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Qicheng Lao

23 papers hereh-index 191.2k citations51 works total

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

author position
  • first author6
  • middle author8
  • last author7

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

fields
  • cs.CV17
  • cs.LG5
  • eess.IV1
same name
  • Qicheng Lao — 8 papers, h 2
  • Qicheng Lao — 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

activity
20182026
most citedSAM on Medical Images: A Comprehensive Study on Three Prompt Modes

56 citations · 223 across the 22 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition

Qingbo Kang, Jun Gao, Kang Li +1

Masked autoencoder (MAE) has attracted unprecedented attention and achieves remarkable performance in many vision tasks. It reconstructs random masked image patches (known as proxy…

cs.CV2023

ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models

Huahui Yi, Ziyuan Qin, Wei Xu +5

Large pre-trained vision-language models have shown great prominence in transferring pre-acquired knowledge to various domains and downstream tasks with appropriate prompting or tu…

cs.CV2023★ 56 cited

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

Dongjie Cheng, Ziyuan Qin, Zekun Jiang +3

The Segment Anything Model (SAM) made an eye-catching debut recently and inspired many researchers to explore its potential and limitation in terms of zero-shot generalization capa…

cs.CV2023★ 11 cited

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

Huahui Yi, Ziyuan Qin, Qicheng Lao +5

Inevitable domain and task discrepancies in real-world scenarios can impair the generalization performance of the pre-trained deep models for medical data. Therefore, we audaciousl…

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