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Ming-Yu Liu

120 papers hereh-index 5534.4k citations292 works total

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

author position
  • first author5
  • middle author40
  • last author7

Across the 52 of 120 papers where every author was matched, so the position is known.

fields
  • hep-ex76
  • cs.CV38
  • cs.CL2
  • cs.LG2
  • cs.RO1
  • stat.ML1
same name
  • Ming-Yu Liu — 21 papers, h 22
  • Ming-Yu Liu — 21 papers, h 15
  • Ming-Yu Liu — 14 papers, h 8
  • Ming-Yu Liu — 7 papers, h 4
  • Ming-Yu Liu — 5 papers, h 5
  • Ming-Yu Liu — 5 papers, h 2

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
20152026
most citedUnsupervised Image-to-Image Translation Networks

508 citations · 2.4k across the 113 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CV2022

L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter

Jiaru Jia, Mingzhe Liu, Jiake Xie +4

Generating semantic segmentation datasets has consistently been laborious and time-consuming, particularly in the context of large models or specialized domains(i.e. Medical Imagin…

cs.CV2022★ 25 cited

Magic3D: High-Resolution Text-to-3D Content Creation

Chen-Hsuan Lin, Jun Gao, Luming Tang +7

DreamFusion has recently demonstrated the utility of a pre-trained text-to-image diffusion model to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesi…

cs.CV2022★ 5 cited

3D Object Detection with a Self-supervised Lidar Scene Flow Backbone

Ekim Yurtsever, Emeç Erçelik, Mingyu Liu +6

State-of-the-art lidar-based 3D object detection methods rely on supervised learning and large labeled datasets. However, annotating lidar data is resource-consuming, and depending…

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