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researcher

Lu Yuan

73 papers hereh-index 6325.9k citations98 works total

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

author position
  • first author1
  • middle author60
  • last author11

Across the 72 of 73 papers where every author was matched, so the position is known.

fields
  • cs.CV71
  • cs.GR1
  • cs.LG1
same name
  • Lu Yuan — 28 papers, h 20
  • Lu Yuan — 7 papers, h 5
  • Lu Yuan — 6 papers, h 4
  • Lu Yuan — 5 papers, h 10
  • Lu Yuan — 5 papers, h 5
  • Lu Yuan — 3 papers, h 3

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
20162023
most citedFlorence: A New Foundation Model for Computer Vision

342 citations · 2.4k across the 71 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting

Qidong Huang, Xiaoyi Dong, Dongdong Chen +5

In this paper, we investigate the adversarial robustness of vision transformers that are equipped with BERT pretraining (e.g., BEiT, MAE). A surprising observation is that MAE has…

cs.CV2023★ 2 cited

HQ-50K: A Large-scale, High-quality Dataset for Image Restoration

Qinhong Yang, Dongdong Chen, Zhentao Tan +6

This paper introduces a new large-scale image restoration dataset, called HQ-50K, which contains 50,000 high-quality images with rich texture details and semantic diversity. We ana…

cs.CV2023★ 5 cited

Designing a Better Asymmetric VQGAN for StableDiffusion

Zixin Zhu, Xuelu Feng, Dongdong Chen +5

StableDiffusion is a revolutionary text-to-image generator that is causing a stir in the world of image generation and editing. Unlike traditional methods that learn a diffusion mo…

cs.CV2023★ 65 cited

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

Shihao Zhao, Dongdong Chen, Yen-Chun Chen +4

Text-to-Image diffusion models have made tremendous progress over the past two years, enabling the generation of highly realistic images based on open-domain text descriptions. How…

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