2
  • cs.LG1
same name
  • Min-Hung Chen — 22 papers, h 15
  • Min-Hung Chen — 13 papers, h 6
  • Min-Hung Chen — 6 papers, h 3
  • Min-Hung Chen — 4 papers, h 3
  • Min-Hung Chen — 2 papers, h 2
  • Min-Hung Chen — 1 paper

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
20232026
most citedDoRA: Weight-Decomposed Low-Rank Adaptation

38 citations · 41 across the 20 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

VIEScore2: Unified Image Evaluation with Spatially Grounded Explanations

Xianda Du, Max Ku, Weiming Ren +5

Existing synthetic image evaluators typically provide only a scalar quality score and do not identify the image regions that support it. We introduce VIEScore2, a unified evaluator…

cs.CV2026

SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning

Seokju Cho, Ryo Hachiuma, Abhishek Badki +8

Spatial reasoning, the ability to determine where objects are, how they relate, and how they move in 3D, remains a fundamental challenge for vision-language models (VLMs). Tool-aug…

cs.CV2026

DVSM: Decoder-only View Synthesis Model Done Right

Cheng Sun, Jaesung Choe, Min-Hung Chen +2

Recent Large View Synthesis Models (LVSMs) advocate an encoder-decoder architecture that separates reconstruction and rendering into distinct networks. We re-examine this design. T…

cs.CV2026

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

Chi-Pin Huang, Yunze Man, Zhiding Yu +4

Vision-Language-Action (VLA) tasks require reasoning over complex visual scenes and executing adaptive actions in dynamic environments. While recent studies on reasoning VLAs show…

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